diff --git a/404.html b/404.html index 038280dc1..eae161098 100644 --- a/404.html +++ b/404.html @@ -8,13 +8,13 @@ - - + + -

404

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+ - + diff --git a/about.html b/about.html index 123337390..6cd8962a3 100644 --- a/about.html +++ b/about.html @@ -8,8 +8,8 @@ - - + +
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persetEqual":"⊒","SquareUnion":"⊔","squarf":"▪","squ":"□","squf":"▪","srarr":"→","Sscr":"𝒮","sscr":"𝓈","ssetmn":"∖","ssmile":"⌣","sstarf":"⋆","Star":"⋆","star":"☆","starf":"★","straightepsilon":"ϵ","straightphi":"ϕ","strns":"¯","sub":"⊂","Sub":"⋐","subdot":"⪽","subE":"⫅","sube":"⊆","subedot":"⫃","submult":"⫁","subnE":"⫋","subne":"⊊","subplus":"⪿","subrarr":"⥹","subset":"⊂","Subset":"⋐","subseteq":"⊆","subseteqq":"⫅","SubsetEqual":"⊆","subsetneq":"⊊","subsetneqq":"⫋","subsim":"⫇","subsub":"⫕","subsup":"⫓","succapprox":"⪸","succ":"≻","succcurlyeq":"≽","Succeeds":"≻","SucceedsEqual":"⪰","SucceedsSlantEqual":"≽","SucceedsTilde":"≿","succeq":"⪰","succnapprox":"⪺","succneqq":"⪶","succnsim":"⋩","succsim":"≿","SuchThat":"∋","sum":"∑","Sum":"∑","sung":"♪","sup1":"¹","sup2":"²","sup3":"³","sup":"⊃","Sup":"⋑","supdot":"⪾","supdsub":"⫘","supE":"⫆","supe":"⊇","supedot":"⫄","Superset":"⊃","SupersetEqual":"⊇","suphsol":"⟉","suphsub":"⫗","suplarr":"⥻","supmult":"⫂","supnE":"⫌","supne":"⊋","supplus":"⫀","supset":"⊃","Supset":"⋑","supseteq":"⊇","supseteqq":"⫆","supsetneq":"⊋","supsetneqq":"⫌","supsim":"⫈","supsub":"⫔","supsup":"⫖","swarhk":"⤦","swarr":"↙","swArr":"⇙","swarrow":"↙","swnwar":"⤪","szlig":"ß","Tab":"\\t","target":"⌖","Tau":"Τ","tau":"τ","tbrk":"⎴","Tcaron":"Ť","tcaron":"ť","Tcedil":"Ţ","tcedil":"ţ","Tcy":"Т","tcy":"т","tdot":"⃛","telrec":"⌕","Tfr":"𝔗","tfr":"𝔱","there4":"∴","therefore":"∴","Therefore":"∴","Theta":"Θ","theta":"θ","thetasym":"ϑ","thetav":"ϑ","thickapprox":"≈","thicksim":"∼","ThickSpace":"  ","ThinSpace":" ","thinsp":" ","thkap":"≈","thksim":"∼","THORN":"Þ","thorn":"þ","tilde":"˜","Tilde":"∼","TildeEqual":"≃","TildeFullEqual":"≅","TildeTilde":"≈","timesbar":"⨱","timesb":"⊠","times":"×","timesd":"⨰","tint":"∭","toea":"⤨","topbot":"⌶","topcir":"⫱","top":"⊤","Topf":"𝕋","topf":"𝕥","topfork":"⫚","tosa":"⤩","tprime":"‴","trade":"™","TRADE":"™","triangle":"▵","triangledown":"▿","triangleleft":"◃","trianglelefteq":"⊴","triangleq":"≜","triangleright":"▹","trianglerighteq":"⊵","tridot":"◬","trie":"≜","triminus":"⨺","TripleDot":"⃛","triplus":"⨹","trisb":"⧍","tritime":"⨻","trpezium":"⏢","Tscr":"𝒯","tscr":"𝓉","TScy":"Ц","tscy":"ц","TSHcy":"Ћ","tshcy":"ћ","Tstrok":"Ŧ","tstrok":"ŧ","twixt":"≬","twoheadleftarrow":"↞","twoheadrightarrow":"↠","Uacute":"Ú","uacute":"ú","uarr":"↑","Uarr":"↟","uArr":"⇑","Uarrocir":"⥉","Ubrcy":"Ў","ubrcy":"ў","Ubreve":"Ŭ","ubreve":"ŭ","Ucirc":"Û","ucirc":"û","Ucy":"У","ucy":"у","udarr":"⇅","Udblac":"Ű","udblac":"ű","udhar":"⥮","ufisht":"⥾","Ufr":"𝔘","ufr":"𝔲","Ugrave":"Ù","ugrave":"ù","uHar":"⥣","uharl":"↿","uharr":"↾","uhblk":"▀","ulcorn":"⌜","ulcorner":"⌜","ulcrop":"⌏","ultri":"◸","Umacr":"Ū","umacr":"ū","uml":"¨","UnderBar":"_","UnderBrace":"⏟","UnderBracket":"⎵","UnderParenthesis":"⏝","Union":"⋃","UnionPlus":"⊎","Uogon":"Ų","uogon":"ų","Uopf":"𝕌","uopf":"𝕦","UpArrowBar":"⤒","uparrow":"↑","UpArrow":"↑","Uparrow":"⇑","UpArrowDownArrow":"⇅","updownarrow":"↕","UpDownArrow":"↕","Updownarrow":"⇕","UpEquilibrium":"⥮","upharpoonleft":"↿","upharpoonright":"↾","uplus":"⊎","UpperLeftArrow":"↖","UpperRightArrow":"↗","upsi":"υ","Upsi":"ϒ","upsih":"ϒ","Upsilon":"Υ","upsilon":"υ","UpTeeArrow":"↥","UpTee":"⊥","upuparrows":"⇈","urcorn":"⌝","urcorner":"⌝","urcrop":"⌎","Uring":"Ů","uring":"ů","urtri":"◹","Uscr":"𝒰","uscr":"𝓊","utdot":"⋰","Utilde":"Ũ","utilde":"ũ","utri":"▵","utrif":"▴","uuarr":"⇈","Uuml":"Ü","uuml":"ü","uwangle":"⦧","vangrt":"⦜","varepsilon":"ϵ","varkappa":"ϰ","varnothing":"∅","varphi":"ϕ","varpi":"ϖ","varpropto":"∝","varr":"↕","vArr":"⇕","varrho":"ϱ","varsigma":"ς","varsubsetneq":"⊊︀","varsubsetneqq":"⫋︀","varsupsetneq":"⊋︀","varsupsetneqq":"⫌︀","vartheta":"ϑ","vartriangleleft":"⊲","vartriangleright":"⊳","vBar":"⫨","Vbar":"⫫","vBarv":"⫩","Vcy":"В","vcy":"в","vdash":"⊢","vDash":"⊨","Vdash":"⊩","VDash":"⊫","Vdashl":"⫦","veebar":"⊻","vee":"∨","Vee":"⋁","veeeq":"≚","vellip":"⋮","verbar":"|","Verbar":"‖","vert":"|","Vert":"‖","VerticalBar":"∣","VerticalLine":"|","VerticalSeparator":"❘","VerticalTilde":"≀","VeryThinSpace":" ","Vfr":"𝔙","vfr":"𝔳","vltri":"⊲","vnsub":"⊂⃒","vnsup":"⊃⃒","Vopf":"𝕍","vopf":"𝕧","vprop":"∝","vrtri":"⊳","Vscr":"𝒱","vscr":"𝓋","vsubnE":"⫋︀","vsubne":"⊊︀","vsupnE":"⫌︀","vsupne":"⊋︀","Vvdash":"⊪","vzigzag":"⦚","Wcirc":"Ŵ","wcirc":"ŵ","wedbar":"⩟","wedge":"∧","Wedge":"⋀","wedgeq":"≙","weierp":"℘","Wfr":"𝔚","wfr":"𝔴","Wopf":"𝕎","wopf":"𝕨","wp":"℘","wr":"≀","wreath":"≀","Wscr":"𝒲","wscr":"𝓌","xcap":"⋂","xcirc":"◯","xcup":"⋃","xdtri":"▽","Xfr":"𝔛","xfr":"𝔵","xharr":"⟷","xhArr":"⟺","Xi":"Ξ","xi":"ξ","xlarr":"⟵","xlArr":"⟸","xmap":"⟼","xnis":"⋻","xodot":"⨀","Xopf":"𝕏","xopf":"𝕩","xoplus":"⨁","xotime":"⨂","xrarr":"⟶","xrArr":"⟹","Xscr":"𝒳","xscr":"𝓍","xsqcup":"⨆","xuplus":"⨄","xutri":"△","xvee":"⋁","xwedge":"⋀","Yacute":"Ý","yacute":"ý","YAcy":"Я","yacy":"я","Ycirc":"Ŷ","ycirc":"ŷ","Ycy":"Ы","ycy":"ы","yen":"¥","Yfr":"𝔜","yfr":"𝔶","YIcy":"Ї","yicy":"ї","Yopf":"𝕐","yopf":"𝕪","Yscr":"𝒴","yscr":"𝓎","YUcy":"Ю","yucy":"ю","yuml":"ÿ","Yuml":"Ÿ","Zacute":"Ź","zacute":"ź","Zcaron":"Ž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r=e.innerText;e.innerText=t,setTimeout(()=>e.innerText=r,2e3)}},generateSummaries(){let e="function"==typeof this.loadAdditionalData,t=[];for(let r in this.data){let s=this.data[r],i={identifier:r,summary:"",show:!0,loaded:!e,index:r,experimental:s.experimental,deprecated:s.deprecated,data:null};"string"==typeof this.identifierKey&&"string"==typeof s[this.identifierKey]&&(i.identifier=s[this.identifierKey]),"string"==typeof this.summaryKey&&"string"==typeof s[this.summaryKey]&&(i.summary=s[this.summaryKey]),"string"==typeof this.keywordsKey&&Array.isArray(s[this.keywordsKey])?i.keywords=s[this.keywordsKey]:i.keywords=[];let a=n.a.observable(i);a.data=s,t.push(a)}this.sort&&t.sort((e,t)=>s.a.compareStringCaseInsensitive(e.identifier,t.identifier)),this.summaries=t},toggleHeading(e=null){null!==this.collapsed&&(this.showList=null===e?!this.showList:e,this.$emit("headingToggled",this.showList),this.$parent&&this.$parent.$emit("headingToggled",this.showList))},async 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s=r(327),i=r.n(s),n=r(156),a="processes.json",o="1.1.0",l="Processes",c=!0,u=!0,p="Uncategorized",d=!0,h=!0,f="",m=r(423),g=r(426),y=r(425),v=r(174),b={name:"Processes",components:{Process:()=>n.a.loadAsyncComponent(Promise.resolve().then(r.bind(null,425))),SearchableList:()=>n.a.loadAsyncComponent(Promise.resolve().then(r.bind(null,427)))},mixins:[v.a],props:{processes:{type:Array,default:()=>[]},provideDownload:{type:Boolean,default:!0},processUrl:String,searchTerm:{type:String,default:null},sort:{type:Boolean,default:!0},offerDetails:{type:Boolean,default:!0},heading:{type:String,default:"Processes"},collapsed:{type:Boolean,default:null},showCategories:{type:Boolean,default:!1},showGraph:{type:Boolean,default:!1},loadAdditionalData:{type:Function,default:null},missing:{type:Array,default:null},...v.a.props},beforeCreate(){n.a.enableHtmlProps(this)},methods:{detailsToggled(...e){this.$emit("detailsToggled",...e)}}},_=(r(361),r(4)),w=Object(_.a)(b,(function(){var 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processes(){await this.$nextTick(),this.moveToAnchor()},searchTerm(){this.updateCategoryView()},showCategories(){this.updateCategoryView()}},computed:{isLocalDocument(){return"file:"===this.protocol&&!this.document.match(/^https?:/i)}},mounted(){document.title=this.title,this.loadLink("https://use.fontawesome.com/releases/v5.13.0/webfonts/fa-solid-900.woff2",{rel:"preload",crossorigin:!0,as:"font",type:"font/woff2"}),this.loadLink("https://use.fontawesome.com/releases/v5.13.0/css/all.css",{rel:"stylesheet",media:"all",type:"text/css"}),this.protocol=window?window.location.protocol:null,this.changeDocument(),this.canCopy=navigator&&navigator.clipboard&&"function"==typeof navigator.clipboard.writeText},methods:{copyLink(e){if(this.canCopy){let t=new URL(window.location.href);t.hash=e,navigator.clipboard.writeText(t.toString()).then(()=>{this.copied=e,setTimeout(()=>this.copied=null,2e3)}).catch(()=>canCopy=!1)}},loadLink(e,t={}){t.href=e;let r=document.createElement("link");for(let e in t)r.setAttribute(e,t[e]);document.head.appendChild(r)},loadLocalFile(e){const t=new FileReader;t.onload=()=>{try{this.setProcesses(JSON.parse(t.result))}catch(e){alert(e.message),console.error(e)}},t.readAsText(e.target.files[0])},changeDocument(){"string"==typeof this.document&&this.document.length>0?this.isLocalDocument||i.a.get(this.document).then(e=>this.setProcesses(e.data)).catch(e=>console.error(e)):"object"==typeof this.document&&null!==this.document?this.setProcesses(this.document):console.error("Specified document is not a URL, array or object.")},setProcesses(e){Array.isArray(e)&&(e={processes:e}),n.a.isObject(e)&&Array.isArray(e.processes)||console.error("Invalid document specified, can't find processes."),e=k.MigrateProcesses.convertProcessesToLatestSpec(e,this.apiVersion),this.processes=e.processes,this.links=Array.isArray(e.links)?e.links:[],!0===this.sortProcessesById&&this.processes.sort((e,t)=>n.a.compareStringCaseInsensitive(e.id,t.id)),this.categories=[];for(let e 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"),r("a",{attrs:{href:"https://github.com/Open-EO/openeo-result-validation-engine",target:"_blank",rel:"noopener noreferrer"}},[e._v("Image-based validation of EO processing results"),r("OutboundLink")],1),e._v(" is also worked on.")]),e._v(" "),r("li",[r("a",{attrs:{href:"https://hub.openeo.org",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO Hub"),r("OutboundLink")],1),e._v(" ("),r("a",{attrs:{href:"https://github.com/Open-EO/openeo-hub",target:"_blank",rel:"noopener noreferrer"}},[e._v("GitHub"),r("OutboundLink")],1),e._v(") - The central platform for openEO services.")]),e._v(" "),r("li",[r("a",{attrs:{href:"https://github.com/Open-EO/openeo-processes-docgen",target:"_blank",rel:"noopener noreferrer"}},[e._v("Processes DocGen"),r("OutboundLink")],1),e._v(" - A tool to generate a visual interface for openEO process definitions.")]),e._v(" "),r("li",[r("a",{attrs:{href:"https://github.com/Open-EO/openeo-vue-components",target:"_blank",rel:"noopener noreferrer"}},[e._v("Vue.js Components"),r("OutboundLink")],1),e._v(" - Common Vue.js 2 components for openEO")]),e._v(" "),r("li",[r("a",{attrs:{href:"https://github.com/Open-EO/openeo-js-commons",target:"_blank",rel:"noopener noreferrer"}},[e._v("JavaScript Commons"),r("OutboundLink")],1),e._v(" - Common JavaScript functionality for openEO clients and back-ends")])])])}),[],!1,null,null,null);r.default=o.exports}}]); \ No newline at end of file diff --git a/assets/js/15.2f316c32.js b/assets/js/15.ba0c2056.js similarity index 99% rename from assets/js/15.2f316c32.js rename to assets/js/15.ba0c2056.js index 63343a7b1..97ac8a474 100644 --- a/assets/js/15.2f316c32.js +++ b/assets/js/15.ba0c2056.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[15],{307:function(e,t,o){e.exports=o.p+"assets/img/qgis_button.2b5f39a5.png"},308:function(e,t,o){e.exports=o.p+"assets/img/login_dialog.424c4b4e.png"},309:function(e,t,o){e.exports=o.p+"assets/img/backend_info.a00e7a1d.png"},310:function(e,t,o){e.exports=o.p+"assets/img/jobs.fef9e692.png"},311:function(e,t,o){e.exports=o.p+"assets/img/adapt_job.64ea4b55.png"},312:function(e,t,o){e.exports=o.p+"assets/img/edit_spatial.23df03fa.png"},313:function(e,t,o){e.exports=o.p+"assets/img/edit_temporal.609c87e2.png"},314:function(e,t,o){e.exports=o.p+"assets/img/edit_bands.d9ed77a5.png"},315:function(e,t,o){e.exports=o.p+"assets/img/edit_subpg.c7fbfd4d.png"},316:function(e,t,o){e.exports=o.p+"assets/img/services.a958fd61.png"},317:function(e,t,o){e.exports=o.p+"assets/img/services_create.0881f2cd.png"},490:function(e,t,o){"use strict";o.r(t);var n=o(4),a=Object(n.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("h1",{attrs:{id:"qgis-plugin"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#qgis-plugin"}},[e._v("#")]),e._v(" QGIS Plugin")]),e._v(" "),t("p",[e._v("The openEO QGIS plugin enables exploring openEO backends as well as execute and modify your jobs at an backend\nwithin QGIS. The plugin can load the results of a job execution to the QGIS map, so that the user can make further\nanalyses and visualisation steps.")]),e._v(" "),t("h2",{attrs:{id:"installation"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#installation"}},[e._v("#")]),e._v(" Installation")]),e._v(" "),t("p",[e._v("There are two different versions of the QGIS Plugin available:")]),e._v(" "),t("ol",[t("li",[e._v("The "),t("strong",[e._v("latest stable version")]),e._v(' is accessible in the plugin\nmanager of QGIS (Plugins -> Manage and Install Plugins). Note that you have to activate the option to show experimental\nplugins (Settings -> Show also experimental plugins). After that, you can search for\n"OpenEO", install and activate the plugin.')]),e._v(" "),t("li",[e._v("The "),t("strong",[e._v("latest version")]),e._v(" is accessible at the\n"),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-qgis-plugin",target:"_blank",rel:"noopener noreferrer"}},[e._v("GitHub repository"),t("OutboundLink")],1),e._v('. First, download the repository as zip archive.\nNow, open the plugin manager of QGIS (Plugins -> Manage and Install Plugins) and select "Install from ZIP".\nThere you can browse for the downloaded zip archive, install and activate it.')])]),e._v(" "),t("p",[e._v("This tutorial shows the capabilities of version 0.9.2. Make sure you have installed at least that version by checking in\nthe plugin manager.")]),e._v(" "),t("p",[e._v("After successfully installing and activating the plugin, the openEO logo should be part of the toolbar:")]),e._v(" "),t("p",[t("img",{attrs:{src:o(307),alt:"QGIS Plugin Icon"}})]),e._v(" "),t("p",[e._v("Simply click on the icon to start the plugin.")]),e._v(" "),t("h2",{attrs:{id:"connecting"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#connecting"}},[e._v("#")]),e._v(" Connecting")]),e._v(" "),t("p",[e._v("The first window you see when starting the plugin is a login dialog, since you can only access your jobs at the backend\nif you are authenticated. The backend dropdown menu contains the available openEO backends from\nthe "),t("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO Hub"),t("OutboundLink")],1),e._v('. By default, the plugin chooses the latest compatible version from the\nselected provider. If you want to connect to a specific version of a backend, you need to uncheck\nthe checkbox labeled "Only Latest versions". You can also manually type a backend url into the selection\nfield, in case it is not registered at our hub yet.')]),e._v(" "),t("p",[t("img",{attrs:{src:o(308),alt:"QGIS Login Dialog"}})]),e._v(" "),t("p",[e._v("Now that you have chosen a backend, you can log in with your username and password provided by the backend.\nNote that the QGIS plugin only supports Basic authentication and not "),t("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenID Connect"),t("OutboundLink")],1),e._v(" yet.\nBackends that do not support this authentication can not be accessed via this plugin at the moment.")]),e._v(" "),t("p",[e._v("If logged in successfully, the main window of the plugin appears with three tabs ("),t("strong",[e._v("Backend Info")]),e._v(", "),t("strong",[e._v("Jobs")]),e._v(", "),t("strong",[e._v("Services")]),e._v(").\nThe following sections will go through the capabilities of these tabs.")]),e._v(" "),t("h2",{attrs:{id:"exploring-a-backend"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#exploring-a-backend"}},[e._v("#")]),e._v(" Exploring a backend")]),e._v(" "),t("p",[e._v("The first tab shows information about the backend and the available collections and processes.\nOn the top, there is a basic description about the backend you are connected to.\nNext, you can choose a collection in the drop down menu to see a description of that dataset.")]),e._v(" "),t("p",[t("img",{attrs:{src:o(309),alt:"QGIS Backend Info"}})]),e._v(" "),t("p",[e._v("On the bottom, you can use the drop down menu to choose one of the available processes from the backend.\nAfter selection, the parameters of the process are listed in the table below. The first column contains the\nparameter name, which is required if bold and otherwise optional.\nThe second column shows the type of the parameter (e.g. number) and the third column a short description.\nTo learn more about the process, you can click on the info button next to the drop down menu\n(marked red in the figure above). The return type of the process is written next to the info box. If you want to get an\noverview of all processes of openEO you might visit the "),t("RouterLink",{attrs:{to:"/documentation/1.0/processes.html"}},[e._v("official processes page")]),e._v(", but note that not all backends\nwill implement all processes listed there, whereas only available processes of the backend are in the QGIS plugin.")],1),e._v(" "),t("h2",{attrs:{id:"job-management"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#job-management"}},[e._v("#")]),e._v(" Job Management")]),e._v(" "),t("p",[e._v('The "Jobs" tab lists all of your '),t("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#data-processing-modes"}},[e._v("jobs")]),e._v("\nat the backend. In openEO a job describes what the backend needs to process\n(e.g. by defining a "),t("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[e._v("process graph")]),e._v(") as well as\nadditional meta-information (e.g. title, creation date). The first two columns show the title and the creation date of\nthe job. The other elements of the table are numbered in the screenshot and described in the following.")],1),e._v(" "),t("p",[t("img",{attrs:{src:o(310),alt:"QGIS Jobs"}})]),e._v(" "),t("ol",[t("li",[t("strong",[e._v("Status")]),e._v(' - Shows the current lifecycle state of the job. The first status of a job is "created",\nif it got created at the backend, but not executed yet. After the job gets executed it will be\n"queued" if the backend plans to executes it, but has not started yet. If the execution started but hasn\'t finished yet,\nit has the status of "running". Last but not least it will have either "canceled", if it was stopped during execution,\n"finished" if the execution was successfully or "error", if an error occurred during execution.')]),e._v(" "),t("li",[t("strong",[e._v("Execute")]),e._v(' - By clicking on the "Play" button, the plugin will start the execution of the job at the backend.\nAlready finished jobs are executed again. The icon of the button will change if the job is in the "running" state,\nso that it looks like a "Stop" button, which will cancel the job execution.')]),e._v(" "),t("li",[t("strong",[e._v("Display")]),e._v(' - By clicking on the "Eye" button, the plugin downloads the resulting image(s) of the job from the backend\nand creates a new layer in QGIS named after the title and the creation date of the image. Note that if the result\nis not geo referenced, you might get a dialog from QGIS to choose a coordinate reference system, therefore it is\nrecommended to choose GeoTiff as job output format if available at the backend.')]),e._v(" "),t("li",[t("strong",[e._v("Save")]),e._v(' - By clicking on the "Download" button, you can navigate to the folder where you want to store the\nresulting image(s) of the job and the plugin will download it there.')]),e._v(" "),t("li",[t("strong",[e._v("Adapt")]),e._v(' - By clicking on the "Pencil" button a new dialog appears, where you can adapt the job title and\ndescription as well as the processes and extent of the job. How this works in detail is described in the following sections.')]),e._v(" "),t("li",[t("strong",[e._v("Information")]),e._v(' - By clicking on the "Info" button a window with additional information about the job appears.\nIt contains information like a description, a cost plan etc., of course only if this information is provided by the\nbackend. If the backend provides a logging output, it is also part of this info window.')]),e._v(" "),t("li",[t("strong",[e._v("Delete")]),e._v(' - By clicking on the "Trash" button the job gets deleted from the backend, after being asked if you are\nreally sure about it.')]),e._v(" "),t("li",[t("strong",[e._v("Load Job from openEO Hub")]),e._v(" - At the moment it is recommended to not use this feature, since the exchange of\nprocess graphs in the OpenEO Hub is under development.")]),e._v(" "),t("li",[t("strong",[e._v("Create new Job in Web Editor")]),e._v(" - This button opens the "),t("a",{attrs:{href:"https://editor.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO web editor"),t("OutboundLink")],1),e._v(" in your\nsystem browser, so that you can create a new job using it. This is the recommended way for creating a new job, since it has\na graphical and therefore more convenient way of doing so.")]),e._v(" "),t("li",[t("strong",[e._v("Create new Job")]),e._v(" - You can create a job from scratch using this button.\nMore information in the next sections.")]),e._v(" "),t("li",[t("strong",[e._v("Refresh Table")]),e._v(" - This button refreshes the list of jobs manually, in general the list will refresh every few\nseconds. If you do not want to automatically refresh the list (it might cause some lags if the connection to the\nbackend is low) you can do so by deactivating the checkbox next to the refresh button.")]),e._v(" "),t("li",[t("strong",[e._v("User Manual")]),e._v(" - This button opens your browser with this introduction page.")])]),e._v(" "),t("h3",{attrs:{id:"creating-new-jobs"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#creating-new-jobs"}},[e._v("#")]),e._v(" Creating new Jobs")]),e._v(" "),t("p",[e._v("There are three approaches to create a new job using this plugin, depending on whether you want to start from scratch or just\nchange existing jobs:")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("From scratch with web editor")]),e._v(" - As described in the job table overview above, there is a button (no. 9) that opens\nyour web browser with the "),t("a",{attrs:{href:"https://editor.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO web editor"),t("OutboundLink")],1),e._v(". It is the recommended way to create a new job\nfrom scratch, since it has a very convenient graphical user interface. It also shows the process graph in a neat graph\nbased manner for a better understanding of how processes are connected.")]),e._v(" "),t("li",[t("strong",[e._v("From scratch with QGIS")]),e._v(' - If you want to use the QGIS plugin, you can create a new job using the\nbutton (no. 10) of the job overview dialog. It opens the job adaption window (more details in the section below).\nIn the beginning the job has already a "load_collection" process as a starting point.')]),e._v(" "),t("li",[t("strong",[e._v("From existing Job")]),e._v(" - You can create a new job by adapting\none of your existing jobs at the backend. You can e.g. create a new job with a different spatial extent, or\nadding a few processes to the original one. To do so, you need to click on the edit button in the job overview window (no. 5)")])]),e._v(" "),t("h3",{attrs:{id:"adapting-existing-jobs"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#adapting-existing-jobs"}},[e._v("#")]),e._v(" Adapting existing Jobs")]),e._v(" "),t("p",[e._v("In this section you'll get an overview of the job adaption workflow using the job adaption window.\nHow you get there was described in the previous section.")]),e._v(" "),t("p",[t("img",{attrs:{src:o(311),alt:"QGIS Adapting Job"}})]),e._v(" "),t("ol",[t("li",[t("strong",[e._v("Job Title")]),e._v(" - Here you can write the title of the job. It is recommended to choose it in a way that\nmakes you identify the job in a list more easily.")]),e._v(" "),t("li",[t("strong",[e._v("Job Description")]),e._v(" - You can describe the job in more detail in this field (e.g. what is calculated and how).")]),e._v(" "),t("li",[t("strong",[e._v("Process Graph Table")]),e._v(" - In the process graph table you can see a list of all processes used by the job.\nThe first column contains the identifier of the process node, so a unique identifier of the process throughout the\nwhole process graph (e.g. loadcollection1). Most openEO clients generate these identifiers automatically. We define a\nprocess node (or just node) as one element of the process graph, so a single executed process."),t("br"),e._v('\nIn the second column you can see the name/identifier of the process (e.g. load_collection), which needs to be one of the\nprocesses that the backend provides. The third column shows the node identifier of the predecessor node.\nFor example, "loadcollection1" in the second row means that the output of the node with id "loadcollection1" is the input\nof the node with id "reducedimension1". In other words the process of the second row uses the output of the process of\nthe first row and is therefore executed after the first process.')]),e._v(" "),t("li",[t("strong",[e._v("Process Edit")]),e._v(' - When pressing on the "pencil" button, the process of the same row is loaded into the process\ntable on the right (see no. 6). On this table you can adapt the arguments of the chosen process and therefore configure\nits behaviour.')]),e._v(" "),t("li",[t("strong",[e._v("Delete Process")]),e._v(' - Clicking on the "trash" button deletes the selected process from the process graph.\nNote that other processes, which have this process as predecessor might fail after the deletion.')]),e._v(" "),t("li",[t("strong",[e._v("Undo Changes")]),e._v(" - Press this button if you want to undo all your changes on the job.")]),e._v(" "),t("li",[t("strong",[e._v("Raw Graph")]),e._v(' - Press this button to see the raw process graph (JSON format) in a pop up window. Changes to the\nprocess graph are also applied if you click "Apply". Therefore, you can also copy and paste here a complete process graph'),t("br"),e._v("\ninto the QGIS plugin.")]),e._v(" "),t("li",[t("strong",[e._v("Add Process")]),e._v(' - If you want to add a new process to the process graph you can select one at the drop down menu\n(see "Select a process") and press the button labeled "Add Process". The text field on the right will be the new node id\nand it is autogenerated after selecting a process, but can also be manually defined by typing it into the text field. Note\nthat it has to be unique within the job, otherwise the plugin shows an error message.\nOnce added, the id can not be modified.')]),e._v(" "),t("li",[t("strong",[e._v("Process Table")]),e._v(" - In this table you see all arguments of the currently selected process, the expected type and\nthe current value. If the name of the argument is bold, it is a required argument, hence it must be set.\nYou can edit the values of the arguments directly in the text field of the value column. For some arguments the plugin\nprovides helper function in the fourth column of the process table (e.g. drop down menu of all available collections in\nthe first row)")]),e._v(" "),t("li",[t("strong",[e._v("Process Argument Helper")]),e._v(" - For some arguments of a process, the QGIS Plugin provides helper functions to make the\nadaption of the arguments easier. This is the case, if the field of the fourth column in the process table is\nnot empty.")]),e._v(" "),t("li",[t("strong",[e._v("Result Process")]),e._v(' - This checkbox needs to be checked on the last process of the process graph. It tells the\nbackend that the result of the checked process is the output of the job (usually a "save_result" process). Note that\nonly one process of the process graph can be a result node. If you create a sub process graph in the process graph\n(e.g. when using apply or reduce), it also needs to have exactly one resulting process.')]),e._v(" "),t("li",[t("strong",[e._v("Clone Process")]),e._v(' - When clicking on this button, a clone of the currently selected node gets created and loaded\ninto the process table on the right. Note that clicking on this button does not add it to the job already, so you need to\npress on the "Add Process" button to do so.')]),e._v(" "),t("li",[t("strong",[e._v("Save Process")]),e._v(" - Changes on the process arguments are not stored in the process graph until this button is pressed.\nYou can see if there are unsaved changes if this button is enabled, otherwise it is disabled (see screenshot).")]),e._v(" "),t("li",[t("strong",[e._v("Manage Job")]),e._v(' - In this section of the adaption dialog, there are three options to handle changes on the job.\nFirst, by pressing on "Adapt Job" the selected job will be adapted to the changes you did and no new job will be created.\nSecond, by pressing on "Create New Job" a new job will be created at the backend, so if you have selected a job before\nfor the adaption, it will stay unchanged and your changes will just be applied to the newly created job.\nThird, the "Cancel" button closes the job adaption dialog with your changes having no effect. The same behaviour applies\nby closing the dialog.')])]),e._v(" "),t("h4",{attrs:{id:"process-argument-helper"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#process-argument-helper"}},[e._v("#")]),e._v(" Process Argument Helper")]),e._v(" "),t("p",[e._v("For some process arguments the QGIS plugin provides helper functions for a more convenient editing.\nThis section provides a list of the available helper functions and how to use them:")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Collection Id")]),e._v(' - Whenever an argument expects a collection id (e.g. "load_collection" process), the plugin shows a\ndrop down menu with all available collections of the backend. There you can select one and it will be put into the\narguments value.')]),e._v(" "),t("li",[t("strong",[e._v("Spatial Extent")]),e._v(" - Edit buttons of arguments which expect a spatial extent (e.g. geojson, bounding-box) open a\nspatial extent dialog:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(312),alt:"QGIS Edit spatial extent"}})]),e._v(" "),t("p",[e._v('On the bottom you can edit the spatial extent manually in the text box. In the drop down menu on the top you can choose\nhow to select the spatial extent. You can get the extent of the current layer, the extent of a shape file, the extent of\nthe current QGIS map canvas, by drawing a rectangle on the QGIS map canvas or by drawing a polygon on the QGIS map\ncanvas. The drawings start after clicking on the "Draw Extent" button, so that your curser becomes a cross to draw on\nthe map. After pressing the "OK" button, the extent string in the text field is set to the process argument and the\nwindow closes.')]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Temporal Extent")]),e._v(" - If an argument expects a start and end date, the edit button opens a calendar dialog:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(313),alt:"QGIS Edit temporal extent"}})]),e._v(" "),t("p",[e._v("The left calendar sets the start date and the right calendar the end date.")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Band selection")]),e._v(" - If an argument expects a selection of bands, the edit button opens the following dialog to choose\nfrom the bands available at the selected collection. Note that it always lists all bands of the collection even if some\nbands are filtered by previous processes and therefore not available in the datacube anymore.")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(314),alt:"QGIS Edit band selection"}})]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Process Graph Node")]),e._v(' - If an argument expects a raster data cube, a drop down menu will appear on the edit column.\nThere you can choose from existing process graph nodes (e.g. "loadcollection1") It uses the output of the given node\nidentifier as input of the process argument.')]),e._v(" "),t("li",[t("strong",[e._v("Sub Process Graph")]),e._v(" - Some processes need a whole (sub-)process graph as input value (e.g. apply or reduce\nprocesses). When clicking on the edit button, the plugin opens a new adaption window, which looks similar to the job\nadaption window, but shows the sub process graph:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(315),alt:"QGIS Edit sub process graph"}})]),e._v(" "),t("p",[e._v('In this window you can adapt the sub process graph in the same way as the original process graph. After pressing on\n"Adapt", the changes are written to the original job. Process arguments, which do not have special editing fields,\nhave a "Proc-Param" button. If pressed it will forward the input data of the parent node\n(so the one with the subgraph as attribute) to the selected argument (see screenshot "data" argument). Note that the\nsub process graph also needs to have at least one result node.')]),e._v(" "),t("h2",{attrs:{id:"service-management"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#service-management"}},[e._v("#")]),e._v(" Service Management")]),e._v(" "),t("p",[e._v('The "Services" tab lists all of your '),t("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#data-processing-modes"}},[e._v("secondary web services")]),e._v("\nat the backend. In openEO a secondary service has a process graph like a job, but depending on the service type it is\npossible for the user to change the viewing extent dynamically. The first two columns shows the title, the description\nand the date and time it got created at the backend.\nThe other elements of this window are numbered at the screenshot below and described in the following.")],1),e._v(" "),t("p",[t("img",{attrs:{src:o(316),alt:"QGIS Services"}})]),e._v(" "),t("ol",[t("li",[t("strong",[e._v("Display")]),e._v(' - When clicking on the "Eye", the secondary service gets loaded into a new QGIS layer, named after the\nservice. QGIS now fetches the result of the processing into the current extent of the QGIS map canvas. Note that it will\nload the whole screen at once, so it might take a while.')]),e._v(" "),t("li",[t("strong",[e._v("Information")]),e._v(" - Clicking on the Infobox, shows detailed information about the service.")]),e._v(" "),t("li",[t("strong",[e._v("Delete")]),e._v(" - Clicking on the delete button removes the service from the backend.")]),e._v(" "),t("li",[t("strong",[e._v("Create from job")]),e._v(' - By clicking on this button you can create a new service from one of your jobs. It will create a\nservice with the same process graph as the selected job, but the extent will be dynamically loaded via the service. By\nclicking on the button a new dialog pops up. On the creation dialog you can set a title and a description text, but note\nthat they are optional. Nevertheless, you have to select a job and choose a type of secondary service. The drop down\nmenu of the service types contains only the ones supported by your backend. By clicking on "Create Service" the\nplugin creates the service on the backend, so you should be able to see it on the table. Note that the list of jobs\ncontains only successfully executed jobs (e.g. with "finished" status). By clicking on "Raw Graph"\n'),t("img",{attrs:{src:o(317),alt:"QGIS Create Services from job"}})]),e._v(" "),t("li",[t("strong",[e._v("Create from web editor")]),e._v(" - Similarly to the job table overview, this button opens your web browser with\nthe "),t("a",{attrs:{href:"https://editor.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO web editor"),t("OutboundLink")],1),e._v(". There you can create new services via the editor or from your jobs.")]),e._v(" "),t("li",[t("strong",[e._v("Refresh Table")]),e._v(" - Similar to the jobs table, this button refreshes the list of services manually, in general the list will refresh every few\nseconds. If you do not want to automatically refresh the list (it might cause some lags if the connection to the\nbackend is low) you can do so by deactivating the checkbox next to the refresh button.")]),e._v(" "),t("li",[t("strong",[e._v("Create from web editor")]),e._v(" - This button opens your browser with this introduction page.")])]),e._v(" "),t("h2",{attrs:{id:"additional-information"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#additional-information"}},[e._v("#")]),e._v(" Additional Information")]),e._v(" "),t("ul",[t("li",[t("a",{attrs:{href:"https://github.com/Open-EO/openeo-qgis-plugin",target:"_blank",rel:"noopener noreferrer"}},[e._v("Github Repository"),t("OutboundLink")],1)]),e._v(" "),t("li",[t("a",{attrs:{href:"https://plugins.qgis.org/plugins/openeo-qgis-plugin-master/",target:"_blank",rel:"noopener noreferrer"}},[e._v("QGIS Plugin Page"),t("OutboundLink")],1)])])])}),[],!1,null,null,null);t.default=a.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[15],{307:function(e,t,o){e.exports=o.p+"assets/img/qgis_button.2b5f39a5.png"},308:function(e,t,o){e.exports=o.p+"assets/img/login_dialog.424c4b4e.png"},309:function(e,t,o){e.exports=o.p+"assets/img/backend_info.a00e7a1d.png"},310:function(e,t,o){e.exports=o.p+"assets/img/jobs.fef9e692.png"},311:function(e,t,o){e.exports=o.p+"assets/img/adapt_job.64ea4b55.png"},312:function(e,t,o){e.exports=o.p+"assets/img/edit_spatial.23df03fa.png"},313:function(e,t,o){e.exports=o.p+"assets/img/edit_temporal.609c87e2.png"},314:function(e,t,o){e.exports=o.p+"assets/img/edit_bands.d9ed77a5.png"},315:function(e,t,o){e.exports=o.p+"assets/img/edit_subpg.c7fbfd4d.png"},316:function(e,t,o){e.exports=o.p+"assets/img/services.a958fd61.png"},317:function(e,t,o){e.exports=o.p+"assets/img/services_create.0881f2cd.png"},491:function(e,t,o){"use strict";o.r(t);var n=o(4),a=Object(n.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("h1",{attrs:{id:"qgis-plugin"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#qgis-plugin"}},[e._v("#")]),e._v(" QGIS Plugin")]),e._v(" "),t("p",[e._v("The openEO QGIS plugin enables exploring openEO backends as well as execute and modify your jobs at an backend\nwithin QGIS. The plugin can load the results of a job execution to the QGIS map, so that the user can make further\nanalyses and visualisation steps.")]),e._v(" "),t("h2",{attrs:{id:"installation"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#installation"}},[e._v("#")]),e._v(" Installation")]),e._v(" "),t("p",[e._v("There are two different versions of the QGIS Plugin available:")]),e._v(" "),t("ol",[t("li",[e._v("The "),t("strong",[e._v("latest stable version")]),e._v(' is accessible in the plugin\nmanager of QGIS (Plugins -> Manage and Install Plugins). Note that you have to activate the option to show experimental\nplugins (Settings -> Show also experimental plugins). After that, you can search for\n"OpenEO", install and activate the plugin.')]),e._v(" "),t("li",[e._v("The "),t("strong",[e._v("latest version")]),e._v(" is accessible at the\n"),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-qgis-plugin",target:"_blank",rel:"noopener noreferrer"}},[e._v("GitHub repository"),t("OutboundLink")],1),e._v('. First, download the repository as zip archive.\nNow, open the plugin manager of QGIS (Plugins -> Manage and Install Plugins) and select "Install from ZIP".\nThere you can browse for the downloaded zip archive, install and activate it.')])]),e._v(" "),t("p",[e._v("This tutorial shows the capabilities of version 0.9.2. Make sure you have installed at least that version by checking in\nthe plugin manager.")]),e._v(" "),t("p",[e._v("After successfully installing and activating the plugin, the openEO logo should be part of the toolbar:")]),e._v(" "),t("p",[t("img",{attrs:{src:o(307),alt:"QGIS Plugin Icon"}})]),e._v(" "),t("p",[e._v("Simply click on the icon to start the plugin.")]),e._v(" "),t("h2",{attrs:{id:"connecting"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#connecting"}},[e._v("#")]),e._v(" Connecting")]),e._v(" "),t("p",[e._v("The first window you see when starting the plugin is a login dialog, since you can only access your jobs at the backend\nif you are authenticated. The backend dropdown menu contains the available openEO backends from\nthe "),t("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO Hub"),t("OutboundLink")],1),e._v('. By default, the plugin chooses the latest compatible version from the\nselected provider. If you want to connect to a specific version of a backend, you need to uncheck\nthe checkbox labeled "Only Latest versions". You can also manually type a backend url into the selection\nfield, in case it is not registered at our hub yet.')]),e._v(" "),t("p",[t("img",{attrs:{src:o(308),alt:"QGIS Login Dialog"}})]),e._v(" "),t("p",[e._v("Now that you have chosen a backend, you can log in with your username and password provided by the backend.\nNote that the QGIS plugin only supports Basic authentication and not "),t("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenID Connect"),t("OutboundLink")],1),e._v(" yet.\nBackends that do not support this authentication can not be accessed via this plugin at the moment.")]),e._v(" "),t("p",[e._v("If logged in successfully, the main window of the plugin appears with three tabs ("),t("strong",[e._v("Backend Info")]),e._v(", "),t("strong",[e._v("Jobs")]),e._v(", "),t("strong",[e._v("Services")]),e._v(").\nThe following sections will go through the capabilities of these tabs.")]),e._v(" "),t("h2",{attrs:{id:"exploring-a-backend"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#exploring-a-backend"}},[e._v("#")]),e._v(" Exploring a backend")]),e._v(" "),t("p",[e._v("The first tab shows information about the backend and the available collections and processes.\nOn the top, there is a basic description about the backend you are connected to.\nNext, you can choose a collection in the drop down menu to see a description of that dataset.")]),e._v(" "),t("p",[t("img",{attrs:{src:o(309),alt:"QGIS Backend Info"}})]),e._v(" "),t("p",[e._v("On the bottom, you can use the drop down menu to choose one of the available processes from the backend.\nAfter selection, the parameters of the process are listed in the table below. The first column contains the\nparameter name, which is required if bold and otherwise optional.\nThe second column shows the type of the parameter (e.g. number) and the third column a short description.\nTo learn more about the process, you can click on the info button next to the drop down menu\n(marked red in the figure above). The return type of the process is written next to the info box. If you want to get an\noverview of all processes of openEO you might visit the "),t("RouterLink",{attrs:{to:"/documentation/1.0/processes.html"}},[e._v("official processes page")]),e._v(", but note that not all backends\nwill implement all processes listed there, whereas only available processes of the backend are in the QGIS plugin.")],1),e._v(" "),t("h2",{attrs:{id:"job-management"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#job-management"}},[e._v("#")]),e._v(" Job Management")]),e._v(" "),t("p",[e._v('The "Jobs" tab lists all of your '),t("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#data-processing-modes"}},[e._v("jobs")]),e._v("\nat the backend. In openEO a job describes what the backend needs to process\n(e.g. by defining a "),t("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[e._v("process graph")]),e._v(") as well as\nadditional meta-information (e.g. title, creation date). The first two columns show the title and the creation date of\nthe job. The other elements of the table are numbered in the screenshot and described in the following.")],1),e._v(" "),t("p",[t("img",{attrs:{src:o(310),alt:"QGIS Jobs"}})]),e._v(" "),t("ol",[t("li",[t("strong",[e._v("Status")]),e._v(' - Shows the current lifecycle state of the job. The first status of a job is "created",\nif it got created at the backend, but not executed yet. After the job gets executed it will be\n"queued" if the backend plans to executes it, but has not started yet. If the execution started but hasn\'t finished yet,\nit has the status of "running". Last but not least it will have either "canceled", if it was stopped during execution,\n"finished" if the execution was successfully or "error", if an error occurred during execution.')]),e._v(" "),t("li",[t("strong",[e._v("Execute")]),e._v(' - By clicking on the "Play" button, the plugin will start the execution of the job at the backend.\nAlready finished jobs are executed again. The icon of the button will change if the job is in the "running" state,\nso that it looks like a "Stop" button, which will cancel the job execution.')]),e._v(" "),t("li",[t("strong",[e._v("Display")]),e._v(' - By clicking on the "Eye" button, the plugin downloads the resulting image(s) of the job from the backend\nand creates a new layer in QGIS named after the title and the creation date of the image. Note that if the result\nis not geo referenced, you might get a dialog from QGIS to choose a coordinate reference system, therefore it is\nrecommended to choose GeoTiff as job output format if available at the backend.')]),e._v(" "),t("li",[t("strong",[e._v("Save")]),e._v(' - By clicking on the "Download" button, you can navigate to the folder where you want to store the\nresulting image(s) of the job and the plugin will download it there.')]),e._v(" "),t("li",[t("strong",[e._v("Adapt")]),e._v(' - By clicking on the "Pencil" button a new dialog appears, where you can adapt the job title and\ndescription as well as the processes and extent of the job. How this works in detail is described in the following sections.')]),e._v(" "),t("li",[t("strong",[e._v("Information")]),e._v(' - By clicking on the "Info" button a window with additional information about the job appears.\nIt contains information like a description, a cost plan etc., of course only if this information is provided by the\nbackend. If the backend provides a logging output, it is also part of this info window.')]),e._v(" "),t("li",[t("strong",[e._v("Delete")]),e._v(' - By clicking on the "Trash" button the job gets deleted from the backend, after being asked if you are\nreally sure about it.')]),e._v(" "),t("li",[t("strong",[e._v("Load Job from openEO Hub")]),e._v(" - At the moment it is recommended to not use this feature, since the exchange of\nprocess graphs in the OpenEO Hub is under development.")]),e._v(" "),t("li",[t("strong",[e._v("Create new Job in Web Editor")]),e._v(" - This button opens the "),t("a",{attrs:{href:"https://editor.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO web editor"),t("OutboundLink")],1),e._v(" in your\nsystem browser, so that you can create a new job using it. This is the recommended way for creating a new job, since it has\na graphical and therefore more convenient way of doing so.")]),e._v(" "),t("li",[t("strong",[e._v("Create new Job")]),e._v(" - You can create a job from scratch using this button.\nMore information in the next sections.")]),e._v(" "),t("li",[t("strong",[e._v("Refresh Table")]),e._v(" - This button refreshes the list of jobs manually, in general the list will refresh every few\nseconds. If you do not want to automatically refresh the list (it might cause some lags if the connection to the\nbackend is low) you can do so by deactivating the checkbox next to the refresh button.")]),e._v(" "),t("li",[t("strong",[e._v("User Manual")]),e._v(" - This button opens your browser with this introduction page.")])]),e._v(" "),t("h3",{attrs:{id:"creating-new-jobs"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#creating-new-jobs"}},[e._v("#")]),e._v(" Creating new Jobs")]),e._v(" "),t("p",[e._v("There are three approaches to create a new job using this plugin, depending on whether you want to start from scratch or just\nchange existing jobs:")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("From scratch with web editor")]),e._v(" - As described in the job table overview above, there is a button (no. 9) that opens\nyour web browser with the "),t("a",{attrs:{href:"https://editor.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("openEO web editor"),t("OutboundLink")],1),e._v(". It is the recommended way to create a new job\nfrom scratch, since it has a very convenient graphical user interface. It also shows the process graph in a neat graph\nbased manner for a better understanding of how processes are connected.")]),e._v(" "),t("li",[t("strong",[e._v("From scratch with QGIS")]),e._v(' - If you want to use the QGIS plugin, you can create a new job using the\nbutton (no. 10) of the job overview dialog. It opens the job adaption window (more details in the section below).\nIn the beginning the job has already a "load_collection" process as a starting point.')]),e._v(" "),t("li",[t("strong",[e._v("From existing Job")]),e._v(" - You can create a new job by adapting\none of your existing jobs at the backend. You can e.g. create a new job with a different spatial extent, or\nadding a few processes to the original one. To do so, you need to click on the edit button in the job overview window (no. 5)")])]),e._v(" "),t("h3",{attrs:{id:"adapting-existing-jobs"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#adapting-existing-jobs"}},[e._v("#")]),e._v(" Adapting existing Jobs")]),e._v(" "),t("p",[e._v("In this section you'll get an overview of the job adaption workflow using the job adaption window.\nHow you get there was described in the previous section.")]),e._v(" "),t("p",[t("img",{attrs:{src:o(311),alt:"QGIS Adapting Job"}})]),e._v(" "),t("ol",[t("li",[t("strong",[e._v("Job Title")]),e._v(" - Here you can write the title of the job. It is recommended to choose it in a way that\nmakes you identify the job in a list more easily.")]),e._v(" "),t("li",[t("strong",[e._v("Job Description")]),e._v(" - You can describe the job in more detail in this field (e.g. what is calculated and how).")]),e._v(" "),t("li",[t("strong",[e._v("Process Graph Table")]),e._v(" - In the process graph table you can see a list of all processes used by the job.\nThe first column contains the identifier of the process node, so a unique identifier of the process throughout the\nwhole process graph (e.g. loadcollection1). Most openEO clients generate these identifiers automatically. We define a\nprocess node (or just node) as one element of the process graph, so a single executed process."),t("br"),e._v('\nIn the second column you can see the name/identifier of the process (e.g. load_collection), which needs to be one of the\nprocesses that the backend provides. The third column shows the node identifier of the predecessor node.\nFor example, "loadcollection1" in the second row means that the output of the node with id "loadcollection1" is the input\nof the node with id "reducedimension1". In other words the process of the second row uses the output of the process of\nthe first row and is therefore executed after the first process.')]),e._v(" "),t("li",[t("strong",[e._v("Process Edit")]),e._v(' - When pressing on the "pencil" button, the process of the same row is loaded into the process\ntable on the right (see no. 6). On this table you can adapt the arguments of the chosen process and therefore configure\nits behaviour.')]),e._v(" "),t("li",[t("strong",[e._v("Delete Process")]),e._v(' - Clicking on the "trash" button deletes the selected process from the process graph.\nNote that other processes, which have this process as predecessor might fail after the deletion.')]),e._v(" "),t("li",[t("strong",[e._v("Undo Changes")]),e._v(" - Press this button if you want to undo all your changes on the job.")]),e._v(" "),t("li",[t("strong",[e._v("Raw Graph")]),e._v(' - Press this button to see the raw process graph (JSON format) in a pop up window. Changes to the\nprocess graph are also applied if you click "Apply". Therefore, you can also copy and paste here a complete process graph'),t("br"),e._v("\ninto the QGIS plugin.")]),e._v(" "),t("li",[t("strong",[e._v("Add Process")]),e._v(' - If you want to add a new process to the process graph you can select one at the drop down menu\n(see "Select a process") and press the button labeled "Add Process". The text field on the right will be the new node id\nand it is autogenerated after selecting a process, but can also be manually defined by typing it into the text field. Note\nthat it has to be unique within the job, otherwise the plugin shows an error message.\nOnce added, the id can not be modified.')]),e._v(" "),t("li",[t("strong",[e._v("Process Table")]),e._v(" - In this table you see all arguments of the currently selected process, the expected type and\nthe current value. If the name of the argument is bold, it is a required argument, hence it must be set.\nYou can edit the values of the arguments directly in the text field of the value column. For some arguments the plugin\nprovides helper function in the fourth column of the process table (e.g. drop down menu of all available collections in\nthe first row)")]),e._v(" "),t("li",[t("strong",[e._v("Process Argument Helper")]),e._v(" - For some arguments of a process, the QGIS Plugin provides helper functions to make the\nadaption of the arguments easier. This is the case, if the field of the fourth column in the process table is\nnot empty.")]),e._v(" "),t("li",[t("strong",[e._v("Result Process")]),e._v(' - This checkbox needs to be checked on the last process of the process graph. It tells the\nbackend that the result of the checked process is the output of the job (usually a "save_result" process). Note that\nonly one process of the process graph can be a result node. If you create a sub process graph in the process graph\n(e.g. when using apply or reduce), it also needs to have exactly one resulting process.')]),e._v(" "),t("li",[t("strong",[e._v("Clone Process")]),e._v(' - When clicking on this button, a clone of the currently selected node gets created and loaded\ninto the process table on the right. Note that clicking on this button does not add it to the job already, so you need to\npress on the "Add Process" button to do so.')]),e._v(" "),t("li",[t("strong",[e._v("Save Process")]),e._v(" - Changes on the process arguments are not stored in the process graph until this button is pressed.\nYou can see if there are unsaved changes if this button is enabled, otherwise it is disabled (see screenshot).")]),e._v(" "),t("li",[t("strong",[e._v("Manage Job")]),e._v(' - In this section of the adaption dialog, there are three options to handle changes on the job.\nFirst, by pressing on "Adapt Job" the selected job will be adapted to the changes you did and no new job will be created.\nSecond, by pressing on "Create New Job" a new job will be created at the backend, so if you have selected a job before\nfor the adaption, it will stay unchanged and your changes will just be applied to the newly created job.\nThird, the "Cancel" button closes the job adaption dialog with your changes having no effect. The same behaviour applies\nby closing the dialog.')])]),e._v(" "),t("h4",{attrs:{id:"process-argument-helper"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#process-argument-helper"}},[e._v("#")]),e._v(" Process Argument Helper")]),e._v(" "),t("p",[e._v("For some process arguments the QGIS plugin provides helper functions for a more convenient editing.\nThis section provides a list of the available helper functions and how to use them:")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Collection Id")]),e._v(' - Whenever an argument expects a collection id (e.g. "load_collection" process), the plugin shows a\ndrop down menu with all available collections of the backend. There you can select one and it will be put into the\narguments value.')]),e._v(" "),t("li",[t("strong",[e._v("Spatial Extent")]),e._v(" - Edit buttons of arguments which expect a spatial extent (e.g. geojson, bounding-box) open a\nspatial extent dialog:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(312),alt:"QGIS Edit spatial extent"}})]),e._v(" "),t("p",[e._v('On the bottom you can edit the spatial extent manually in the text box. In the drop down menu on the top you can choose\nhow to select the spatial extent. You can get the extent of the current layer, the extent of a shape file, the extent of\nthe current QGIS map canvas, by drawing a rectangle on the QGIS map canvas or by drawing a polygon on the QGIS map\ncanvas. The drawings start after clicking on the "Draw Extent" button, so that your curser becomes a cross to draw on\nthe map. After pressing the "OK" button, the extent string in the text field is set to the process argument and the\nwindow closes.')]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Temporal Extent")]),e._v(" - If an argument expects a start and end date, the edit button opens a calendar dialog:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(313),alt:"QGIS Edit temporal extent"}})]),e._v(" "),t("p",[e._v("The left calendar sets the start date and the right calendar the end date.")]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Band selection")]),e._v(" - If an argument expects a selection of bands, the edit button opens the following dialog to choose\nfrom the bands available at the selected collection. Note that it always lists all bands of the collection even if some\nbands are filtered by previous processes and therefore not available in the datacube anymore.")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(314),alt:"QGIS Edit band selection"}})]),e._v(" "),t("ul",[t("li",[t("strong",[e._v("Process Graph Node")]),e._v(' - If an argument expects a raster data cube, a drop down menu will appear on the edit column.\nThere you can choose from existing process graph nodes (e.g. "loadcollection1") It uses the output of the given node\nidentifier as input of the process argument.')]),e._v(" "),t("li",[t("strong",[e._v("Sub Process Graph")]),e._v(" - Some processes need a whole (sub-)process graph as input value (e.g. apply or reduce\nprocesses). When clicking on the edit button, the plugin opens a new adaption window, which looks similar to the job\nadaption window, but shows the sub process graph:")])]),e._v(" "),t("p",[t("img",{attrs:{src:o(315),alt:"QGIS Edit sub process graph"}})]),e._v(" "),t("p",[e._v('In this window you can adapt the sub process graph in the same way as the original process graph. After pressing on\n"Adapt", the changes are written to the original job. Process arguments, which do not have special editing fields,\nhave a "Proc-Param" button. If pressed it will forward the input data of the parent node\n(so the one with the subgraph as attribute) to the selected argument (see screenshot "data" argument). 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There is no API instance that runs more than one driver.")]),e._v(" "),t("li",[e._v("Clients in R, Python, and JavaScript connect directly to the back-ends and communicate with the back-ends over "),t("em",[e._v("HTTPS")]),e._v(" according to the openEO API specification.")]),e._v(" "),t("li",[e._v("API instances can run on back-end servers or additional intermediate layers, which then communicate to back-ends in a back-end specific way.")]),e._v(" "),t("li",[e._v("Back-ends may add functionality and extend the API wherever there is need.")]),e._v(" "),t("li",[e._v("There will be a central back-end registry service (openEO Hub), to allow users to search for back-ends with specific functionality and or data.")]),e._v(" "),t("li",[e._v("The openEO API may define "),t("em",[e._v("profiles")]),e._v(" in order to group specific functionality.")])]),e._v(" "),t("p",[t("img",{attrs:{src:a(283),alt:"Architecture - openEO API shown in dark blue"}})]),e._v(" "),t("h1",{attrs:{id:"microservices"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#microservices"}},[e._v("#")]),e._v(" Microservices")]),e._v(" "),t("p",[e._v("To simplify and structure the development, the API is divided into a few microservices.")]),e._v(" "),t("table",[t("thead",[t("tr",[t("th",[e._v("Microservice")]),e._v(" "),t("th",[e._v("Description")])])]),e._v(" "),t("tbody",[t("tr",[t("td",[e._v("Capabilities")]),e._v(" "),t("td",[e._v("This microservice reports on the capabilities of the back-end, i.e. which API endpoints are implemented, which authentication methods are supported, and whether and how UDFs can be executed at the back-end.")])]),e._v(" "),t("tr",[t("td",[e._v("EO Data Discovery")]),e._v(" "),t("td",[e._v("Describes which collections are available at the back-end.")])]),e._v(" "),t("tr",[t("td",[e._v("Process Discovery")]),e._v(" "),t("td",[e._v("Provides services to find out which processes a back-end provides, i.e., what users can do with the available data.")])]),e._v(" "),t("tr",[t("td",[e._v("UDF")]),e._v(" "),t("td",[e._v("Discovery and execution of user-defined functions.")])]),e._v(" "),t("tr",[t("td",[e._v("Batch Job Management")]),e._v(" "),t("td",[e._v("Organizes and manages batch jobs that run processes on back-ends.")])]),e._v(" "),t("tr",[t("td",[e._v("File Management")]),e._v(" "),t("td",[e._v("Organizes and manages user-uploaded files.")])]),e._v(" "),t("tr",[t("td",[e._v("Process Graph Management")]),e._v(" "),t("td",[e._v("Organizes and manages user-defined process graphs.")])]),e._v(" "),t("tr",[t("td",[e._v("Secondary Services Management")]),e._v(" "),t("td",[e._v("External web services to access data and job results such as a OGC WMTS service.")])]),e._v(" "),t("tr",[t("td",[e._v("Account Management")]),e._v(" "),t("td",[e._v("User management, accounting and authentication.")])])])])])}),[],!1,null,null,null);t.default=i.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[41],{283:function(e,t,a){e.exports=a.p+"assets/img/arch.e75ccb9a.png"},458:function(e,t,a){"use strict";a.r(t);var n=a(4),i=Object(n.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("h1",{attrs:{id:"architecture"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#architecture"}},[e._v("#")]),e._v(" Architecture")]),e._v(" "),t("p",[e._v("The openEO API defines a language how clients communicate to back-ends in order to analyze large Earth observation datasets. The API will be implemented by drivers for specific back-ends. Some first architecture considerations are listed below.")]),e._v(" "),t("ol",[t("li",[e._v("The openEO API is a contract between clients and back-ends that describes the communication only")]),e._v(" "),t("li",[e._v("Each back-end runs its own API instance including the specific back-end driver. There is no API instance that runs more than one driver.")]),e._v(" "),t("li",[e._v("Clients in R, Python, and JavaScript connect directly to the back-ends and communicate with the back-ends over "),t("em",[e._v("HTTPS")]),e._v(" according to the openEO API specification.")]),e._v(" "),t("li",[e._v("API instances can run on back-end servers or additional intermediate layers, which then communicate to back-ends in a back-end specific way.")]),e._v(" "),t("li",[e._v("Back-ends may add functionality and extend the API wherever there is need.")]),e._v(" "),t("li",[e._v("There will be a central back-end registry service (openEO Hub), to allow users to search for back-ends with specific functionality and or data.")]),e._v(" "),t("li",[e._v("The openEO API may define "),t("em",[e._v("profiles")]),e._v(" in order to group specific functionality.")])]),e._v(" "),t("p",[t("img",{attrs:{src:a(283),alt:"Architecture - openEO API shown in dark blue"}})]),e._v(" "),t("h1",{attrs:{id:"microservices"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#microservices"}},[e._v("#")]),e._v(" Microservices")]),e._v(" "),t("p",[e._v("To simplify and structure the development, the API is divided into a few microservices.")]),e._v(" "),t("table",[t("thead",[t("tr",[t("th",[e._v("Microservice")]),e._v(" "),t("th",[e._v("Description")])])]),e._v(" "),t("tbody",[t("tr",[t("td",[e._v("Capabilities")]),e._v(" "),t("td",[e._v("This microservice reports on the capabilities of the back-end, i.e. which API endpoints are implemented, which authentication methods are supported, and whether and how UDFs can be executed at the back-end.")])]),e._v(" "),t("tr",[t("td",[e._v("EO Data Discovery")]),e._v(" "),t("td",[e._v("Describes which collections are available at the back-end.")])]),e._v(" "),t("tr",[t("td",[e._v("Process Discovery")]),e._v(" "),t("td",[e._v("Provides services to find out which processes a back-end provides, i.e., what users can do with the available data.")])]),e._v(" "),t("tr",[t("td",[e._v("UDF")]),e._v(" "),t("td",[e._v("Discovery and execution of user-defined functions.")])]),e._v(" "),t("tr",[t("td",[e._v("Batch Job Management")]),e._v(" "),t("td",[e._v("Organizes and manages batch jobs that run processes on back-ends.")])]),e._v(" "),t("tr",[t("td",[e._v("File Management")]),e._v(" "),t("td",[e._v("Organizes and manages user-uploaded files.")])]),e._v(" "),t("tr",[t("td",[e._v("Process Graph Management")]),e._v(" "),t("td",[e._v("Organizes and manages user-defined process graphs.")])]),e._v(" "),t("tr",[t("td",[e._v("Secondary Services Management")]),e._v(" "),t("td",[e._v("External web services to access data and job results such as a OGC WMTS service.")])]),e._v(" "),t("tr",[t("td",[e._v("Account Management")]),e._v(" "),t("td",[e._v("User management, accounting and authentication.")])])])])])}),[],!1,null,null,null);t.default=i.exports}}]); \ No newline at end of file diff --git a/assets/js/42.5c73b342.js b/assets/js/42.07442194.js similarity index 99% rename from assets/js/42.5c73b342.js rename to assets/js/42.07442194.js index 6816134b5..d8d41cb15 100644 --- a/assets/js/42.5c73b342.js +++ b/assets/js/42.07442194.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[42],{284:function(e,a,t){e.exports=t.p+"assets/img/datacube-example.bab870f7.png"},465:function(e,a,t){"use strict";t.r(a);var s=t(4),o=Object(s.a)({},(function(){var e=this,a=e._self._c;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"glossary"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#glossary"}},[e._v("#")]),e._v(" Glossary")]),e._v(" "),a("p",[e._v("This glossary introduces the major technical terms used in the openEO project.")]),e._v(" "),a("h2",{attrs:{id:"general-terms"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#general-terms"}},[e._v("#")]),e._v(" General terms")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("EO")]),e._v(": Earth observation")]),e._v(" "),a("li",[a("strong",[e._v("API")]),e._v(": application programming interface ("),a("a",{attrs:{href:"https://en.wikipedia.org/wiki/Application_programming_interface",target:"_blank",rel:"noopener noreferrer"}},[e._v("wikipedia"),a("OutboundLink")],1),e._v("); a communication protocol between client and back-end")]),e._v(" "),a("li",[a("strong",[e._v("client")]),e._v(": software tool or environment that end-users directly interact with, e.g. R (RStudio), Python (Jupyter notebook), and JavaScript (web browser); R and Python are two major data science platforms; JavaScript is a major language for web development")]),e._v(" "),a("li",[a("strong",[e._v("(cloud) back-end")]),e._v(": server; computer infrastructure (one or more physical computers or virtual machines) used for storing EO data and processing it")]),e._v(" "),a("li",[a("strong",[e._v("big Earth observation cloud back-end")]),e._v(": server infrastructure where industry and researchers analyse large amounts of EO data")])]),e._v(" "),a("h2",{attrs:{id:"processes-and-process-graphs"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#processes-and-process-graphs"}},[e._v("#")]),e._v(" Processes and process graphs")]),e._v(" "),a("p",[e._v("The terms "),a("em",[e._v("process")]),e._v(" and "),a("em",[e._v("process graph")]),e._v(" have specific meanings in the openEO API specification.")]),e._v(" "),a("p",[e._v("A "),a("strong",[e._v("process")]),e._v(" is an operation provided by the back end that performs a specific task on a set of parameters and returns a result. An example is computing a statistical operation, such as mean or median, on selected EO data. A process is similar to a function or method in programming languages.")]),e._v(" "),a("p",[e._v("A "),a("strong",[e._v("process graph")]),e._v(" chains specific process calls together. Similarly to scripts in the context of programming, process graphs organize and automate the execution of one or more processes that could alternatively be executed individually. In a process graph, processes need to be specific, i.e. concrete values for input parameters need to be specified. These arguments can again be process graphs, scalar values, arrays or objects.")]),e._v(" "),a("h2",{attrs:{id:"eo-data-collections"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#eo-data-collections"}},[e._v("#")]),e._v(" EO data (Collections)")]),e._v(" "),a("p",[e._v("In our domain, different terms are used to describe EO data(sets). Within openEO, a "),a("strong",[e._v("granule")]),e._v(" (sometimes also called "),a("em",[e._v("item")]),e._v(" or "),a("em",[e._v("asset")]),e._v(" in the specification) typically refers to a limited area and a single overpass leading to a very short observation period (seconds) or a temporal aggregation of such data (e.g. for 16-day MODIS composites). A "),a("strong",[e._v("collection")]),e._v(" is a sequence of granules sharing the same product specification. It typically corresponds to the series of products derived from data acquired by a sensor on board a satellite and having the same mode of operation.")]),e._v(" "),a("p",[e._v("The "),a("a",{attrs:{href:"http://ceos.org/ourwork/workinggroups/wgiss/access/opensearch/",target:"_blank",rel:"noopener noreferrer"}},[e._v("CEOS OpenSearch Best Practice Document v1.2"),a("OutboundLink")],1),e._v(" lists the following synonyms used by other organizations:")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("granule")]),e._v(": dataset (ESA, ISO 19115), granule (NASA), product (ESA, CNES), scene (JAXA)")]),e._v(" "),a("li",[a("strong",[e._v("collection")]),e._v(": dataset series (ESA, ISO 19115), collection (CNES, NASA), dataset (JAXA), product (JAXA)")])]),e._v(" "),a("p",[e._v("In openEO, a back-end offers a set of collections to be processed. All collections can be requested using a client and are described using the "),a("a",{attrs:{href:"https://github.com/radiantearth/stac-spec",target:"_blank",rel:"noopener noreferrer"}},[e._v("STAC (SpatioTemporal Asset Catalog) metadata specification"),a("OutboundLink")],1),e._v(" as STAC collections. A user can load (a subset of) a collection using a special process, which returns a (spatial) data cube. All further processing is then applied to the data cube on the back-end.")]),e._v(" "),a("h2",{attrs:{id:"spatial-data-cubes"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#spatial-data-cubes"}},[e._v("#")]),e._v(" Spatial data cubes")]),e._v(" "),a("p",[e._v("A "),a("em",[e._v("spatiotemporal")]),e._v(" data cube is a multidimensional array with one or more spatial or temporal dimensions.\nIn the EO domain, it is common to be implicit about the temporal dimension and just refer to them as "),a("em",[e._v("spatial")]),e._v(" data cubes in short.\nSpecial cases are raster and vector data cubes.")]),e._v(" "),a("p",[e._v("The figure below shows the data of\na four-dimensional (8 x 8 x 2 x 2) raster data cube, with dimension names\nand values:")]),e._v(" "),a("table",[a("thead",[a("tr",[a("th",[e._v("#")]),e._v(" "),a("th",[e._v("dimension name")]),e._v(" "),a("th",[e._v("dimension values")])])]),e._v(" "),a("tbody",[a("tr",[a("td",[e._v("1")]),e._v(" "),a("td",[e._v("x")]),e._v(" "),a("td",[e._v("288790.5, 288819, 288847.5, 288876, 288904.5, 288933, 288961.5, 288990")])]),e._v(" "),a("tr",[a("td",[e._v("2")]),e._v(" "),a("td",[e._v("y")]),e._v(" "),a("td",[e._v("9120747, 9120718, 9120690, 9120661, 9120633, 9120604, 9120576, 9120547")])]),e._v(" "),a("tr",[a("td",[e._v("3")]),e._v(" "),a("td",[e._v("band")]),e._v(" "),a("td",[a("code",[e._v("red")]),e._v(", "),a("code",[e._v("green")])])]),e._v(" "),a("tr",[a("td",[e._v("4")]),e._v(" "),a("td",[e._v("time")]),e._v(" "),a("td",[a("code",[e._v("2018-02-10")]),e._v(", "),a("code",[e._v("2018-02-17")])])])])]),e._v(" "),a("p",[e._v("dimensions x and time are aligned along the x-axis; y and band are aligned along the y-axis.")]),e._v(" "),a("p",[a("img",{attrs:{src:t(284),alt:"Data cube example"}})]),e._v(" "),a("p",[e._v("Data cubes as defined here have a "),a("em",[e._v("single value")]),e._v(" (scalar) for each\nunique combination of dimension values. The value pointed to by\narrows corresponds to the combination of x=288847.5 (red arrow),\ny=9120661 (yellow arrow), band=red (blue arrow), time=2018-02-17 (green arrow),\nand its value is 84 (brown arrow).")]),e._v(" "),a("p",[e._v("If the data concerns grayscale imagery, we could call this "),a("em",[e._v("single")]),e._v("\nvalue a "),a("em",[e._v("pixel value")]),e._v(". One should keep in mind that it is "),a("em",[e._v("never")]),e._v("\na tuple of, say, "),a("code",[e._v("{red, green, blue}")]),e._v(' values. "Cell value of a\nsingle raster layer" would be a better analogy; '),a("em",[e._v("data cube cell\nvalue")]),e._v(" may be a good compromise.")]),e._v(" "),a("p",[e._v("A data cube stores some additional properties per dimension such as:")]),e._v(" "),a("ul",[a("li",[e._v("name")]),e._v(" "),a("li",[e._v("axis / number")]),e._v(" "),a("li",[e._v("type")]),e._v(" "),a("li",[e._v("extents "),a("em",[e._v("or")]),e._v(" nominal dimension values")]),e._v(" "),a("li",[e._v("reference systems / projections")]),e._v(" "),a("li",[e._v("resolutions")])]),e._v(" "),a("p",[e._v("Having these properties available allows to easily resample from one data cube to another for example.")]),e._v(" "),a("h3",{attrs:{id:"apply-processes-that-do-not-change-dimensions"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#apply-processes-that-do-not-change-dimensions"}},[e._v("#")]),e._v(" "),a("code",[e._v("apply")]),e._v(": processes that do not change dimensions")]),e._v(" "),a("p",[e._v("Math process that does not reduce or change anything to the array\ndimensions. The process "),a("code",[e._v("apply")]),e._v(" can be used to apply unary functions\nsuch as "),a("code",[e._v("abs")]),e._v(" or "),a("code",[e._v("sqrt")]),e._v(" to all values in a data cube.")]),e._v(" "),a("p",[e._v("The process "),a("code",[e._v("apply_dimension")]),e._v(" applies (maps) an n-ary function to a particular\ndimension. An example along the time dimension is to apply a moving\naverage filter to implement temporal smoothing.\nAn example of "),a("code",[e._v("apply_dimension")]),e._v(" to the spatial dimensions\nis to do a historgram stretch for every spatial (grayscale) image\nof an image time series.")]),e._v(" "),a("h3",{attrs:{id:"filter-subsetting-dimensions-by-dimension-value-selection"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#filter-subsetting-dimensions-by-dimension-value-selection"}},[e._v("#")]),e._v(" "),a("code",[e._v("filter")]),e._v(": subsetting dimensions by dimension value selection")]),e._v(" "),a("p",[e._v("The "),a("code",[e._v("filter")]),e._v(" process makes a cube smaller by selecting specific\nvalue ranges for a particular dimension.")]),e._v(" "),a("p",[e._v("Examples:")]),e._v(" "),a("ul",[a("li",[e._v("a band filter that selects the "),a("code",[e._v("red")]),e._v(" band")]),e._v(" "),a("li",[e._v('a bounding box filter "crops" the collection to a spatial extent')])]),e._v(" "),a("h3",{attrs:{id:"reduce-removing-dimensions-entirely-by-computation"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#reduce-removing-dimensions-entirely-by-computation"}},[e._v("#")]),e._v(" "),a("code",[e._v("reduce")]),e._v(": removing dimensions entirely by computation")]),e._v(" "),a("p",[e._v("The "),a("code",[e._v("reduce")]),e._v(' process removes a dimension by "rolling up" or summarizing\nthe values along that dimension to a single value.\nFor example: eliminate the time dimension by taking the '),a("code",[e._v("mean")]),e._v(" along that dimension.\nAnother example is taking the "),a("code",[e._v("sum")]),e._v(" or "),a("code",[e._v("max")]),e._v(" along the band dimension.")]),e._v(" "),a("h3",{attrs:{id:"aggregate-reducing-resolution"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#aggregate-reducing-resolution"}},[e._v("#")]),e._v(" "),a("code",[e._v("aggregate")]),e._v(": reducing resolution")]),e._v(" "),a("p",[e._v("Aggregation computes new values from sets of values that are "),a("em",[e._v("uniquely")]),e._v(" assigned to groups. It involves a grouping predicate (e.g. monthly, 100 m x 100 m grid cells, or a set of non-overlapping spatial polygons), and an reducer (e.g., "),a("code",[e._v("mean")]),e._v(") that computes one or more new values from the original ones.")]),e._v(" "),a("p",[e._v("In effect, "),a("code",[e._v("aggregate")]),e._v(" combines the following three steps:")]),e._v(" "),a("ul",[a("li",[a("em",[e._v("split")]),e._v(" the data cube in groups, based on dimension constraints (time intervals, band groups, spatial polygons)")]),e._v(" "),a("li",[a("em",[e._v("apply")]),e._v(" a reducer to each group (similar to the "),a("code",[e._v("reduce")]),e._v(" process, but reducing a group rather than an entire dimension)")]),e._v(" "),a("li",[a("em",[e._v("combine")]),e._v(" the result to a new data cube, with some dimensions having reduced resolution (or e.g. raster to vector converted)")])]),e._v(" "),a("p",[e._v("Examples:")]),e._v(" "),a("ul",[a("li",[e._v("a weekly time series may be aggregated to monthly values by computing the "),a("code",[e._v("mean")]),e._v(" for all values in a month (grouping predicate: months)")]),e._v(" "),a("li",[a("em",[e._v("spatial")]),e._v(" aggregation involves computing e.g. "),a("em",[e._v("mean")]),e._v(" pixel values on a 100 x 100 m grid, from 10 m x 10 m pixels, where each original pixel is assigned uniquely to a larger pixel (grouping predicate: 100 m x 100 m grid cells)")])]),e._v(" "),a("h3",{attrs:{id:"resample-changing-data-cube-geometry"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#resample-changing-data-cube-geometry"}},[e._v("#")]),e._v(" "),a("code",[e._v("resample")]),e._v(": changing data cube geometry")]),e._v(" "),a("p",[e._v("Resampling considers the case where we have data at one resolution and coordinate reference system, and need values at another. In case we have values at a 100 m x 100 m grid and need values at a 10 m x 10 m grid, the original values will be reused many times, and may be simply assigned to the nearest high resolution grid cells (nearest neighbor method), or may be interpolated using various methods (e.g. by bilinear interpolation). This is often called "),a("em",[e._v("upsampling")]),e._v(" or "),a("em",[e._v("upscaling")]),e._v(".")]),e._v(" "),a("p",[e._v("Resampling from finer to coarser grid is a special case of aggregation often called "),a("em",[e._v("downsampling")]),e._v(" or "),a("em",[e._v("downscaling")]),e._v(".")]),e._v(" "),a("p",[e._v("When the target grid or time series has a lower resolution (larger grid cells) or lower frequency (longer time intervals) than the source grid, aggregation might be used for resampling. For example, if the resolutions are similar, (e.g. the source collection provides 10 day intervals and the target needs values for 16 day intervals), then some form of interpolation may be more appropriate than aggregation as defined here.")]),e._v(" "),a("h2",{attrs:{id:"user-defined-function-udf"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#user-defined-function-udf"}},[e._v("#")]),e._v(" User-defined function (UDF)")]),e._v(" "),a("p",[e._v("The abbreviation "),a("strong",[e._v("UDF")]),e._v(" stands for "),a("strong",[e._v("user-defined function")]),e._v(". With this concept, users are able to upload custom code and have it executed e.g. for every pixel of a scene, or applied to a particular dimension or set of dimensions, allowing custom server-side calculations. See the section on "),a("RouterLink",{attrs:{to:"/documentation/0.4/udfs.html"}},[e._v("UDFs")]),e._v(" for more information.")],1),e._v(" "),a("h2",{attrs:{id:"data-processing-modes"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#data-processing-modes"}},[e._v("#")]),e._v(" Data Processing modes")]),e._v(" "),a("p",[e._v("Process graphs can be processed in three different ways:")]),e._v(" "),a("ol",[a("li",[e._v("Results can be pre-computed by creating a "),a("em",[a("strong",[e._v("batch job")])]),e._v(" using "),a("code",[e._v("POST /jobs")]),e._v(". They are submitted to the back-end's processing system, but will remain inactive until "),a("code",[e._v("POST /jobs/{job_id}/results")]),e._v(" has been called. They will run only once and store results after execution. Results can be downloaded. Batch jobs are typically time consuming and user interaction is not possible. This is the only mode that allows to get an estimate about time, volume and costs beforehand.")]),e._v(" "),a("li",[e._v("A more dynamic way of processing and accessing data is to create a "),a("strong",[e._v("secondary web service")]),e._v(". They allow web-based access using different protocols such as "),a("a",{attrs:{href:"http://www.opengeospatial.org/standards/wms",target:"_blank",rel:"noopener noreferrer"}},[e._v("OGC WMS"),a("OutboundLink")],1),e._v(" (Open Geospatial Consortium Web Map Service), "),a("a",{attrs:{href:"http://www.opengeospatial.org/standards/wcs",target:"_blank",rel:"noopener noreferrer"}},[e._v("OGC WCS"),a("OutboundLink")],1),e._v(" (Web Coverage Service) or "),a("a",{attrs:{href:"https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames",target:"_blank",rel:"noopener noreferrer"}},[e._v("XYZ tiles"),a("OutboundLink")],1),e._v(". These protocols usually allow users to change the viewing extent or level of detail (zoom level). Therefore, computations often run "),a("em",[e._v("on demand")]),e._v(" so that the requested data is calculated during the request. Back-ends should make sure to cache processed data to avoid additional/high costs and reduce waiting times for the user.")]),e._v(" "),a("li",[e._v("Process graphs can also be executed "),a("strong",[e._v("on-demand")]),e._v(" (i.e. synchronously) by sending the process graph to "),a("code",[e._v("POST /result")]),e._v(". Results are delivered with the request itself and no job is created. Only lightweight computations, for example small previews, should be executed using this approach as timeouts are to be expected for "),a("a",{attrs:{href:"https://www.pubnub.com/blog/2014-12-01-http-long-polling/",target:"_blank",rel:"noopener noreferrer"}},[e._v("long-polling HTTP requests"),a("OutboundLink")],1),e._v(".")])])])}),[],!1,null,null,null);a.default=o.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[42],{284:function(e,a,t){e.exports=t.p+"assets/img/datacube-example.bab870f7.png"},464:function(e,a,t){"use strict";t.r(a);var s=t(4),o=Object(s.a)({},(function(){var e=this,a=e._self._c;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"glossary"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#glossary"}},[e._v("#")]),e._v(" Glossary")]),e._v(" "),a("p",[e._v("This glossary introduces the major technical terms used in the openEO project.")]),e._v(" "),a("h2",{attrs:{id:"general-terms"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#general-terms"}},[e._v("#")]),e._v(" General terms")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("EO")]),e._v(": Earth observation")]),e._v(" "),a("li",[a("strong",[e._v("API")]),e._v(": application programming interface ("),a("a",{attrs:{href:"https://en.wikipedia.org/wiki/Application_programming_interface",target:"_blank",rel:"noopener noreferrer"}},[e._v("wikipedia"),a("OutboundLink")],1),e._v("); a communication protocol between client and back-end")]),e._v(" "),a("li",[a("strong",[e._v("client")]),e._v(": software tool or environment that end-users directly interact with, e.g. R (RStudio), Python (Jupyter notebook), and JavaScript (web browser); R and Python are two major data science platforms; JavaScript is a major language for web development")]),e._v(" "),a("li",[a("strong",[e._v("(cloud) back-end")]),e._v(": server; computer infrastructure (one or more physical computers or virtual machines) used for storing EO data and processing it")]),e._v(" "),a("li",[a("strong",[e._v("big Earth observation cloud back-end")]),e._v(": server infrastructure where industry and researchers analyse large amounts of EO data")])]),e._v(" "),a("h2",{attrs:{id:"processes-and-process-graphs"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#processes-and-process-graphs"}},[e._v("#")]),e._v(" Processes and process graphs")]),e._v(" "),a("p",[e._v("The terms "),a("em",[e._v("process")]),e._v(" and "),a("em",[e._v("process graph")]),e._v(" have specific meanings in the openEO API specification.")]),e._v(" "),a("p",[e._v("A "),a("strong",[e._v("process")]),e._v(" is an operation provided by the back end that performs a specific task on a set of parameters and returns a result. An example is computing a statistical operation, such as mean or median, on selected EO data. A process is similar to a function or method in programming languages.")]),e._v(" "),a("p",[e._v("A "),a("strong",[e._v("process graph")]),e._v(" chains specific process calls together. Similarly to scripts in the context of programming, process graphs organize and automate the execution of one or more processes that could alternatively be executed individually. In a process graph, processes need to be specific, i.e. concrete values for input parameters need to be specified. These arguments can again be process graphs, scalar values, arrays or objects.")]),e._v(" "),a("h2",{attrs:{id:"eo-data-collections"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#eo-data-collections"}},[e._v("#")]),e._v(" EO data (Collections)")]),e._v(" "),a("p",[e._v("In our domain, different terms are used to describe EO data(sets). Within openEO, a "),a("strong",[e._v("granule")]),e._v(" (sometimes also called "),a("em",[e._v("item")]),e._v(" or "),a("em",[e._v("asset")]),e._v(" in the specification) typically refers to a limited area and a single overpass leading to a very short observation period (seconds) or a temporal aggregation of such data (e.g. for 16-day MODIS composites). A "),a("strong",[e._v("collection")]),e._v(" is a sequence of granules sharing the same product specification. It typically corresponds to the series of products derived from data acquired by a sensor on board a satellite and having the same mode of operation.")]),e._v(" "),a("p",[e._v("The "),a("a",{attrs:{href:"http://ceos.org/ourwork/workinggroups/wgiss/access/opensearch/",target:"_blank",rel:"noopener noreferrer"}},[e._v("CEOS OpenSearch Best Practice Document v1.2"),a("OutboundLink")],1),e._v(" lists the following synonyms used by other organizations:")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("granule")]),e._v(": dataset (ESA, ISO 19115), granule (NASA), product (ESA, CNES), scene (JAXA)")]),e._v(" "),a("li",[a("strong",[e._v("collection")]),e._v(": dataset series (ESA, ISO 19115), collection (CNES, NASA), dataset (JAXA), product (JAXA)")])]),e._v(" "),a("p",[e._v("In openEO, a back-end offers a set of collections to be processed. All collections can be requested using a client and are described using the "),a("a",{attrs:{href:"https://github.com/radiantearth/stac-spec",target:"_blank",rel:"noopener noreferrer"}},[e._v("STAC (SpatioTemporal Asset Catalog) metadata specification"),a("OutboundLink")],1),e._v(" as STAC collections. A user can load (a subset of) a collection using a special process, which returns a (spatial) data cube. All further processing is then applied to the data cube on the back-end.")]),e._v(" "),a("h2",{attrs:{id:"spatial-data-cubes"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#spatial-data-cubes"}},[e._v("#")]),e._v(" Spatial data cubes")]),e._v(" "),a("p",[e._v("A "),a("em",[e._v("spatiotemporal")]),e._v(" data cube is a multidimensional array with one or more spatial or temporal dimensions.\nIn the EO domain, it is common to be implicit about the temporal dimension and just refer to them as "),a("em",[e._v("spatial")]),e._v(" data cubes in short.\nSpecial cases are raster and vector data cubes.")]),e._v(" "),a("p",[e._v("The figure below shows the data of\na four-dimensional (8 x 8 x 2 x 2) raster data cube, with dimension names\nand values:")]),e._v(" "),a("table",[a("thead",[a("tr",[a("th",[e._v("#")]),e._v(" "),a("th",[e._v("dimension name")]),e._v(" "),a("th",[e._v("dimension values")])])]),e._v(" "),a("tbody",[a("tr",[a("td",[e._v("1")]),e._v(" "),a("td",[e._v("x")]),e._v(" "),a("td",[e._v("288790.5, 288819, 288847.5, 288876, 288904.5, 288933, 288961.5, 288990")])]),e._v(" "),a("tr",[a("td",[e._v("2")]),e._v(" "),a("td",[e._v("y")]),e._v(" "),a("td",[e._v("9120747, 9120718, 9120690, 9120661, 9120633, 9120604, 9120576, 9120547")])]),e._v(" "),a("tr",[a("td",[e._v("3")]),e._v(" "),a("td",[e._v("band")]),e._v(" "),a("td",[a("code",[e._v("red")]),e._v(", "),a("code",[e._v("green")])])]),e._v(" "),a("tr",[a("td",[e._v("4")]),e._v(" "),a("td",[e._v("time")]),e._v(" "),a("td",[a("code",[e._v("2018-02-10")]),e._v(", "),a("code",[e._v("2018-02-17")])])])])]),e._v(" "),a("p",[e._v("dimensions x and time are aligned along the x-axis; y and band are aligned along the y-axis.")]),e._v(" "),a("p",[a("img",{attrs:{src:t(284),alt:"Data cube example"}})]),e._v(" "),a("p",[e._v("Data cubes as defined here have a "),a("em",[e._v("single value")]),e._v(" (scalar) for each\nunique combination of dimension values. The value pointed to by\narrows corresponds to the combination of x=288847.5 (red arrow),\ny=9120661 (yellow arrow), band=red (blue arrow), time=2018-02-17 (green arrow),\nand its value is 84 (brown arrow).")]),e._v(" "),a("p",[e._v("If the data concerns grayscale imagery, we could call this "),a("em",[e._v("single")]),e._v("\nvalue a "),a("em",[e._v("pixel value")]),e._v(". One should keep in mind that it is "),a("em",[e._v("never")]),e._v("\na tuple of, say, "),a("code",[e._v("{red, green, blue}")]),e._v(' values. "Cell value of a\nsingle raster layer" would be a better analogy; '),a("em",[e._v("data cube cell\nvalue")]),e._v(" may be a good compromise.")]),e._v(" "),a("p",[e._v("A data cube stores some additional properties per dimension such as:")]),e._v(" "),a("ul",[a("li",[e._v("name")]),e._v(" "),a("li",[e._v("axis / number")]),e._v(" "),a("li",[e._v("type")]),e._v(" "),a("li",[e._v("extents "),a("em",[e._v("or")]),e._v(" nominal dimension values")]),e._v(" "),a("li",[e._v("reference systems / projections")]),e._v(" "),a("li",[e._v("resolutions")])]),e._v(" "),a("p",[e._v("Having these properties available allows to easily resample from one data cube to another for example.")]),e._v(" "),a("h3",{attrs:{id:"apply-processes-that-do-not-change-dimensions"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#apply-processes-that-do-not-change-dimensions"}},[e._v("#")]),e._v(" "),a("code",[e._v("apply")]),e._v(": processes that do not change dimensions")]),e._v(" "),a("p",[e._v("Math process that does not reduce or change anything to the array\ndimensions. The process "),a("code",[e._v("apply")]),e._v(" can be used to apply unary functions\nsuch as "),a("code",[e._v("abs")]),e._v(" or "),a("code",[e._v("sqrt")]),e._v(" to all values in a data cube.")]),e._v(" "),a("p",[e._v("The process "),a("code",[e._v("apply_dimension")]),e._v(" applies (maps) an n-ary function to a particular\ndimension. An example along the time dimension is to apply a moving\naverage filter to implement temporal smoothing.\nAn example of "),a("code",[e._v("apply_dimension")]),e._v(" to the spatial dimensions\nis to do a historgram stretch for every spatial (grayscale) image\nof an image time series.")]),e._v(" "),a("h3",{attrs:{id:"filter-subsetting-dimensions-by-dimension-value-selection"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#filter-subsetting-dimensions-by-dimension-value-selection"}},[e._v("#")]),e._v(" "),a("code",[e._v("filter")]),e._v(": subsetting dimensions by dimension value selection")]),e._v(" "),a("p",[e._v("The "),a("code",[e._v("filter")]),e._v(" process makes a cube smaller by selecting specific\nvalue ranges for a particular dimension.")]),e._v(" "),a("p",[e._v("Examples:")]),e._v(" "),a("ul",[a("li",[e._v("a band filter that selects the "),a("code",[e._v("red")]),e._v(" band")]),e._v(" "),a("li",[e._v('a bounding box filter "crops" the collection to a spatial extent')])]),e._v(" "),a("h3",{attrs:{id:"reduce-removing-dimensions-entirely-by-computation"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#reduce-removing-dimensions-entirely-by-computation"}},[e._v("#")]),e._v(" "),a("code",[e._v("reduce")]),e._v(": removing dimensions entirely by computation")]),e._v(" "),a("p",[e._v("The "),a("code",[e._v("reduce")]),e._v(' process removes a dimension by "rolling up" or summarizing\nthe values along that dimension to a single value.\nFor example: eliminate the time dimension by taking the '),a("code",[e._v("mean")]),e._v(" along that dimension.\nAnother example is taking the "),a("code",[e._v("sum")]),e._v(" or "),a("code",[e._v("max")]),e._v(" along the band dimension.")]),e._v(" "),a("h3",{attrs:{id:"aggregate-reducing-resolution"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#aggregate-reducing-resolution"}},[e._v("#")]),e._v(" "),a("code",[e._v("aggregate")]),e._v(": reducing resolution")]),e._v(" "),a("p",[e._v("Aggregation computes new values from sets of values that are "),a("em",[e._v("uniquely")]),e._v(" assigned to groups. It involves a grouping predicate (e.g. monthly, 100 m x 100 m grid cells, or a set of non-overlapping spatial polygons), and an reducer (e.g., "),a("code",[e._v("mean")]),e._v(") that computes one or more new values from the original ones.")]),e._v(" "),a("p",[e._v("In effect, "),a("code",[e._v("aggregate")]),e._v(" combines the following three steps:")]),e._v(" "),a("ul",[a("li",[a("em",[e._v("split")]),e._v(" the data cube in groups, based on dimension constraints (time intervals, band groups, spatial polygons)")]),e._v(" "),a("li",[a("em",[e._v("apply")]),e._v(" a reducer to each group (similar to the "),a("code",[e._v("reduce")]),e._v(" process, but reducing a group rather than an entire dimension)")]),e._v(" "),a("li",[a("em",[e._v("combine")]),e._v(" the result to a new data cube, with some dimensions having reduced resolution (or e.g. raster to vector converted)")])]),e._v(" "),a("p",[e._v("Examples:")]),e._v(" "),a("ul",[a("li",[e._v("a weekly time series may be aggregated to monthly values by computing the "),a("code",[e._v("mean")]),e._v(" for all values in a month (grouping predicate: months)")]),e._v(" "),a("li",[a("em",[e._v("spatial")]),e._v(" aggregation involves computing e.g. "),a("em",[e._v("mean")]),e._v(" pixel values on a 100 x 100 m grid, from 10 m x 10 m pixels, where each original pixel is assigned uniquely to a larger pixel (grouping predicate: 100 m x 100 m grid cells)")])]),e._v(" "),a("h3",{attrs:{id:"resample-changing-data-cube-geometry"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#resample-changing-data-cube-geometry"}},[e._v("#")]),e._v(" "),a("code",[e._v("resample")]),e._v(": changing data cube geometry")]),e._v(" "),a("p",[e._v("Resampling considers the case where we have data at one resolution and coordinate reference system, and need values at another. In case we have values at a 100 m x 100 m grid and need values at a 10 m x 10 m grid, the original values will be reused many times, and may be simply assigned to the nearest high resolution grid cells (nearest neighbor method), or may be interpolated using various methods (e.g. by bilinear interpolation). This is often called "),a("em",[e._v("upsampling")]),e._v(" or "),a("em",[e._v("upscaling")]),e._v(".")]),e._v(" "),a("p",[e._v("Resampling from finer to coarser grid is a special case of aggregation often called "),a("em",[e._v("downsampling")]),e._v(" or "),a("em",[e._v("downscaling")]),e._v(".")]),e._v(" "),a("p",[e._v("When the target grid or time series has a lower resolution (larger grid cells) or lower frequency (longer time intervals) than the source grid, aggregation might be used for resampling. For example, if the resolutions are similar, (e.g. the source collection provides 10 day intervals and the target needs values for 16 day intervals), then some form of interpolation may be more appropriate than aggregation as defined here.")]),e._v(" "),a("h2",{attrs:{id:"user-defined-function-udf"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#user-defined-function-udf"}},[e._v("#")]),e._v(" User-defined function (UDF)")]),e._v(" "),a("p",[e._v("The abbreviation "),a("strong",[e._v("UDF")]),e._v(" stands for "),a("strong",[e._v("user-defined function")]),e._v(". With this concept, users are able to upload custom code and have it executed e.g. for every pixel of a scene, or applied to a particular dimension or set of dimensions, allowing custom server-side calculations. See the section on "),a("RouterLink",{attrs:{to:"/documentation/0.4/udfs.html"}},[e._v("UDFs")]),e._v(" for more information.")],1),e._v(" "),a("h2",{attrs:{id:"data-processing-modes"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#data-processing-modes"}},[e._v("#")]),e._v(" Data Processing modes")]),e._v(" "),a("p",[e._v("Process graphs can be processed in three different ways:")]),e._v(" "),a("ol",[a("li",[e._v("Results can be pre-computed by creating a "),a("em",[a("strong",[e._v("batch job")])]),e._v(" using "),a("code",[e._v("POST /jobs")]),e._v(". They are submitted to the back-end's processing system, but will remain inactive until "),a("code",[e._v("POST /jobs/{job_id}/results")]),e._v(" has been called. They will run only once and store results after execution. Results can be downloaded. Batch jobs are typically time consuming and user interaction is not possible. This is the only mode that allows to get an estimate about time, volume and costs beforehand.")]),e._v(" "),a("li",[e._v("A more dynamic way of processing and accessing data is to create a "),a("strong",[e._v("secondary web service")]),e._v(". They allow web-based access using different protocols such as "),a("a",{attrs:{href:"http://www.opengeospatial.org/standards/wms",target:"_blank",rel:"noopener noreferrer"}},[e._v("OGC WMS"),a("OutboundLink")],1),e._v(" (Open Geospatial Consortium Web Map Service), "),a("a",{attrs:{href:"http://www.opengeospatial.org/standards/wcs",target:"_blank",rel:"noopener noreferrer"}},[e._v("OGC WCS"),a("OutboundLink")],1),e._v(" (Web Coverage Service) or "),a("a",{attrs:{href:"https://wiki.openstreetmap.org/wiki/Slippy_map_tilenames",target:"_blank",rel:"noopener noreferrer"}},[e._v("XYZ tiles"),a("OutboundLink")],1),e._v(". These protocols usually allow users to change the viewing extent or level of detail (zoom level). Therefore, computations often run "),a("em",[e._v("on demand")]),e._v(" so that the requested data is calculated during the request. Back-ends should make sure to cache processed data to avoid additional/high costs and reduce waiting times for the user.")]),e._v(" "),a("li",[e._v("Process graphs can also be executed "),a("strong",[e._v("on-demand")]),e._v(" (i.e. synchronously) by sending the process graph to "),a("code",[e._v("POST /result")]),e._v(". Results are delivered with the request itself and no job is created. Only lightweight computations, for example small previews, should be executed using this approach as timeouts are to be expected for "),a("a",{attrs:{href:"https://www.pubnub.com/blog/2014-12-01-http-long-polling/",target:"_blank",rel:"noopener noreferrer"}},[e._v("long-polling HTTP requests"),a("OutboundLink")],1),e._v(".")])])])}),[],!1,null,null,null);a.default=o.exports}}]); \ No newline at end of file diff --git a/assets/js/45.70ac253f.js b/assets/js/45.05249e4f.js similarity index 99% rename from assets/js/45.70ac253f.js rename to assets/js/45.05249e4f.js index 955ebeadc..1f81a4507 100644 --- a/assets/js/45.70ac253f.js +++ b/assets/js/45.05249e4f.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[45],{306:function(e,a,o){e.exports=o.p+"assets/img/processes.9a2105e4.png"},487:function(e,a,o){"use strict";o.r(a);var t=o(4),r=Object(t.a)({},(function(){var e=this,a=e._self._c;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"process-profiles"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#process-profiles"}},[e._v("#")]),e._v(" Process Profiles")]),e._v(" "),a("p",[e._v('The following image provides an overview of the openEO Processes profiles.\nThe minimal profile that allows an openEO implementation to be called "openEO-compliant" is '),a("em",[e._v("L1 Minimal")]),e._v(".")]),e._v(" "),a("figure",[a("img",{attrs:{src:o(306),alt:"The hierarchy of openEO Processes profiles: L1 Minimal -> L2 Recommended (with sub-profiles) -> L2A/B Raster/Vector -> L3 Advanced (with sub-profiles) -> L4 Above and Beyond"}}),e._v(" "),a("figcaption",[e._v("An overview of the openEO Processes profiles.")])]),e._v(" "),a("ul",[a("li",[a("em",[e._v("L1 Minimal")]),e._v(" ensures that the openEO implementation has a minimal set of functionality which allow users to execute basic use-cases.")]),e._v(" "),a("li",[a("em",[e._v("L2 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Please inform yourself which import is suited for your project.")]),t._v(" "),s("p",[t._v("This is usually used directly in Node.js:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("const")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v(" OpenEO "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("require")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v("'@openeo/js-client'")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("This may be used in build tools such as Webpack:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("import")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v(" OpenEO "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("from")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v("'@openeo/js-client'")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("Now that the installation was successfully finished, we can now connect to openEO compliant back-ends.\nIn the following chapters we quickly walk through the main features of the JavaScript client.")]),t._v(" "),s("p",[t._v("If you have trouble installing the client, feel free to "),s("RouterLink",{attrs:{to:"/contact.html"}},[t._v("contact us")]),t._v(" or leave an issue at the "),s("a",{attrs:{href:"https://github.com/Open-EO/openeo-js-client/issues",target:"_blank",rel:"noopener noreferrer"}},[t._v("GitHub project"),s("OutboundLink")],1),t._v(".")],1),t._v(" "),s("h2",{attrs:{id:"exploring-a-back-end"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#exploring-a-back-end"}},[t._v("#")]),t._v(" Exploring a back-end")]),t._v(" "),s("p",[t._v("If you do not know an openEO back-end that you want to connect to yet, you can have a look at the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(", to find all known back-ends with information on their capabilities.")]),t._v(" "),s("p",[t._v("For this tutorial we will use the openEO instance of Google Earth Engine, which is available at "),s("code",[t._v("https://earthengine.openeo.org")]),t._v(".\nNote that the code snippets in this guide works the same way for the other back-ends listed in the openEO Hub. Just the collection identifier and band names might differ.")]),t._v(" "),s("p",[t._v("First we need to establish a connection to the back-end.")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" con "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),s("p",[t._v("The JavaScript client uses "),s("a",{attrs:{href:"https://medium.com/jspoint/javascript-promises-and-async-await-as-fast-as-possible-d7c8c8ff0abc",target:"_blank",rel:"noopener noreferrer"}},[t._v("Promises (async/await)"),s("OutboundLink")],1),t._v(". So there are two ways to express the code above:")]),t._v(" "),s("p",[t._v("Promises:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("then")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("function")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("con")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Success")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("catch")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("function")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("error")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Error")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("async/await:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("try")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" con "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Success")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("catch")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("error"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Error")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v("\n")])])]),s("p",[t._v("To simplify the code here, we use async/await in all examples and don't catch errors. So we assume you run the code in an async function and also in a try/catch block.")])]),t._v(" "),s("p",[t._v("After establishing the connection to the back-end, it can be explored using the "),s("a",{attrs:{href:"https://open-eo.github.io/openeo-js-client/latest/Connection.html",target:"_blank",rel:"noopener noreferrer"}},[t._v("Connection object"),s("OutboundLink")],1),t._v(" returned. 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You can print some of these information to the console as follows:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"API Version: "')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" info"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("apiVersion")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nconsole"),s("span",{pre:!0,attrs:{class:"token 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punctuation"}},[t._v("${")]),t._v("link"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("title"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("link"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("href"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("h3",{attrs:{id:"collections"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#collections"}},[t._v("#")]),t._v(" Collections")]),t._v(" "),s("p",[t._v("Collections represent the basic data the back-end provides (e.g. Sentinel 2 collection).\nCollections are used as input data for job executions ("),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#eo-data-collections"}},[t._v("more info on collections")]),t._v(").\nWith the following code snippet you can print all 400+ available collection names and their summary.")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Available Collections:"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" response "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("listCollections")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nresponse"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("collections"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("forEach")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("collection")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=>")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token template-string"}},[s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("collection"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("id"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("collection"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("summary"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("To get detailed information about a single collection, you can pass any of the collection IDs requested earlier to "),s("code",[t._v("describeCollection")]),t._v(" and get a full object of "),s("a",{attrs:{href:"https://github.com/radiantearth/stac-spec/tree/v1.0.0/collection-spec/collection-spec.md",target:"_blank",rel:"noopener noreferrer"}},[t._v("STAC compliant Collection metadata"),s("OutboundLink")],1),t._v(" back.\nIn this example we request information about the Sentinel-2 Level 1C data from Google:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("describeCollection")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"COPERNICUS/S2"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("The collections descriptions returned by "),s("code",[t._v("listCollections")]),t._v(" are usually not complete. To get the full set of metadata you should always use "),s("code",[t._v("describeCollection")]),t._v(".")]),t._v(" "),s("h3",{attrs:{id:"processes"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#processes"}},[t._v("#")]),t._v(" Processes")]),t._v(" "),s("p",[t._v("Processes in openEO are small tasks that can be applied on (EO) data.\nThe input of a process might be the output of another process, so that several connected processes form a new (user-defined) process itself.\nTherefore, a process resembles the smallest unit of task descriptions in openEO ("),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[t._v("more details on processes")]),t._v(").\nWith the following code snippet you can print all available process IDs and their summaries.")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Available Collections:"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" response "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("listProcesses")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nresponse"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("processes"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("forEach")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("process")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=>")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token template-string"}},[s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("process"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("id"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("process"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("summary"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("In contrast to the collections, the process descriptions returned by "),s("code",[t._v("listProcesses")]),t._v(" are complete.\nThere's no need to call "),s("code",[t._v("describeProcess")]),t._v(" to get the full set of metadata.\n"),s("code",[t._v("describeProcess")]),t._v(" is just a convenience function to get a single process from "),s("code",[t._v("listProcesses")]),t._v(".\nIn this example we request the process specification for the "),s("code",[t._v("apply")]),t._v(" process:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("describeProcess")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"apply"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("For a graphical overview of the openEO processes, there is an "),s("RouterLink",{attrs:{to:"/documentation/1.0/processes.html"}},[t._v("online documentation")]),t._v(" for general process descriptions and the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(" for back-end specific process descriptions.")],1),t._v(" "),s("h2",{attrs:{id:"authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#authentication"}},[t._v("#")]),t._v(" Authentication")]),t._v(" "),s("p",[t._v("In the code snippets above, authentication is usually not necessary, since we only fetch general information about the back-end.\nTo run your own jobs at the back-end or to access job results, you need to authenticate at the back-end.")]),t._v(" "),s("p",[t._v("Depending on the back-end, there might be two different approaches to authenticate.\nYou need to inform yourself at your back-end provider of choice, which authentication approach you have to carry out.\nYou can also have a look at the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(" to see the available authentication types of the back-ends.")]),t._v(" "),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Recommendation")]),t._v(" "),s("p",[t._v("The Google Earth Engine implementation for openEO only supports Basic authentication, but generally the preferred authentication method is "),s("a",{attrs:{href:"#openid-connect-authentication"}},[t._v("OpenID Connect")]),t._v(" due to better security mechanisms implemented in the OpenID Connect protocol.")])]),t._v(" "),s("h3",{attrs:{id:"basic-authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#basic-authentication"}},[t._v("#")]),t._v(" Basic Authentication")]),t._v(" "),s("p",[t._v("The Basic authentication method is a common way of authenticate HTTP requests given username and password.")]),t._v(" "),s("p",[t._v("The following code snippet shows how to log in via Basic authentication:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("authenticateBasic")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"username"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"password"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),s("p",[t._v("You can get username and password here: "),s("a",{attrs:{href:"https://github.com/Open-EO/openeo-earthengine-driver#demo",target:"_blank",rel:"noopener noreferrer"}},[t._v("https://github.com/Open-EO/openeo-earthengine-driver#demo"),s("OutboundLink")],1)])]),t._v(" "),s("p",[t._v("After successfully calling the "),s("code",[t._v("authenticateBasic")]),t._v(" method, you are logged into the back-end with your account.\nThis means, that every call that comes after that via the "),s("code",[t._v("con")]),t._v(" variable is executed by your user account.")]),t._v(" "),s("h3",{attrs:{id:"openid-connect-authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#openid-connect-authentication"}},[t._v("#")]),t._v(" OpenID Connect Authentication")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),s("p",[t._v("For Google Earth Engine, only "),s("a",{attrs:{href:"#basic-authentication"}},[t._v("Basic Authentication")]),t._v(" is supported at the moment.")])]),t._v(" "),s("p",[t._v("The OIDC ("),s("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[t._v("OpenID Connect"),s("OutboundLink")],1),t._v(") authentication can be used to authenticate via an external service given a client ID.")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("Important")]),t._v(" "),s("p",[t._v("If you have included the library using HTML "),s("code",[t._v("script")]),t._v(" tags, then you need to include the following OIDC client before the openEO client:")]),t._v(" "),s("div",{staticClass:"language-html extra-class"},[s("pre",{pre:!0,attrs:{class:"language-html"}},[s("code",[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("<")]),t._v("script")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token attr-name"}},[t._v("src")]),s("span",{pre:!0,attrs:{class:"token attr-value"}},[s("span",{pre:!0,attrs:{class:"token punctuation attr-equals"}},[t._v("=")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')]),t._v("https://cdn.jsdelivr.net/npm/oidc-client@1/lib/oidc-client.min.js"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(">")])]),s("span",{pre:!0,attrs:{class:"token script"}}),s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("")])]),t._v("\n")])])]),s("p",[t._v("No further action is required, if you have installed the client via npm.")])]),t._v(" "),s("p",[t._v("As OpenID Connect authentication is a bit more complex and depends on the environment your are using it in, please refer to the "),s("a",{attrs:{href:"https://open-eo.github.io/openeo-js-client/latest/OidcProvider.html",target:"_blank",rel:"noopener noreferrer"}},[t._v("JavaScript client documentation"),s("OutboundLink")],1),t._v(" for more information.")]),t._v(" "),s("h2",{attrs:{id:"creating-a-user-defined-process"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#creating-a-user-defined-process"}},[t._v("#")]),t._v(" Creating a (user-defined) process")]),t._v(" "),s("p",[t._v("Now that we know how to discover the back-end and how to authenticate, lets continue by creating a new batch job to process some data.\nFirst we need to create a user-defined process and for that a process builder is the easiest method.")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" builder "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("buildProcess")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("With the builder, a "),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#spatial-datacubes"}},[t._v("datacube")]),t._v(" can be initialized by selecting a collection from the back-end with the process "),s("code",[t._v("load_collection")]),t._v(":")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" datacube "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" builder"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("load_collection")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"COPERNICUS/S1_GRD"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token 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Synchronous processing means the result is directly returned in the response, which usually works only for smaller amounts of data.")]),t._v(" "),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Use Case")]),t._v(" "),s("p",[t._v("We want to produce a monthly RGB composite of Sentinel 1 backscatter data over the area of Vienna, Austria for three\nmonths in 2017. This can be used for classification and crop monitoring.")])]),t._v(" "),s("p",[t._v("In the following code example, we use inline code comments to describe what we are doing.")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),s("p",[t._v("The username and password in the example above work at the time of writing, but may be invalid at the time you read this. 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If you'd like a better development experience, use the following code:")]),t._v(" "),s("div",{staticClass:"language-html extra-class"},[s("pre",{pre:!0,attrs:{class:"language-html"}},[s("code",[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("<")]),t._v("script")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token attr-name"}},[t._v("src")]),s("span",{pre:!0,attrs:{class:"token attr-value"}},[s("span",{pre:!0,attrs:{class:"token punctuation attr-equals"}},[t._v("=")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')]),t._v("https://cdn.jsdelivr.net/npm/axios@0.21/dist/axios.js"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(">")])]),s("span",{pre:!0,attrs:{class:"token script"}}),s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("")])]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("<")]),t._v("script")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token attr-name"}},[t._v("src")]),s("span",{pre:!0,attrs:{class:"token attr-value"}},[s("span",{pre:!0,attrs:{class:"token punctuation attr-equals"}},[t._v("=")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')]),t._v("https://cdn.jsdelivr.net/npm/@openeo/js-client@2/openeo.js"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(">")])]),s("span",{pre:!0,attrs:{class:"token script"}}),s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("")])]),t._v("\n")])])]),s("p",[t._v("If you are working on a Node.js application or you are using a Node.js-based build tool for web development (e.g. Webpack), you can install the client via "),s("a",{attrs:{href:"https://npmjs.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("npm"),s("OutboundLink")],1),t._v(" by using the following command:")]),t._v(" "),s("div",{staticClass:"language-shell script extra-class"},[s("pre",{pre:!0,attrs:{class:"language-shell"}},[s("code",[s("span",{pre:!0,attrs:{class:"token function"}},[t._v("npm")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("install")]),t._v(" @openeo/js-client\n")])])]),s("p",[t._v("Afterwards you can load the library. Depending on whether you are directly working in Node.js or are just using a Node.js build tool, the import can be different. Please inform yourself which import is suited for your project.")]),t._v(" "),s("p",[t._v("This is usually used directly in Node.js:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("const")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v(" OpenEO "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("require")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v("'@openeo/js-client'")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("This may be used in build tools such as Webpack:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("import")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v(" OpenEO "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("from")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v("'@openeo/js-client'")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("Now that the installation was successfully finished, we can now connect to openEO compliant back-ends.\nIn the following chapters we quickly walk through the main features of the JavaScript client.")]),t._v(" "),s("p",[t._v("If you have trouble installing the client, feel free to "),s("RouterLink",{attrs:{to:"/contact.html"}},[t._v("contact us")]),t._v(" or leave an issue at the "),s("a",{attrs:{href:"https://github.com/Open-EO/openeo-js-client/issues",target:"_blank",rel:"noopener noreferrer"}},[t._v("GitHub project"),s("OutboundLink")],1),t._v(".")],1),t._v(" "),s("h2",{attrs:{id:"exploring-a-back-end"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#exploring-a-back-end"}},[t._v("#")]),t._v(" Exploring a back-end")]),t._v(" "),s("p",[t._v("If you do not know an openEO back-end that you want to connect to yet, you can have a look at the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(", to find all known back-ends with information on their capabilities.")]),t._v(" "),s("p",[t._v("For this tutorial we will use the openEO instance of Google Earth Engine, which is available at "),s("code",[t._v("https://earthengine.openeo.org")]),t._v(".\nNote that the code snippets in this guide works the same way for the other back-ends listed in the openEO Hub. Just the collection identifier and band names might differ.")]),t._v(" "),s("p",[t._v("First we need to establish a connection to the back-end.")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" con "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),s("p",[t._v("The JavaScript client uses "),s("a",{attrs:{href:"https://medium.com/jspoint/javascript-promises-and-async-await-as-fast-as-possible-d7c8c8ff0abc",target:"_blank",rel:"noopener noreferrer"}},[t._v("Promises (async/await)"),s("OutboundLink")],1),t._v(". So there are two ways to express the code above:")]),t._v(" "),s("p",[t._v("Promises:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("then")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("function")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("con")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Success")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("catch")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("function")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("error")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Error")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("async/await:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("try")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" con "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" OpenEO"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("connect")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"https://earthengine.openeo.org"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Success")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("catch")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("error"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token comment"}},[t._v("// Error")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),t._v("\n")])])]),s("p",[t._v("To simplify the code here, we use async/await in all examples and don't catch errors. So we assume you run the code in an async function and also in a try/catch block.")])]),t._v(" "),s("p",[t._v("After establishing the connection to the back-end, it can be explored using the "),s("a",{attrs:{href:"https://open-eo.github.io/openeo-js-client/latest/Connection.html",target:"_blank",rel:"noopener noreferrer"}},[t._v("Connection object"),s("OutboundLink")],1),t._v(" returned. 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You can print some of these information to the console as follows:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"API Version: "')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" info"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("apiVersion")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nconsole"),s("span",{pre:!0,attrs:{class:"token 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punctuation"}},[t._v("${")]),t._v("link"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("title"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("link"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("href"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("h3",{attrs:{id:"collections"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#collections"}},[t._v("#")]),t._v(" Collections")]),t._v(" "),s("p",[t._v("Collections represent the basic data the back-end provides (e.g. Sentinel 2 collection).\nCollections are used as input data for job executions ("),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#eo-data-collections"}},[t._v("more info on collections")]),t._v(").\nWith the following code snippet you can print all 400+ available collection names and their summary.")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Available Collections:"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" response "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("listCollections")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nresponse"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("collections"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("forEach")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("collection")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=>")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token template-string"}},[s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("collection"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("id"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("collection"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("summary"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("To get detailed information about a single collection, you can pass any of the collection IDs requested earlier to "),s("code",[t._v("describeCollection")]),t._v(" and get a full object of "),s("a",{attrs:{href:"https://github.com/radiantearth/stac-spec/tree/v1.0.0/collection-spec/collection-spec.md",target:"_blank",rel:"noopener noreferrer"}},[t._v("STAC compliant Collection metadata"),s("OutboundLink")],1),t._v(" back.\nIn this example we request information about the Sentinel-2 Level 1C data from Google:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("describeCollection")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"COPERNICUS/S2"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("The collections descriptions returned by "),s("code",[t._v("listCollections")]),t._v(" are usually not complete. To get the full set of metadata you should always use "),s("code",[t._v("describeCollection")]),t._v(".")]),t._v(" "),s("h3",{attrs:{id:"processes"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#processes"}},[t._v("#")]),t._v(" Processes")]),t._v(" "),s("p",[t._v("Processes in openEO are small tasks that can be applied on (EO) data.\nThe input of a process might be the output of another process, so that several connected processes form a new (user-defined) process itself.\nTherefore, a process resembles the smallest unit of task descriptions in openEO ("),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[t._v("more details on processes")]),t._v(").\nWith the following code snippet you can print all available process IDs and their summaries.")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Available Collections:"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" response "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("listProcesses")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\nresponse"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("processes"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("forEach")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token parameter"}},[t._v("process")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=>")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),t._v("\n console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token template-string"}},[s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("process"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("id"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v(": ")]),s("span",{pre:!0,attrs:{class:"token interpolation"}},[s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("${")]),t._v("process"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("summary"),s("span",{pre:!0,attrs:{class:"token interpolation-punctuation punctuation"}},[t._v("}")])]),s("span",{pre:!0,attrs:{class:"token template-punctuation string"}},[t._v("`")])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("In contrast to the collections, the process descriptions returned by "),s("code",[t._v("listProcesses")]),t._v(" are complete.\nThere's no need to call "),s("code",[t._v("describeProcess")]),t._v(" to get the full set of metadata.\n"),s("code",[t._v("describeProcess")]),t._v(" is just a convenience function to get a single process from "),s("code",[t._v("listProcesses")]),t._v(".\nIn this example we request the process specification for the "),s("code",[t._v("apply")]),t._v(" process:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[t._v("console"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("log")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("describeProcess")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"apply"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("For a graphical overview of the openEO processes, there is an "),s("RouterLink",{attrs:{to:"/documentation/1.0/processes.html"}},[t._v("online documentation")]),t._v(" for general process descriptions and the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(" for back-end specific process descriptions.")],1),t._v(" "),s("h2",{attrs:{id:"authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#authentication"}},[t._v("#")]),t._v(" Authentication")]),t._v(" "),s("p",[t._v("In the code snippets above, authentication is usually not necessary, since we only fetch general information about the back-end.\nTo run your own jobs at the back-end or to access job results, you need to authenticate at the back-end.")]),t._v(" "),s("p",[t._v("Depending on the back-end, there might be two different approaches to authenticate.\nYou need to inform yourself at your back-end provider of choice, which authentication approach you have to carry out.\nYou can also have a look at the "),s("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),s("OutboundLink")],1),t._v(" to see the available authentication types of the back-ends.")]),t._v(" "),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Recommendation")]),t._v(" "),s("p",[t._v("The Google Earth Engine implementation for openEO only supports Basic authentication, but generally the preferred authentication method is "),s("a",{attrs:{href:"#openid-connect-authentication"}},[t._v("OpenID Connect")]),t._v(" due to better security mechanisms implemented in the OpenID Connect protocol.")])]),t._v(" "),s("h3",{attrs:{id:"basic-authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#basic-authentication"}},[t._v("#")]),t._v(" Basic Authentication")]),t._v(" "),s("p",[t._v("The Basic authentication method is a common way of authenticate HTTP requests given username and password.")]),t._v(" "),s("p",[t._v("The following code snippet shows how to log in via Basic authentication:")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("authenticateBasic")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"username"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"password"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),s("p",[t._v("You can get username and password here: "),s("a",{attrs:{href:"https://github.com/Open-EO/openeo-earthengine-driver#demo",target:"_blank",rel:"noopener noreferrer"}},[t._v("https://github.com/Open-EO/openeo-earthengine-driver#demo"),s("OutboundLink")],1)])]),t._v(" "),s("p",[t._v("After successfully calling the "),s("code",[t._v("authenticateBasic")]),t._v(" method, you are logged into the back-end with your account.\nThis means, that every call that comes after that via the "),s("code",[t._v("con")]),t._v(" variable is executed by your user account.")]),t._v(" "),s("h3",{attrs:{id:"openid-connect-authentication"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#openid-connect-authentication"}},[t._v("#")]),t._v(" OpenID Connect Authentication")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),s("p",[t._v("For Google Earth Engine, only "),s("a",{attrs:{href:"#basic-authentication"}},[t._v("Basic Authentication")]),t._v(" is supported at the moment.")])]),t._v(" "),s("p",[t._v("The OIDC ("),s("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[t._v("OpenID Connect"),s("OutboundLink")],1),t._v(") authentication can be used to authenticate via an external service given a client ID.")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("Important")]),t._v(" "),s("p",[t._v("If you have included the library using HTML "),s("code",[t._v("script")]),t._v(" tags, then you need to include the following OIDC client before the openEO client:")]),t._v(" "),s("div",{staticClass:"language-html extra-class"},[s("pre",{pre:!0,attrs:{class:"language-html"}},[s("code",[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("<")]),t._v("script")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token attr-name"}},[t._v("src")]),s("span",{pre:!0,attrs:{class:"token attr-value"}},[s("span",{pre:!0,attrs:{class:"token punctuation attr-equals"}},[t._v("=")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')]),t._v("https://cdn.jsdelivr.net/npm/oidc-client@1/lib/oidc-client.min.js"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v('"')])]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(">")])]),s("span",{pre:!0,attrs:{class:"token script"}}),s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token tag"}},[s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("")])]),t._v("\n")])])]),s("p",[t._v("No further action is required, if you have installed the client via npm.")])]),t._v(" "),s("p",[t._v("As OpenID Connect authentication is a bit more complex and depends on the environment your are using it in, please refer to the "),s("a",{attrs:{href:"https://open-eo.github.io/openeo-js-client/latest/OidcProvider.html",target:"_blank",rel:"noopener noreferrer"}},[t._v("JavaScript client documentation"),s("OutboundLink")],1),t._v(" for more information.")]),t._v(" "),s("h2",{attrs:{id:"creating-a-user-defined-process"}},[s("a",{staticClass:"header-anchor",attrs:{href:"#creating-a-user-defined-process"}},[t._v("#")]),t._v(" Creating a (user-defined) process")]),t._v(" "),s("p",[t._v("Now that we know how to discover the back-end and how to authenticate, lets continue by creating a new batch job to process some data.\nFirst we need to create a user-defined process and for that a process builder is the easiest method.")]),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" builder "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" "),s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("await")]),t._v(" con"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("buildProcess")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(";")]),t._v("\n")])])]),s("p",[t._v("With the builder, a "),s("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#spatial-datacubes"}},[t._v("datacube")]),t._v(" can be initialized by selecting a collection from the back-end with the process "),s("code",[t._v("load_collection")]),t._v(":")],1),t._v(" "),s("div",{staticClass:"language-js extra-class"},[s("pre",{pre:!0,attrs:{class:"language-js"}},[s("code",[s("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("var")]),t._v(" datacube "),s("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" builder"),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),s("span",{pre:!0,attrs:{class:"token function"}},[t._v("load_collection")]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token string"}},[t._v('"COPERNICUS/S1_GRD"')]),s("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n "),s("span",{pre:!0,attrs:{class:"token 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Synchronous processing means the result is directly returned in the response, which usually works only for smaller amounts of data.")]),t._v(" "),s("div",{staticClass:"custom-block tip"},[s("p",{staticClass:"custom-block-title"},[t._v("Use Case")]),t._v(" "),s("p",[t._v("We want to produce a monthly RGB composite of Sentinel 1 backscatter data over the area of Vienna, Austria for three\nmonths in 2017. This can be used for classification and crop monitoring.")])]),t._v(" "),s("p",[t._v("In the following code example, we use inline code comments to describe what we are doing.")]),t._v(" "),s("div",{staticClass:"custom-block warning"},[s("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),s("p",[t._v("The username and password in the example above work at the time of writing, but may be invalid at the time you read this. 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object"),e("OutboundLink")],1),t._v("\nis your central gateway to")]),t._v(" "),e("ul",[e("li",[t._v("list data collections, available processes, file formats and other capabilities of the back-end")]),t._v(" "),e("li",[t._v("start building your openEO algorithm from the desired data on the back-end")]),t._v(" "),e("li",[t._v("execute and monitor (batch) jobs on the back-end")]),t._v(" "),e("li",[t._v("etc.")])]),t._v(" "),e("h3",{attrs:{id:"collections"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#collections"}},[t._v("#")]),t._v(" Collections")]),t._v(" "),e("p",[t._v('The EO data available at a back-end is organised in so-called collections.\nFor example, a back-end might provide fundamental satellite collections like "Sentinel 1" or "Sentinel 2",\nor preprocessed collections like "NDVI".\nCollections are used as input data for your openEO jobs.')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),e("p",[t._v('More information on how openEO "collections" relate to terminology used in other systems can be found in\n('),e("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#eo-data-collections"}},[t._v("the openEO glossary")]),t._v(").")],1)]),t._v(" "),e("p",[t._v("Let's list all available collections on the back-end,\nusing "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.list_collections",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("list_collections")]),e("OutboundLink")],1),t._v(":")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("connection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("list_collections"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("which returns list of collection metadata dictionaries, e.g. something like:")]),t._v(" "),e("div",{staticClass:"language- extra-class"},[e("pre",{pre:!0,attrs:{class:"language-text"}},[e("code",[t._v("[{'id': 'AGERA5', 'title': 'ECMWF AGERA5 meteo dataset', 'description': 'Daily surface meteorolociga datal ...', ...},\n {'id': 'SENTINEL2_L2A_SENTINELHUB', 'title': 'Sentinel-2 top of canopy', ...},\n {'id': 'SENTINEL1_GRD', ...},\n ...]\n")])])]),e("p",[t._v("This listing includes basic metadata for each collection.\nIf necessary, a more detailed metadata listing for a given collection can be obtained with\n"),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.describe_collection",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("describe_collection")]),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("Programmatically listing collections is just a very simple usage example of the Python client.\nIn reality, you probably want to look up or inspect available collections in a web based overview such as the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(".")])]),t._v(" "),e("h3",{attrs:{id:"processes"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#processes"}},[t._v("#")]),t._v(" Processes")]),t._v(" "),e("p",[t._v('Processes in openEO are operations that can be applied on (EO) data\n(e.g. calculate the mean of an array, or mask out observations outside a given polygon).\nThe output of one process can be used as the input of another process,\nand by doing so, multiple processes can be connected that way in a larger "process graph":\na new (user-defined) processes that implements a certain algorithm.')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),e("p",[t._v("Check "),e("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[t._v("the openEO glossary")]),t._v("\nfor more details on pre-defined, user-defined processes and process graphs.")],1)]),t._v(" "),e("p",[t._v("Let's list the (pre-defined) processes available on the back-end\nwith "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.list_processes",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("list_processes")]),e("OutboundLink")],1),t._v(":")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("connection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("list_processes"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("which returns a list of dictionaries describing the process (including expected arguments and return type), e.g.:")]),t._v(" "),e("div",{staticClass:"language- extra-class"},[e("pre",{pre:!0,attrs:{class:"language-text"}},[e("code",[t._v("[{'id': 'absolute', 'summary': 'Absolute value', 'description': 'Computes the absolute value of a real number `x`, which is th...', \n {'id': 'mean', 'summary': 'Arithmetic mean(average)', ...}\n ...]\n")])])]),e("p",[t._v("Like with collections, instead of programmatic exploration you'll probably prefer a web-based overview such as the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(" for back-end specific process descriptions\nor browse the "),e("a",{attrs:{href:"https://processes.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("reference specifications of openEO processes"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("h2",{attrs:{id:"authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#authentication"}},[t._v("#")]),t._v(" Authentication")]),t._v(" "),e("p",[t._v("In the code snippets above we did not need to log in\nsince we just queried publicly available back-end information.\nHowever, to run non-trivial processing queries one has to authenticate\nso that permissions, resource usage, etc. can be managed properly.")]),t._v(" "),e("p",[t._v("Depending on the back-end, there might be two different approaches to authenticate.\nYou need to inform yourself at your back-end provider of choice, which authentication approach you have to carry out.\nYou can also have a look at the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(" to see the available authentication types of the back-ends.")]),t._v(" "),e("p",[t._v("A detailed description of why and how to use the authentication methods is on the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/auth.html#authentication-and-account-management",target:"_blank",rel:"noopener noreferrer"}},[t._v("official documentation"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Recommendation")]),t._v(" "),e("p",[t._v("The Google Earth Engine implementation for openEO only supports Basic authentication, but generally the preferred authentication method is "),e("a",{attrs:{href:"#openid-connect-authentication"}},[t._v("OpenID Connect")]),t._v(" due to better security mechanisms implemented in the OpenID Connect protocol.")])]),t._v(" "),e("h3",{attrs:{id:"basic-authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#basic-authentication"}},[t._v("#")]),t._v(" Basic Authentication")]),t._v(" "),e("p",[t._v("The Basic authentication method is a common way of authenticate HTTP requests given username and password.")]),t._v(" "),e("p",[t._v("The following code snippet shows how to log in via Basic authentication:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Authenticate with Basic authentication"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\nconnection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("authenticate_basic"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"username"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"password"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("You can get username and password here: "),e("a",{attrs:{href:"https://github.com/Open-EO/openeo-earthengine-driver#demo",target:"_blank",rel:"noopener noreferrer"}},[t._v("https://github.com/Open-EO/openeo-earthengine-driver#demo"),e("OutboundLink")],1)])]),t._v(" "),e("p",[t._v("After successfully calling the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.authenticate_basic",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("authenticate_basic")]),e("OutboundLink")],1),t._v(" method, you are logged into the back-end with your account.")]),t._v(" "),e("p",[t._v("This means, that every call that comes after that via the connection variable is executed by your user account.")]),t._v(" "),e("h3",{attrs:{id:"openid-connect-authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#openid-connect-authentication"}},[t._v("#")]),t._v(" OpenID Connect Authentication")]),t._v(" "),e("div",{staticClass:"custom-block warning"},[e("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),e("p",[t._v("For Google Earth Engine, only "),e("a",{attrs:{href:"#basic-authentication"}},[t._v("Basic Authentication")]),t._v(" is supported at the moment.")])]),t._v(" "),e("p",[t._v("The OIDC ("),e("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[t._v("OpenID Connect"),e("OutboundLink")],1),t._v(") authentication can be used to authenticate via an external service given a client ID.\nThe following code snippet shows how to log in via OIDC authentication:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Authenticate with OIDC authentication"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\nconnection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("authenticate_oidc"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("Calling this method opens your system web browser, with which you can authenticate yourself on the back-end authentication system.\nAfter that the website will give you the instructions to go back to the python client, where your connection has logged your account in.\nThis means that every call that comes after that via the connection variable is executed by your user account.")]),t._v(" "),e("h2",{attrs:{id:"working-with-datacube"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#working-with-datacube"}},[t._v("#")]),t._v(" Working with Datacube")]),t._v(" "),e("p",[t._v("Now that we know how to discover the capabilities of the back-end and how to authenticate,\nlet's do some real work and process some EO data in a batch job.\nWe'll build the desired algorithm by working on so-called \"Datacubes\",\nwhich is the central concept in openEO to represent EO data,\nas "),e("RouterLink",{attrs:{to:"/documentation/1.0/datacubes.html"}},[t._v("discussed in great detail here")]),t._v(".")],1),t._v(" "),e("h3",{attrs:{id:"creating-a-datacube"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#creating-a-datacube"}},[t._v("#")]),t._v(" Creating a Datacube")]),t._v(" "),e("p",[t._v("The first step is loading the desired slice of a data collection\nwith "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.load_collection",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Connection.load_collection")]),e("OutboundLink")],1),t._v(":")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" connection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("load_collection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("\n "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"SENTINEL1_GRD"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n spatial_extent"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"west"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"south"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"east"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.65")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"north"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.35")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n temporal_extent"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-03-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-04-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n bands"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VV"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VH"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),t._v("\n"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("This results in a "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Datacube")]),t._v(" object"),e("OutboundLink")],1),t._v('\ncontaining the "SENTINEL1_GRD" data restricted to the given spatial extent,\nthe given temporal extend and the given bands .')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("You can also filter the datacube step by step or at a later stage by using the following filter methods:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_bbox"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("west"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" south"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" east"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.65")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" north"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.35")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\ndatacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_temporal"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("start_date"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-03-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" end_date"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-04-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\ndatacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_bands"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VV"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VH"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("Still, it is recommended to always use the filters directly in "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.load_collection",target:"_blank",rel:"noopener noreferrer"}},[t._v("load_collection"),e("OutboundLink")],1),t._v("\nto avoid loading too much data upfront.")])]),t._v(" "),e("h3",{attrs:{id:"applying-processes"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#applying-processes"}},[t._v("#")]),t._v(" Applying processes")]),t._v(" "),e("p",[t._v("By applying an openEO process on a datacube, we create a new datacube object that represents the manipulated data.\nThe standard way to do this with the Python client is to call the appropriate "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Datacube")]),t._v(" object"),e("OutboundLink")],1),t._v(" method.\nThe most common or popular openEO processes have a dedicated "),e("code",[t._v("Datacube")]),t._v(" method (e.g. "),e("code",[t._v("mask")]),t._v(", "),e("code",[t._v("aggregate_spatial")]),t._v(", "),e("code",[t._v("filter_bbox")]),t._v(", ...).\nOther processes without a dedicated method can still be applied in a generic way.\nAn on top of that, there are also some convenience methods that implement\nopenEO processes is a compact, Pythonic interface.")]),t._v(" "),e("p",[t._v("For example, the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube.min_time",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("min_time")]),e("OutboundLink")],1),t._v(" method\nimplements a "),e("code",[t._v("reduce_dimension")]),t._v(" process along the temporal dimension, using the "),e("code",[t._v("min")]),t._v(" process as reducer function:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("min_time"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("This creates a new datacube (we overwrite the existing variable),\nwhere the time dimension is eliminated and for each pixel we just have\nthe minimum value of the corresponding timeseries in the original datacube.")]),t._v(" "),e("p",[t._v("See the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[t._v("Python client "),e("code",[t._v("Datacube")]),t._v(" API"),e("OutboundLink")],1),t._v(" for a more complete listing of methods that implement openEO processes.")]),t._v(" "),e("p",[t._v("openEO processes that are not supported by a dedicated "),e("code",[t._v("Datacube")]),t._v(" method\ncan be applied in a generic way with the 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noreferrer"}},[e("code",[t._v("ndvi")]),t._v(" process"),e("OutboundLink")],1),t._v(' to the datacube with the arguments of "data", "nir" and "red" (This example assumes a datacube with bands '),e("code",[t._v("B8")]),t._v(" and "),e("code",[t._v("B4")]),t._v(").")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),e("p",[t._v("Still unsure on how to make use of processes with the Python client?\nVisit the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/processes.html#working-with-processes",target:"_blank",rel:"noopener noreferrer"}},[t._v("official documentation on working with processes"),e("OutboundLink")],1),t._v(".")])]),t._v(" "),e("h3",{attrs:{id:"defining-output-format"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#defining-output-format"}},[t._v("#")]),t._v(" Defining output format")]),t._v(" "),e("p",[t._v("After applying all processes you want to execute, we need to tell the back-end to export the datacube, for example as GeoTiff:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("result "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("save_result"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"GTiff"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("h2",{attrs:{id:"execution"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#execution"}},[t._v("#")]),t._v(" Execution")]),t._v(" "),e("p",[t._v("It's important to note that all the datacube processes we applied up to this point\nare not actually executed yet, neither locally nor remotely on the back-end.\nWe just built an abstract representation of the algorithm (input data and processing chain),\nencapsulated in a local "),e("code",[t._v("Datacube")]),t._v(" object (e.g. the "),e("code",[t._v("result")]),t._v(" variable above).\nTo trigger an actual execution (on the back-end) we have to explicitly send this representation\nto the back-end.")]),t._v(" "),e("p",[t._v("openEO defines "),e("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#data-processing-modes"}},[t._v("several processing modes")]),t._v(",\nbut for this introduction we'll focus on batch jobs, which is a good default choice.")],1),t._v(" "),e("h3",{attrs:{id:"batch-job-execution"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#batch-job-execution"}},[t._v("#")]),t._v(" Batch job execution")]),t._v(" "),e("p",[t._v("The "),e("code",[t._v("result")]),t._v(" datacube object we built above describes the desired input collections, processing steps and output format.\nWe can now just send this description to the back-end to create a batch job with the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube.create_job",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("create_job")]),t._v(" method"),e("OutboundLink")],1),t._v(" like this:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token comment"}},[t._v("# Creating a new job at the back-end by sending the datacube information.")]),t._v("\njob "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" result"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("create_job"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("The batch job, which is referenced by the returned "),e("code",[t._v("job")]),t._v(" object, is just created at the back-end,\nit is not started 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management"),e("OutboundLink")],1)])]),t._v(" "),e("h2",{attrs:{id:"full-example"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#full-example"}},[t._v("#")]),t._v(" Full Example")]),t._v(" "),e("p",[t._v("In this chapter we will show a full example of an earth observation use case using the Python client and the Google Earth Engine back-end.")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Use Case")]),t._v(" "),e("p",[t._v("We want to produce a monthly RGB composite of Sentinel 1 backscatter data over the area of Vienna, Austria for three\nmonths in 2017. 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\ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[47],{190:function(t,e,a){t.exports=a.p+"assets/img/getting-started-result-example.7820ee84.jpg"},490:function(t,e,a){"use strict";a.r(e);var n=a(4),s=Object(n.a)({},(function(){var t=this,e=t._self._c;return e("ContentSlotsDistributor",{attrs:{"slot-key":t.$parent.slotKey}},[e("h1",{attrs:{id:"python-client"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#python-client"}},[t._v("#")]),t._v(" Python Client")]),t._v(" "),e("p",[t._v("This Getting Started guide will give you just a simple overview of the capabilities of the openEO Python client library.\nMore in-depth information can be found in its "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/",target:"_blank",rel:"noopener noreferrer"}},[t._v("official documentation"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("h2",{attrs:{id:"installation"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#installation"}},[t._v("#")]),t._v(" Installation")]),t._v(" "),e("p",[t._v("The openEO Python client library is available on "),e("a",{attrs:{href:"https://pypi.org/project/openeo/",target:"_blank",rel:"noopener noreferrer"}},[t._v("PyPI"),e("OutboundLink")],1),t._v("\nand can easily be installed with a tool like "),e("code",[t._v("pip")]),t._v(", for example:")]),t._v(" "),e("div",{staticClass:"language-shell script extra-class"},[e("pre",{pre:!0,attrs:{class:"language-shell"}},[e("code",[t._v("pip "),e("span",{pre:!0,attrs:{class:"token function"}},[t._v("install")]),t._v(" openeo\n")])])]),e("p",[t._v("The client library is also available on "),e("a",{attrs:{href:"https://anaconda.org/conda-forge/openeo",target:"_blank",rel:"noopener noreferrer"}},[t._v("Conda Forge"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("p",[t._v("It's recommended to work in a virtual environment of some kind ("),e("code",[t._v("venv")]),t._v(", "),e("code",[t._v("conda")]),t._v(", ...),\ncontaining Python 3.6 or higher.")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("For more details, alternative installation procedures or troubleshooting tips:\nsee the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/installation.html",target:"_blank",rel:"noopener noreferrer"}},[t._v("official "),e("code",[t._v("openeo")]),t._v(" package installation documentation"),e("OutboundLink")],1),t._v(".")])]),t._v(" "),e("h2",{attrs:{id:"exploring-a-back-end"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#exploring-a-back-end"}},[t._v("#")]),t._v(" Exploring a back-end")]),t._v(" "),e("p",[t._v("If you do not know an openEO back-end that you want to connect to yet, you can have a look at the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(", to find all known back-ends with information on their capabilities.")]),t._v(" "),e("p",[t._v("For this tutorial we will use the openEO instance of Google Earth Engine, which is available at "),e("code",[t._v("https://earthengine.openeo.org")]),t._v(".\nNote that the code snippets in this guide work the same way for the other back-ends listed in the openEO Hub. 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object"),e("OutboundLink")],1),t._v("\nis your central gateway to")]),t._v(" "),e("ul",[e("li",[t._v("list data collections, available processes, file formats and other capabilities of the back-end")]),t._v(" "),e("li",[t._v("start building your openEO algorithm from the desired data on the back-end")]),t._v(" "),e("li",[t._v("execute and monitor (batch) jobs on the back-end")]),t._v(" "),e("li",[t._v("etc.")])]),t._v(" "),e("h3",{attrs:{id:"collections"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#collections"}},[t._v("#")]),t._v(" Collections")]),t._v(" "),e("p",[t._v('The EO data available at a back-end is organised in so-called collections.\nFor example, a back-end might provide fundamental satellite collections like "Sentinel 1" or "Sentinel 2",\nor preprocessed collections like "NDVI".\nCollections are used as input data for your openEO jobs.')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" 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noreferrer"}},[e("code",[t._v("describe_collection")]),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("Programmatically listing collections is just a very simple usage example of the Python client.\nIn reality, you probably want to look up or inspect available collections in a web based overview such as the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(".")])]),t._v(" "),e("h3",{attrs:{id:"processes"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#processes"}},[t._v("#")]),t._v(" Processes")]),t._v(" "),e("p",[t._v('Processes in openEO are operations that can be applied on (EO) data\n(e.g. calculate the mean of an array, or mask out observations outside a given polygon).\nThe output of one process can be used as the input of another process,\nand by doing so, multiple processes can be connected that way in a larger "process graph":\na new (user-defined) processes that implements a certain algorithm.')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Note")]),t._v(" "),e("p",[t._v("Check "),e("RouterLink",{attrs:{to:"/documentation/1.0/glossary.html#processes"}},[t._v("the openEO glossary")]),t._v("\nfor more details on pre-defined, user-defined processes and process graphs.")],1)]),t._v(" "),e("p",[t._v("Let's list the (pre-defined) processes available on the back-end\nwith "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.list_processes",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("list_processes")]),e("OutboundLink")],1),t._v(":")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("connection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("list_processes"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("which returns a list of dictionaries describing the process (including expected arguments and return type), e.g.:")]),t._v(" "),e("div",{staticClass:"language- extra-class"},[e("pre",{pre:!0,attrs:{class:"language-text"}},[e("code",[t._v("[{'id': 'absolute', 'summary': 'Absolute value', 'description': 'Computes the absolute value of a real number `x`, which is th...', \n {'id': 'mean', 'summary': 'Arithmetic mean(average)', ...}\n ...]\n")])])]),e("p",[t._v("Like with collections, instead of programmatic exploration you'll probably prefer a web-based overview such as the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(" for back-end specific process descriptions\nor browse the "),e("a",{attrs:{href:"https://processes.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("reference specifications of openEO processes"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("h2",{attrs:{id:"authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#authentication"}},[t._v("#")]),t._v(" Authentication")]),t._v(" "),e("p",[t._v("In the code snippets above we did not need to log in\nsince we just queried publicly available back-end information.\nHowever, to run non-trivial processing queries one has to authenticate\nso that permissions, resource usage, etc. can be managed properly.")]),t._v(" "),e("p",[t._v("Depending on the back-end, there might be two different approaches to authenticate.\nYou need to inform yourself at your back-end provider of choice, which authentication approach you have to carry out.\nYou can also have a look at the "),e("a",{attrs:{href:"https://hub.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[t._v("openEO Hub"),e("OutboundLink")],1),t._v(" to see the available authentication types of the back-ends.")]),t._v(" "),e("p",[t._v("A detailed description of why and how to use the authentication methods is on the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/auth.html#authentication-and-account-management",target:"_blank",rel:"noopener noreferrer"}},[t._v("official documentation"),e("OutboundLink")],1),t._v(".")]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("Recommendation")]),t._v(" "),e("p",[t._v("The Google Earth Engine implementation for openEO only supports Basic authentication, but generally the preferred authentication method is "),e("a",{attrs:{href:"#openid-connect-authentication"}},[t._v("OpenID Connect")]),t._v(" due to better security mechanisms implemented in the OpenID Connect protocol.")])]),t._v(" "),e("h3",{attrs:{id:"basic-authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#basic-authentication"}},[t._v("#")]),t._v(" Basic Authentication")]),t._v(" "),e("p",[t._v("The Basic authentication method is a common way of authenticate HTTP requests given username and password.")]),t._v(" "),e("p",[t._v("The following code snippet shows how to log in via Basic authentication:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Authenticate with Basic authentication"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\nconnection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("authenticate_basic"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"username"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"password"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("You can get username and password here: "),e("a",{attrs:{href:"https://github.com/Open-EO/openeo-earthengine-driver#demo",target:"_blank",rel:"noopener noreferrer"}},[t._v("https://github.com/Open-EO/openeo-earthengine-driver#demo"),e("OutboundLink")],1)])]),t._v(" "),e("p",[t._v("After successfully calling the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.authenticate_basic",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("authenticate_basic")]),e("OutboundLink")],1),t._v(" method, you are logged into the back-end with your account.")]),t._v(" "),e("p",[t._v("This means, that every call that comes after that via the connection variable is executed by your user account.")]),t._v(" "),e("h3",{attrs:{id:"openid-connect-authentication"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#openid-connect-authentication"}},[t._v("#")]),t._v(" OpenID Connect Authentication")]),t._v(" "),e("div",{staticClass:"custom-block warning"},[e("p",{staticClass:"custom-block-title"},[t._v("WARNING")]),t._v(" "),e("p",[t._v("For Google Earth Engine, only "),e("a",{attrs:{href:"#basic-authentication"}},[t._v("Basic Authentication")]),t._v(" is supported at the moment.")])]),t._v(" "),e("p",[t._v("The OIDC ("),e("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[t._v("OpenID Connect"),e("OutboundLink")],1),t._v(") authentication can be used to authenticate via an external service given a client ID.\nThe following code snippet shows how to log in via OIDC authentication:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[e("span",{pre:!0,attrs:{class:"token keyword"}},[t._v("print")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"Authenticate with OIDC authentication"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\nconnection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("authenticate_oidc"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("Calling this method opens your system web browser, with which you can authenticate yourself on the back-end authentication system.\nAfter that the website will give you the instructions to go back to the python client, where your connection has logged your account in.\nThis means that every call that comes after that via the connection variable is executed by your user account.")]),t._v(" "),e("h2",{attrs:{id:"working-with-datacube"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#working-with-datacube"}},[t._v("#")]),t._v(" Working with Datacube")]),t._v(" "),e("p",[t._v("Now that we know how to discover the capabilities of the back-end and how to authenticate,\nlet's do some real work and process some EO data in a batch job.\nWe'll build the desired algorithm by working on so-called \"Datacubes\",\nwhich is the central concept in openEO to represent EO data,\nas "),e("RouterLink",{attrs:{to:"/documentation/1.0/datacubes.html"}},[t._v("discussed in great detail here")]),t._v(".")],1),t._v(" "),e("h3",{attrs:{id:"creating-a-datacube"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#creating-a-datacube"}},[t._v("#")]),t._v(" Creating a Datacube")]),t._v(" "),e("p",[t._v("The first step is loading the desired slice of a data collection\nwith "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.load_collection",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Connection.load_collection")]),e("OutboundLink")],1),t._v(":")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" connection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("load_collection"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("\n "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"SENTINEL1_GRD"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n spatial_extent"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("{")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"west"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"south"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"east"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.65")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"north"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(":")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.35")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("}")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n temporal_extent"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-03-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-04-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v("\n bands"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VV"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VH"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),t._v("\n"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("This results in a "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Datacube")]),t._v(" object"),e("OutboundLink")],1),t._v('\ncontaining the "SENTINEL1_GRD" data restricted to the given spatial extent,\nthe given temporal extend and the given bands .')]),t._v(" "),e("div",{staticClass:"custom-block tip"},[e("p",{staticClass:"custom-block-title"},[t._v("TIP")]),t._v(" "),e("p",[t._v("You can also filter the datacube step by step or at a later stage by using the following filter methods:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_bbox"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("west"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" south"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.06")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" east"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("16.65")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" north"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token number"}},[t._v("48.35")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\ndatacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_temporal"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),t._v("start_date"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-03-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" end_date"),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"2017-04-01"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\ndatacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("filter_bands"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("[")]),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VV"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(",")]),t._v(" "),e("span",{pre:!0,attrs:{class:"token string"}},[t._v('"VH"')]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("]")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("Still, it is recommended to always use the filters directly in "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.connection.Connection.load_collection",target:"_blank",rel:"noopener noreferrer"}},[t._v("load_collection"),e("OutboundLink")],1),t._v("\nto avoid loading too much data upfront.")])]),t._v(" "),e("h3",{attrs:{id:"applying-processes"}},[e("a",{staticClass:"header-anchor",attrs:{href:"#applying-processes"}},[t._v("#")]),t._v(" Applying processes")]),t._v(" "),e("p",[t._v("By applying an openEO process on a datacube, we create a new datacube object that represents the manipulated data.\nThe standard way to do this with the Python client is to call the appropriate "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("Datacube")]),t._v(" object"),e("OutboundLink")],1),t._v(" method.\nThe most common or popular openEO processes have a dedicated "),e("code",[t._v("Datacube")]),t._v(" method (e.g. "),e("code",[t._v("mask")]),t._v(", "),e("code",[t._v("aggregate_spatial")]),t._v(", "),e("code",[t._v("filter_bbox")]),t._v(", ...).\nOther processes without a dedicated method can still be applied in a generic way.\nAn on top of that, there are also some convenience methods that implement\nopenEO processes is a compact, Pythonic interface.")]),t._v(" "),e("p",[t._v("For example, the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube.min_time",target:"_blank",rel:"noopener noreferrer"}},[e("code",[t._v("min_time")]),e("OutboundLink")],1),t._v(" method\nimplements a "),e("code",[t._v("reduce_dimension")]),t._v(" process along the temporal dimension, using the "),e("code",[t._v("min")]),t._v(" process as reducer function:")]),t._v(" "),e("div",{staticClass:"language-python extra-class"},[e("pre",{pre:!0,attrs:{class:"language-python"}},[e("code",[t._v("datacube "),e("span",{pre:!0,attrs:{class:"token operator"}},[t._v("=")]),t._v(" datacube"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(".")]),t._v("min_time"),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v("(")]),e("span",{pre:!0,attrs:{class:"token punctuation"}},[t._v(")")]),t._v("\n")])])]),e("p",[t._v("This creates a new datacube (we overwrite the existing variable),\nwhere the time dimension is eliminated and for each pixel we just have\nthe minimum value of the corresponding timeseries in the original datacube.")]),t._v(" "),e("p",[t._v("See the "),e("a",{attrs:{href:"https://open-eo.github.io/openeo-python-client/api.html#openeo.rest.datacube.DataCube",target:"_blank",rel:"noopener noreferrer"}},[t._v("Python client "),e("code",[t._v("Datacube")]),t._v(" API"),e("OutboundLink")],1),t._v(" for a more complete listing of methods that implement openEO processes.")]),t._v(" "),e("p",[t._v("openEO processes that are not supported by a dedicated "),e("code",[t._v("Datacube")]),t._v(" method\ncan be applied in a generic way with the 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It is recommended to start by implementing the "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/api/reference.html#tag/Capabilities"}},[e._v("Capabilities")]),e._v(" microservice. "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/api/reference.html#tag/EO-Data-Discovery"}},[e._v("EO Data Discovery")]),e._v(", "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/api/reference.html#tag/Process-Discovery"}},[e._v("Process Discovery")]),e._v(" are important for the client libraries to be available, too. Afterwards you should implement "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/api/reference.html#tag/Batch-Jobs"}},[e._v("Batch Job Management")]),e._v(" or "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/api/reference.html#/paths/~1result/post"}},[e._v("synchronous data processing")]),e._v(". All other microservices can be added later and are not strictly required to run openEO services. Keep in mind that you don't need to implement all endpoints in the first iteration and that you can specify in the Capabilities, which endpoints you are supporting.")],1),e._v(" "),t("p",[e._v("For example, you could start by implementing the following endpoints in the first iteration:")]),e._v(" "),t("ul",[t("li",[e._v("Well-Known Document: "),t("code",[e._v("GET /.well-known/openeo")])]),e._v(" "),t("li",[e._v("Capabilities: "),t("code",[e._v("GET /")]),e._v(" and "),t("code",[e._v("GET /file_formats")])]),e._v(" "),t("li",[e._v("Data discovery: "),t("code",[e._v("GET /collections")]),e._v(" and "),t("code",[e._v("GET /collections/{collection_id}")])]),e._v(" "),t("li",[e._v("Process discovery: "),t("code",[e._v("GET /processes")])]),e._v(" "),t("li",[e._v("Data processing: "),t("code",[e._v("POST /result")])]),e._v(" "),t("li",[e._v("Authentication (if required): "),t("code",[e._v("GET /credentials/basic")])])]),e._v(" "),t("p",[e._v("A more detailed recommendation about the endpoints and processes to implement can be found in the "),t("RouterLink",{attrs:{to:"/documentation/1.0/developers/profiles/"}},[e._v("API and Processes profiles")]),e._v(".")],1),e._v(" "),t("p",[e._v("Afterwards you can already start experimenting with your first process graphs and process EO data with our client libraries on your back-end.")]),e._v(" "),t("p",[t("em",[e._v("More information will follow soon, for example about back-end compliance testing.")])])])}),[],!1,null,null,null);t.default=n.exports}}]); \ No newline at end of file diff --git a/assets/js/80.4e4fc19b.js b/assets/js/80.3be02ae2.js similarity index 99% rename from assets/js/80.4e4fc19b.js rename to assets/js/80.3be02ae2.js index 05bfb9532..9d49a3d61 100644 --- a/assets/js/80.4e4fc19b.js +++ b/assets/js/80.3be02ae2.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[80],{481:function(e,a,t){"use strict";t.r(a);var o=t(4),s=Object(o.a)({},(function(){var e=this,a=e._self._c;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"performance-guide-for-openeo-backends"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#performance-guide-for-openeo-backends"}},[e._v("#")]),e._v(" Performance guide for openEO backends")]),e._v(" "),a("h2",{attrs:{id:"openeo-api-vision-on-performance-scalability"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#openeo-api-vision-on-performance-scalability"}},[e._v("#")]),e._v(" openEO API vision on performance & scalability")]),e._v(" "),a("p",[e._v("Given that the openEO API only defines a web service, it can in no way ensure the performance or scalability of an\nimplementation. What it can do however, is avoiding API definitions that prevent an implementation from being efficient.\nWhen openEO was designed, performance was one of the key design drivers, so here we try to explain how that is achieved.")]),e._v(" "),a("h3",{attrs:{id:"bringing-the-processing-to-the-data"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#bringing-the-processing-to-the-data"}},[e._v("#")]),e._v(" Bringing the processing to the data")]),e._v(" "),a("p",[e._v("Two evolutions created the need for an API designed for performance and scalability: EO programmes like Copernicus that\npushed data volumes into the petabyte range, and a move towards ever larger cloud infrastructure and HPC processing capacity\nto analyze these volumes of data. OpenEO supports this by defining data access and processing into a single specification.\nAs a result, the openEO process graph allows the backend to choose any data access pattern that is optimal for\nthe processing that is to be executed, and the dataset that is to be read.")]),e._v(" "),a("p",[e._v("A popular example of such a case, is infrastructures that store the data on the same machines that do the processing.\nIn such a case, an openEO backend can choose to load and process the data directly on the machine that has the data stored.\nAnother example is adjusting and aligning the data chunks for the processing to the internal layout of the file format that\nstores the EO data. IO performance optimizations like this are only possible if the processing engine has deep knowledge\nof the data organization from storage system over networks to file formats.")]),e._v(" "),a("h3",{attrs:{id:"datacube-processing"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#datacube-processing"}},[e._v("#")]),e._v(" Datacube processing")]),e._v(" "),a("p",[e._v("The datacube view that openEO uses as a model to represent the data as it is transformed by various processes also has\nimportant performance and scalability implications.")]),e._v(" "),a("p",[e._v("The easiest way to understand this is to contrast it with a more traditional 'product-based' view of building workflows.\nIn a product or file based workflow, a process operates on a set of input files and generates a set of output files. Many\nEO workflows have been written like this, but the consequence is that every process spends time on reading date into memory, and\nwriting it back to disk. Persistent storage is often the slowest component in a processing system, and thus these workflows\nspend a lot of time on IO. In the openEO specification, a process transforms one datacube into another datacube.\nBackend implementations are encouraged to avoid writing data to disk in between processing steps whenever possible. By\nkeeping the datacubes into memory, this avoids those costly IO operations.")]),e._v(" "),a("p",[e._v("Here it is important to note that openEO does not enforce or define how the datacube should look like on the backend. The\ndatacube can be a set of files, or arrays in memory distributed over a cluster. These choices are left to the\nbackend implementor, this guide only tries to highlight the possibilities.")]),e._v(" "),a("p",[e._v("For scalability, the openEO processes clearly define along which set of dimensions of the datacube they operate. When\na user writes a process graph, it should never instruct the backend to apply a black box algorithm or function on the\nentire datacube. For most algorithms, this is not necessary, and loading the complete datacube of a Copernicus mission at once\nis simply not possible. Hence, users run '"),a("a",{attrs:{href:"https://openeo.org/documentation/1.0/developers/api/reference.html#section/Processes/Process-Graphs",target:"_blank",rel:"noopener noreferrer"}},[e._v("user-defined (child) processes"),a("OutboundLink")],1),e._v("' over a 1-dimensional array, or even multidimensional arrays or 'chunks'\nof the datacube. Based on this information, the backend is able to define both a data access and processing strategy that is\noptimal for the given process graph.")]),e._v(" "),a("h2",{attrs:{id:"process-graph-execution"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#process-graph-execution"}},[e._v("#")]),e._v(" Process graph execution")]),e._v(" "),a("p",[e._v("Here we go a bit more into detail about how a backend evaluates a process graph. Again, this is not normative or\nmandated by the specification, but rather an explanation of one way to achieve optimal performance.")]),e._v(" "),a("p",[e._v("In general, process graphs are first analyzed as a whole before the actual processing starts. The analysis phase serves\nto reveal the optimal processing strategy and parameters.")]),e._v(" "),a("p",[e._v("These are a few examples of things that can be derived from a process graph and subsequent optimizations:")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("Masking:")]),e._v(" when a raster dataset is masked with another raster or polygons, then often the loading of the datacube to\nwhich the mask is applied can be limited to unmasked values.")]),e._v(" "),a("li",[a("strong",[e._v("Vector filtering:")]),e._v(" various operations (aggregate_spatial, filter_spatial, mask_polygon) can restrict the datacube to a\nset of polygons, resulting in a rather sparse cube. Loading and processing of sparse cubes can be rather different from dense data cubes.")]),e._v(" "),a("li",[a("strong",[e._v("Resampling:")]),e._v(" resampling operations can allow data to be loaded from overviews rather than original resolution. Applying\nresampling and reprojection at load time can also be faster and save memory.")]),e._v(" "),a("li",[a("strong",[e._v("Multitemporal processing:")]),e._v(" many EO algorithms work over the temporal dimension rather than spatial dimensions. The\ntype of algorithm can be inferred from the process graph, allowing to adjust the processing strategy accordingly.")])]),e._v(" "),a("h2",{attrs:{id:"performance-faq"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#performance-faq"}},[e._v("#")]),e._v(" Performance FAQ")]),e._v(" "),a("h3",{attrs:{id:"i-have-a-highly-optimized-workflow-can-openeo-expose-it"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#i-have-a-highly-optimized-workflow-can-openeo-expose-it"}},[e._v("#")]),e._v(" I have a highly optimized workflow, can openEO expose it?")]),e._v(" "),a("p",[e._v("Basically openEO can expose anything as a custom 'process'. If your algorithm can not be expressed as an openEO process graph,\nthen you can just let your backend advertise your custom process. By doing this, you still benefit from a lot of the standardized\nfeatures in the openEO API, and most tools for openEO will also support working with custom processes. This is fairly similar\nto exposing your process in other standards such as OGC Processes.")]),e._v(" "),a("p",[e._v("We do expect however that it is much more likely that your workflow can still reuse a few standardized processes. For instance,\nif it can be run on a geographical bounding box, the filter_bbox process would be a standardized way to specify that. Or\nperhaps it can operate on any set of Sentinel-2 products, in which case you might fit in a load_collection to let your users\ncustomize the input data. So usually, while you might start from a fully custom process, you'll notice that openEO offers\nways to gradually standardize your workflow further in a stepwise manner.")]),e._v(" "),a("h3",{attrs:{id:"can-openeo-be-as-fast-as-a-hand-written-workflow"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#can-openeo-be-as-fast-as-a-hand-written-workflow"}},[e._v("#")]),e._v(" Can openEO be as fast as a hand-written workflow?")]),e._v(" "),a("p",[e._v("This question depends on which backend implementation you compare to which workflow, so there is no generic answer.\nWe do note that for writing non-trivial workflows in a cloud environment, you require a combination of algorithmic programming skills\nand cloud engineering that usually requires a team of skilled persons spending (in total) multiple person months to years on the same workflow.\nSo if you know that many workflow patterns in the operational openEO backends have already been highly optimized, you may\nwant to consider if the potential of reducing processing cost with a few percentages justifies the effort.")]),e._v(" "),a("p",[e._v("Also consider that next to the openEO API, there's also a community of open source backend implementations. So if you have\nthe skills to optimize processing pipelines to perfection, why don't you consider contributing to a backend that matches your\npreferred technology stack?")])])}),[],!1,null,null,null);a.default=s.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[80],{480:function(e,a,t){"use strict";t.r(a);var o=t(4),s=Object(o.a)({},(function(){var e=this,a=e._self._c;return a("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[a("h1",{attrs:{id:"performance-guide-for-openeo-backends"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#performance-guide-for-openeo-backends"}},[e._v("#")]),e._v(" Performance guide for openEO backends")]),e._v(" "),a("h2",{attrs:{id:"openeo-api-vision-on-performance-scalability"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#openeo-api-vision-on-performance-scalability"}},[e._v("#")]),e._v(" openEO API vision on performance & scalability")]),e._v(" "),a("p",[e._v("Given that the openEO API only defines a web service, it can in no way ensure the performance or scalability of an\nimplementation. 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IO performance optimizations like this are only possible if the processing engine has deep knowledge\nof the data organization from storage system over networks to file formats.")]),e._v(" "),a("h3",{attrs:{id:"datacube-processing"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#datacube-processing"}},[e._v("#")]),e._v(" Datacube processing")]),e._v(" "),a("p",[e._v("The datacube view that openEO uses as a model to represent the data as it is transformed by various processes also has\nimportant performance and scalability implications.")]),e._v(" "),a("p",[e._v("The easiest way to understand this is to contrast it with a more traditional 'product-based' view of building workflows.\nIn a product or file based workflow, a process operates on a set of input files and generates a set of output files. Many\nEO workflows have been written like this, but the consequence is that every process spends time on reading date into memory, and\nwriting it back to disk. Persistent storage is often the slowest component in a processing system, and thus these workflows\nspend a lot of time on IO. In the openEO specification, a process transforms one datacube into another datacube.\nBackend implementations are encouraged to avoid writing data to disk in between processing steps whenever possible. By\nkeeping the datacubes into memory, this avoids those costly IO operations.")]),e._v(" "),a("p",[e._v("Here it is important to note that openEO does not enforce or define how the datacube should look like on the backend. The\ndatacube can be a set of files, or arrays in memory distributed over a cluster. These choices are left to the\nbackend implementor, this guide only tries to highlight the possibilities.")]),e._v(" "),a("p",[e._v("For scalability, the openEO processes clearly define along which set of dimensions of the datacube they operate. When\na user writes a process graph, it should never instruct the backend to apply a black box algorithm or function on the\nentire datacube. For most algorithms, this is not necessary, and loading the complete datacube of a Copernicus mission at once\nis simply not possible. Hence, users run '"),a("a",{attrs:{href:"https://openeo.org/documentation/1.0/developers/api/reference.html#section/Processes/Process-Graphs",target:"_blank",rel:"noopener noreferrer"}},[e._v("user-defined (child) processes"),a("OutboundLink")],1),e._v("' over a 1-dimensional array, or even multidimensional arrays or 'chunks'\nof the datacube. 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The analysis phase serves\nto reveal the optimal processing strategy and parameters.")]),e._v(" "),a("p",[e._v("These are a few examples of things that can be derived from a process graph and subsequent optimizations:")]),e._v(" "),a("ul",[a("li",[a("strong",[e._v("Masking:")]),e._v(" when a raster dataset is masked with another raster or polygons, then often the loading of the datacube to\nwhich the mask is applied can be limited to unmasked values.")]),e._v(" "),a("li",[a("strong",[e._v("Vector filtering:")]),e._v(" various operations (aggregate_spatial, filter_spatial, mask_polygon) can restrict the datacube to a\nset of polygons, resulting in a rather sparse cube. Loading and processing of sparse cubes can be rather different from dense data cubes.")]),e._v(" "),a("li",[a("strong",[e._v("Resampling:")]),e._v(" resampling operations can allow data to be loaded from overviews rather than original resolution. 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If your algorithm can not be expressed as an openEO process graph,\nthen you can just let your backend advertise your custom process. By doing this, you still benefit from a lot of the standardized\nfeatures in the openEO API, and most tools for openEO will also support working with custom processes. This is fairly similar\nto exposing your process in other standards such as OGC Processes.")]),e._v(" "),a("p",[e._v("We do expect however that it is much more likely that your workflow can still reuse a few standardized processes. For instance,\nif it can be run on a geographical bounding box, the filter_bbox process would be a standardized way to specify that. Or\nperhaps it can operate on any set of Sentinel-2 products, in which case you might fit in a load_collection to let your users\ncustomize the input data. So usually, while you might start from a fully custom process, you'll notice that openEO offers\nways to gradually standardize your workflow further in a stepwise manner.")]),e._v(" "),a("h3",{attrs:{id:"can-openeo-be-as-fast-as-a-hand-written-workflow"}},[a("a",{staticClass:"header-anchor",attrs:{href:"#can-openeo-be-as-fast-as-a-hand-written-workflow"}},[e._v("#")]),e._v(" Can openEO be as fast as a hand-written workflow?")]),e._v(" "),a("p",[e._v("This question depends on which backend implementation you compare to which workflow, so there is no generic answer.\nWe do note that for writing non-trivial workflows in a cloud environment, you require a combination of algorithmic programming skills\nand cloud engineering that usually requires a team of skilled persons spending (in total) multiple person months to years on the same workflow.\nSo if you know that many workflow patterns in the operational openEO backends have already been highly optimized, you may\nwant to consider if the potential of reducing processing cost with a few percentages justifies the effort.")]),e._v(" "),a("p",[e._v("Also consider that next to the openEO API, there's also a community of open source backend implementations. So if you have\nthe skills to optimize processing pipelines to perfection, why don't you consider contributing to a backend that matches your\npreferred technology stack?")])])}),[],!1,null,null,null);a.default=s.exports}}]); \ No newline at end of file diff --git a/assets/js/81.85110f31.js b/assets/js/81.8b8062eb.js similarity index 98% rename from assets/js/81.85110f31.js rename to assets/js/81.8b8062eb.js index 777472a30..39e46b6a0 100644 --- a/assets/js/81.85110f31.js +++ b/assets/js/81.8b8062eb.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[81],{480:function(e,t,r){"use strict";r.r(t);var n=r(4),a=Object(n.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("h1",{attrs:{id:"getting-started-for-client-developers"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#getting-started-for-client-developers"}},[e._v("#")]),e._v(" Getting started for client developers")]),e._v(" "),t("p",[e._v("For easy access to openEO back-ends it is essential to provide client libraries for users in their well-known programming languages or working environments. This can be either a "),t("em",[e._v("client library")]),e._v(" for a specific programming language that hides the technical details of the openEO API or an application with a user interface, e.g. a GIS software plugin or a web-based tool. All software written for openEO should follow the "),t("RouterLink",{attrs:{to:"/documentation/software-guidelines.html"}},[e._v("software development guidelines")]),e._v(".")],1),e._v(" "),t("h2",{attrs:{id:"client-library-developers"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#client-library-developers"}},[e._v("#")]),e._v(" Client library developers")]),e._v(" "),t("p",[e._v("If your preferred programming language is not part of the "),t("RouterLink",{attrs:{to:"/software.html#clients"}},[e._v("available client libraries")]),e._v(" you may consider writing your own client library. Our client libraries are basically translating the openEO API into native concepts of the programming languages. 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strict";o.r(t);var r=o(4),n=Object(r.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("h1",{attrs:{id:"ieee-igarrs-2021-hd-3-hands-on-openeo-access-cloud-platforms-using-your-preferred-programming-language"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#ieee-igarrs-2021-hd-3-hands-on-openeo-access-cloud-platforms-using-your-preferred-programming-language"}},[e._v("#")]),e._v(" IEEE IGARRS 2021 HD-3: Hands-on openEO: access cloud platforms using your preferred programming language")]),e._v(" "),t("p",[e._v("This page contains the agenda, and links to used material for the\nIEEE IGARRS 2021 openEO tutorial.")]),e._v(" "),t("p",[e._v("Details: "),t("a",{attrs:{href:"https://igarss2021.com/tutorials.php#tut9",target:"_blank",rel:"noopener noreferrer"}},[e._v("https://igarss2021.com/tutorials.php#tut9"),t("OutboundLink")],1)]),e._v(" 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It should take no longer than 10 minutes to complete.")]),this._v(" "),e("p",[e("a",{attrs:{href:"https://ec.europa.eu/eusurvey/runner/openEO_UserSurvey",target:"_blank",rel:"noopener noreferrer"}},[this._v("https://ec.europa.eu/eusurvey/runner/openEO_UserSurvey"),e("OutboundLink")],1)])])}),[],!1,null,null,null);t.default=s.exports}}]); \ No newline at end of file diff --git a/assets/js/95.e6a6d657.js b/assets/js/95.58e42a48.js similarity index 98% rename from assets/js/95.e6a6d657.js rename to assets/js/95.58e42a48.js index 4287eacf8..947aec0ec 100644 --- a/assets/js/95.e6a6d657.js +++ b/assets/js/95.58e42a48.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[95],{503:function(e,t,n){"use strict";n.r(t);var s=n(4),r=Object(s.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("p",[e._v("The openEO consortium is currently undergoing its first evaluation process by the European Commission. During the first year the partners exceeded the planned progress. During the starting phase the meaning of the different layers was clarified more precisely. openEO represents a set of contracts between two API layers.")]),e._v(" "),t("ol",[t("li",[e._v("Instances of the core API are implemented at back-end drivers within the respective EO service providers. By guaranteeing the same instances at the various back-ends, their interoperability can be guaranteed.")]),e._v(" "),t("li",[e._v("Client APIs – software libraries specific to given programming languages – are enabling users to interact with the back-end's drivers.\nThe communication between clients and service providers is realised via HTTP requests, which's complexity is not visible to the users, but is dealt with by openEO.")])]),e._v(" "),t("p",[e._v("Since the successful development of the Proof of Concept, client APIs are developed for "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-python-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("Python"),t("OutboundLink")],1),e._v(", "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-r-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("R"),t("OutboundLink")],1),e._v(", and "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-js-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("JavaScript"),t("OutboundLink")],1),e._v(", enabling the execution of a growing set of functionalities. Being language neutral, new client APIs of e.g. additional programming languages, Quantum GIS interfaces, or GRASS GIS can be added easily. Currently, the core API is establishing access to entry points of "),t("RouterLink",{attrs:{to:"/software.md/#back-ends"}},[e._v("7 European EO service providers")]),e._v(", which are thus able to provide services to the user, reflecting examples from all stages of EO data processing.")],1),e._v(" "),t("p",[e._v("A process catalogue is under development, describing a set of functionalities to be implemented for openEO, their I/O data and their exact workflow. Interested users are encouraged to discuss with the consortium partners via the various provided channels to enable openEO forming widely accepted and used standards with a consistent syntax. The well-defined process catalogue shall also serve 3rd-party processing platforms with a template to become accessible to openEO. In the same manner, a client library development guideline is being prepared momentarily to ensure a standardised implementation of the client APIs.")]),e._v(" "),t("p",[e._v("For using arbitrary code to process EO data with the openEO API, first User-Defined Functions (UDF) are currently implemented and added to openEO-compatible workflows. The UDFs are running in specific dockers at the EO data service providers.")]),e._v(" "),t("p",[e._v("openEO is published in its version "),t("a",{attrs:{href:"https://api.openeo.org/v/0.3.0/",target:"_blank",rel:"noopener noreferrer"}},[e._v("0.3.0"),t("OutboundLink")],1),e._v(", providing a HTTP communication between the users and service providers specified by OpenAPI 3.0 JSON files. The JSON data entails process graphs, sent as a job to the back-ends, which can be executed in three different ways.")]),e._v(" "),t("ol",[t("li",[e._v("A batch job can be submitted, which stays inactive until processing is requested. It will run only once and stores its results after execution.")]),e._v(" "),t("li",[e._v("Secondary web services allow web-based access using different protocols such as OGC WMS, OGC WCS or XYZ tiles. The computation runs on demand to allow users to change e.g. the result's viewing extent or level of detail.")]),e._v(" "),t("li",[e._v("Lightweight process graphs (e.g. small previews) can be executed synchronously. More costly processes have to expect timeouts for long-polling HTTP requests.")])]),e._v(" "),t("p",[e._v("The next steps for the consortium will entail the realisation of the newest openEO version at all back-ends and a definition of the targeted level of UDFs (e.g. simple NDVI calculation vs. machine learning algorithms). The process catalogues will be widened up, entailing at least all needed processes to implement the project's use cases via openEO. As an interested user please contact us, if you have any suggestions.")]),e._v(" "),t("p",[e._v("Finally, we plan to submit our first preliminary stable openEO version in May 2019.")])])}),[],!1,null,null,null);t.default=r.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[95],{502:function(e,t,n){"use strict";n.r(t);var s=n(4),r=Object(s.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("p",[e._v("The openEO consortium is currently undergoing its first evaluation process by the European Commission. During the first year the partners exceeded the planned progress. During the starting phase the meaning of the different layers was clarified more precisely. openEO represents a set of contracts between two API layers.")]),e._v(" "),t("ol",[t("li",[e._v("Instances of the core API are implemented at back-end drivers within the respective EO service providers. By guaranteeing the same instances at the various back-ends, their interoperability can be guaranteed.")]),e._v(" "),t("li",[e._v("Client APIs – software libraries specific to given programming languages – are enabling users to interact with the back-end's drivers.\nThe communication between clients and service providers is realised via HTTP requests, which's complexity is not visible to the users, but is dealt with by openEO.")])]),e._v(" "),t("p",[e._v("Since the successful development of the Proof of Concept, client APIs are developed for "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-python-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("Python"),t("OutboundLink")],1),e._v(", "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-r-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("R"),t("OutboundLink")],1),e._v(", and "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-js-client",target:"_blank",rel:"noopener noreferrer"}},[e._v("JavaScript"),t("OutboundLink")],1),e._v(", enabling the execution of a growing set of functionalities. Being language neutral, new client APIs of e.g. additional programming languages, Quantum GIS interfaces, or GRASS GIS can be added easily. Currently, the core API is establishing access to entry points of "),t("RouterLink",{attrs:{to:"/software.md/#back-ends"}},[e._v("7 European EO service providers")]),e._v(", which are thus able to provide services to the user, reflecting examples from all stages of EO data processing.")],1),e._v(" "),t("p",[e._v("A process catalogue is under development, describing a set of functionalities to be implemented for openEO, their I/O data and their exact workflow. Interested users are encouraged to discuss with the consortium partners via the various provided channels to enable openEO forming widely accepted and used standards with a consistent syntax. The well-defined process catalogue shall also serve 3rd-party processing platforms with a template to become accessible to openEO. In the same manner, a client library development guideline is being prepared momentarily to ensure a standardised implementation of the client APIs.")]),e._v(" "),t("p",[e._v("For using arbitrary code to process EO data with the openEO API, first User-Defined Functions (UDF) are currently implemented and added to openEO-compatible workflows. The UDFs are running in specific dockers at the EO data service providers.")]),e._v(" "),t("p",[e._v("openEO is published in its version "),t("a",{attrs:{href:"https://api.openeo.org/v/0.3.0/",target:"_blank",rel:"noopener noreferrer"}},[e._v("0.3.0"),t("OutboundLink")],1),e._v(", providing a HTTP communication between the users and service providers specified by OpenAPI 3.0 JSON files. The JSON data entails process graphs, sent as a job to the back-ends, which can be executed in three different ways.")]),e._v(" "),t("ol",[t("li",[e._v("A batch job can be submitted, which stays inactive until processing is requested. It will run only once and stores its results after execution.")]),e._v(" "),t("li",[e._v("Secondary web services allow web-based access using different protocols such as OGC WMS, OGC WCS or XYZ tiles. The computation runs on demand to allow users to change e.g. the result's viewing extent or level of detail.")]),e._v(" "),t("li",[e._v("Lightweight process graphs (e.g. small previews) can be executed synchronously. More costly processes have to expect timeouts for long-polling HTTP requests.")])]),e._v(" "),t("p",[e._v("The next steps for the consortium will entail the realisation of the newest openEO version at all back-ends and a definition of the targeted level of UDFs (e.g. simple NDVI calculation vs. machine learning algorithms). The process catalogues will be widened up, entailing at least all needed processes to implement the project's use cases via openEO. As an interested user please contact us, if you have any suggestions.")]),e._v(" "),t("p",[e._v("Finally, we plan to submit our first preliminary stable openEO version in May 2019.")])])}),[],!1,null,null,null);t.default=r.exports}}]); \ No newline at end of file diff --git a/assets/js/96.3c719200.js b/assets/js/96.90e4cfd6.js similarity index 91% rename from assets/js/96.3c719200.js rename to assets/js/96.90e4cfd6.js index 4abbb95c4..3db6c2441 100644 --- a/assets/js/96.3c719200.js +++ b/assets/js/96.90e4cfd6.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[96],{505:function(t,e,n){"use strict";n.r(e);var a=n(4),o=Object(a.a)({},(function(){var t=this._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":this.$parent.slotKey}},[t("p",[this._v("openEO will participate, along with the four other H2020 projects funded under the same call, in the "),t("a",{attrs:{href:"https://ec.europa.eu/info/events/h2020-eo-big-data-hackathon-2019-nov-07_en",target:"_blank",rel:"noopener noreferrer"}},[this._v("H2020 EO Big Data Hackathon"),t("OutboundLink")],1),this._v(", which is open for participation.")]),this._v(" "),t("p",[this._v("The hackaton will take place on Nov 7 and 8, 2019, in Frascati, Italy.")])])}),[],!1,null,null,null);e.default=o.exports}}]); \ No newline at end of file +(window.webpackJsonp=window.webpackJsonp||[]).push([[96],{504:function(t,e,n){"use strict";n.r(e);var a=n(4),o=Object(a.a)({},(function(){var t=this._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":this.$parent.slotKey}},[t("p",[this._v("openEO will participate, along with the four other H2020 projects funded under the same call, in the "),t("a",{attrs:{href:"https://ec.europa.eu/info/events/h2020-eo-big-data-hackathon-2019-nov-07_en",target:"_blank",rel:"noopener noreferrer"}},[this._v("H2020 EO Big Data Hackathon"),t("OutboundLink")],1),this._v(", which is open for participation.")]),this._v(" "),t("p",[this._v("The hackaton will take place on Nov 7 and 8, 2019, in Frascati, Italy.")])])}),[],!1,null,null,null);e.default=o.exports}}]); \ No newline at end of file diff --git a/assets/js/97.ad0fd3c0.js b/assets/js/97.23c8b6fa.js similarity index 99% rename from assets/js/97.ad0fd3c0.js rename to assets/js/97.23c8b6fa.js index eddd2dad7..3456184d4 100644 --- a/assets/js/97.ad0fd3c0.js +++ b/assets/js/97.23c8b6fa.js @@ -1 +1 @@ -(window.webpackJsonp=window.webpackJsonp||[]).push([[97],{504:function(e,t,o){"use strict";o.r(t);var n=o(4),a=Object(n.a)({},(function(){var e=this,t=e._self._c;return t("ContentSlotsDistributor",{attrs:{"slot-key":e.$parent.slotKey}},[t("p",[e._v("With openEO, we are digging into new grounds regarding the interoperability of big Earth observation clouds. While we could address a lot of problems that came up, some issues remained that we couldn't solve. This article explains "),t("em",[e._v("some")]),e._v(" of the lessons learned and thus also gives an honest overview about current limitations of the openEO API.")]),e._v(" "),t("h2",{attrs:{id:"_1-collection-names"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_1-collection-names"}},[e._v("#")]),e._v(" 1. Collection Names")]),e._v(" "),t("p",[e._v("The naming of data sets (collections) is different across providers. We thought about recommending to follow lists like the "),t("a",{attrs:{href:"http://database.eohandbook.com/database/missionindex.aspx",target:"_blank",rel:"noopener noreferrer"}},[e._v("CEOS Mission Index"),t("OutboundLink")],1),e._v(", but then the question is what data does it really refer to? It lists "),t("code",[e._v("Sentinel-2 A")]),e._v(" and "),t("code",[e._v("Sentinel-2 B")]),e._v(", but would that be Level 1C or 2A or something completely different? Therefore, openEO decided to not enforce any naming scheme as data sets throughout the affiliated providers were mostly differently pre-processed anyway. To improve the situation, openEO allows to define process parameters. This allows to define algorithms independently of data set names, which can later be assigned when executing the process. Also, openEO recommends to split processing instructions into two parts: data loading/pre-processing and the actual algorithm.")]),e._v(" "),t("p",[e._v("Some more background information can be found in the corresponding "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/52",target:"_blank",rel:"noopener noreferrer"}},[e._v("GitHub issue"),t("OutboundLink")],1),e._v(". In general, many limitations (including the following) concern the data holdings of the providers and may hopefully be solved by initiatives that work on Analysis Ready Data (ARD).")]),e._v(" "),t("h2",{attrs:{id:"_2-other-names"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_2-other-names"}},[e._v("#")]),e._v(" 2. Other Names")]),e._v(" "),t("p",[e._v("Similarly, the naming of bands (and potentially other dimension labels, too) are inconsistent across providers, we faced names such as "),t("code",[e._v("B2")]),e._v(", "),t("code",[e._v("B02")]),e._v(", "),t("code",[e._v("2")]),e._v(" or "),t("code",[e._v("blue")]),e._v(" for Sentinel-2. openEO doesn't enforce any naming scheme, but has found ways to improve the situation for users. First, process parameters can be used (see above). Second, bands can also be specified using the "),t("a",{attrs:{href:"https://github.com/radiantearth/stac-spec/tree/v0.9.0/extensions/eo#common-band-names",target:"_blank",rel:"noopener noreferrer"}},[e._v("common names as specified by STAC"),t("OutboundLink")],1),e._v(" or wavelength ranges. openEO recommends to use common names whenever available.")]),e._v(" "),t("p",[e._v("For example, to avoid specific naming you could filter for Sentinel-2 (A and B) band 2 as follows:")]),e._v(" "),t("ul",[t("li",[e._v("by common name: "),t("code",[e._v("filter_bands(data = cube, bands = ['blue'])")]),e._v(" (blue maps to the wavelength range 0.45 - 0.50 according to STAC)")]),e._v(" "),t("li",[e._v("by wavelength, specified in μm: "),t("code",[e._v("filter_bands(data = cube, wavelength = [[0.49, 0.50]])")]),e._v(" (wavelength is 0.4966 for Sentinel-2A and 0.4921 for Sentinel-2B)")])]),e._v(" "),t("p",[e._v("In general, metadata is aligned for usage in openEO processes by using the "),t("a",{attrs:{href:"https://www.stacspec.org",target:"_blank",rel:"noopener noreferrer"}},[e._v("STAC specification"),t("OutboundLink")],1),e._v(", which improves interoperability.")]),e._v(" "),t("h2",{attrs:{id:"_3-chunked-collections"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_3-chunked-collections"}},[e._v("#")]),e._v(" 3. Chunked Collections")]),e._v(" "),t("p",[e._v("Some providers (for example "),t("a",{attrs:{href:"https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR",target:"_blank",rel:"noopener noreferrer"}},[e._v("Google Earth Engine"),t("OutboundLink")],1),e._v(") expose data sets such as Sentinel-2 L2A as one large collection. Other providers expose the data sets split into groups, e.g. chunked by CRS and resolution. EURAC has collections such as "),t("code",[e._v("S2_32632_60m_L2A")]),e._v(" or "),t("code",[e._v("S2_32635_10m_L2A")]),e._v(" for example. There are valid "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/180",target:"_blank",rel:"noopener noreferrer"}},[e._v("reasons"),t("OutboundLink")],1),e._v(" for any of the implementations, but to explain them is too much for this article. Unfortunately, those differences decrease the interoperability and in the end the re-usability of the processes. openEO aims to make algorithms re-usable and thus recommends to split processing instructions into two parts: data loading/pre-processing and the actual algorithm. This allows greater re-usability of the algorithms.")]),e._v(" "),t("h2",{attrs:{id:"_4-what-to-specify"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_4-what-to-specify"}},[e._v("#")]),e._v(" 4. What to specify?")]),e._v(" "),t("p",[e._v("The API has a focus on Service and Data Discovery, Data Processing and Result Retrieval/Publishing. Some more customer-oriented tasks such as user registration and payments are not handled through the openEO API. These aspects are too different across providers and can be handled more efficiently through external interfaces. Most providers already offer such services independently of the openEO API implementation anyway to offer their pre-openEO services.")]),e._v(" "),t("p",[e._v("Still, the openEO API uses OpenID Connect as main Authentication and Authorization mechanism (see also point 5). "),t("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenID Connect"),t("OutboundLink")],1),e._v(" has a "),t("a",{attrs:{href:"https://openid.net/specs/openid-connect-prompt-create-1_0.html",target:"_blank",rel:"noopener noreferrer"}},[e._v("User Registration extension draft"),t("OutboundLink")],1),e._v(" that can be used by back-ends and may be adopted in the future. We closely follow upcoming specifications and standards and are happy to adopt anything useful.")]),e._v(" "),t("h3",{attrs:{id:"file-formats"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#file-formats"}},[e._v("#")]),e._v(" File Formats")]),e._v(" "),t("p",[e._v("Similarly, file "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/63",target:"_blank",rel:"noopener noreferrer"}},[e._v("formats"),t("OutboundLink")],1),e._v(" and their "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/32",target:"_blank",rel:"noopener noreferrer"}},[e._v("options"),t("OutboundLink")],1),e._v(' are often very different between processing software. That is why GDAL exists. To improve interoperability, the openEO API just recommends to align them with GDAL, which is used in most relevant software anyway. Unfortunately, this comes with some small inconveniences. For example, most people would probably expect to just specify "GeoTiff" as file format name, but GDAL has named it "GTiff". Another idea was to use '),t("a",{attrs:{href:"https://www.iana.org/assignments/media-types/media-types.xhtml",target:"_blank",rel:"noopener noreferrer"}},[e._v("media types"),t("OutboundLink")],1),e._v(" such as "),t("code",[e._v("application/json")]),e._v(", but then we realized that these are often to broad or not even defined. For example, openEO had to "),t("a",{attrs:{href:"https://github.com/opengeospatial/geotiff/issues/34",target:"_blank",rel:"noopener noreferrer"}},[e._v("push the OGC"),t("OutboundLink")],1),e._v(" to specify an official media type for GeoTiff. But the same issue exists for other file formats, too.")]),e._v(" "),t("h2",{attrs:{id:"_5-authentication"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_5-authentication"}},[e._v("#")]),e._v(" 5. Authentication")]),e._v(" "),t("p",[e._v("One of the most complex issues we faced during the API development was actually not EO or data processing related. It was the Authentication and Authorization mechanism. We quickly decided to use one of the well-established standards available for security reasons. Unfortunately, most of them don't seem to cater very well for our use case where you have a number of different clients and back-ends communicating with each other. Usually in the Web you have multiple clients communicating with a single back-end ("),t("em",[e._v("1:n")]),e._v("), but in openEO we have a "),t("em",[e._v("n:m")]),e._v(" relation. There are CLI tools, web clients and more that need to authenticate against a growing set of independent providers. Therefore, you can't easily ship clients with security measures like Client IDs (and Client Secrets) as required by "),t("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenID Connect"),t("OutboundLink")],1),e._v(" (based on "),t("a",{attrs:{href:"https://oauth.net/2/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OAuth 2"),t("OutboundLink")],1),e._v("). Users need to get those information by themselves and provide it to the clients, which is inconvenient and probably confusing to many non-developers. This issue is probably the thing I dislike most in the current API specification and thus would love to hear from you whether there are good solutions out there that we missed.")]),e._v(" "),t("h2",{attrs:{id:"_6-debugging-experience"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_6-debugging-experience"}},[e._v("#")]),e._v(" 6. Debugging Experience")]),e._v(" "),t("p",[e._v('The logging and debugging experience varies a lot between cloud processing and the "traditional workflow" (you download data and compute locally with your preferred tools). While it\'s "free" on a local machine to just do "trial and error" to check whether something is running, cloud processing usually comes with a cost and you likely don\'t want to work with "trial and error". Also you don\'t directly have access to the hardware and software and thus it is harder to investigate problems. openEO took several measures to mitigate these issues, but it is still a different experience for users. I guess that is a long learning process until it is adopted by users and may need additional effort to implement tools to improve the situation. While many users are getting used to it in situations where a streamlined experience is somewhat possible as only few clients communicate with a single provider (e.g. Google Earth Engine), the issue increases in openEO due to the different infrastructure and software used on back-end side.')]),e._v(" "),t("h2",{attrs:{id:"_7-defining-interoperable-processes"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_7-defining-interoperable-processes"}},[e._v("#")]),e._v(" 7. Defining interoperable Processes")]),e._v(" "),t("p",[e._v("Defining a common set of pre-defined processes was a very long and challenging task.")]),e._v(" "),t("ol",[t("li",[e._v("First, we had to come up with a useful schema that allowed us to describe processes in JSON. We got inspired by different other standards such as "),t("a",{attrs:{href:"https://www.ogc.org/standards/wps",target:"_blank",rel:"noopener noreferrer"}},[e._v("WPS"),t("OutboundLink")],1),e._v(" and "),t("a",{attrs:{href:"http://spec.openapis.org/oas/v3.0.3",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenAPI"),t("OutboundLink")],1),e._v(".")]),e._v(" "),t("li",[e._v("Second, we had to find what processes are required and which granularity they should have. That quickly led to over "),t("a",{attrs:{href:"https://processes.openeo.org/",target:"_blank",rel:"noopener noreferrer"}},[e._v("a hundred processes"),t("OutboundLink")],1),e._v(", mainly for data cube and math operations. And that was only for mostly raster operations. 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Due to the fact that the actual parameters and return values are described in JSON Schema, clients and back-ends can easily re-use existing JSON Schema implementations and adopt to changes in the process specifications. Thus, if a back-end doesn't support parts of a process, it can just be changed/removed and a client can understand that and cater for it.")]),e._v(" "),t("h2",{attrs:{id:"conclusion"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#conclusion"}},[e._v("#")]),e._v(" Conclusion")]),e._v(" "),t("p",[e._v("This was a deep dive into "),t("em",[e._v("some")]),e._v(" of my challenges during the last years. I hope it is useful for others and I'm hoping to get into discussions with developers facing similar issues. Maybe with joint forces we can solve some of these for a better cloud processing experience in the future. 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Collection Names")]),e._v(" "),t("p",[e._v("The naming of data sets (collections) is different across providers. We thought about recommending to follow lists like the "),t("a",{attrs:{href:"http://database.eohandbook.com/database/missionindex.aspx",target:"_blank",rel:"noopener noreferrer"}},[e._v("CEOS Mission Index"),t("OutboundLink")],1),e._v(", but then the question is what data does it really refer to? It lists "),t("code",[e._v("Sentinel-2 A")]),e._v(" and "),t("code",[e._v("Sentinel-2 B")]),e._v(", but would that be Level 1C or 2A or something completely different? Therefore, openEO decided to not enforce any naming scheme as data sets throughout the affiliated providers were mostly differently pre-processed anyway. To improve the situation, openEO allows to define process parameters. This allows to define algorithms independently of data set names, which can later be assigned when executing the process. 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Other Names")]),e._v(" "),t("p",[e._v("Similarly, the naming of bands (and potentially other dimension labels, too) are inconsistent across providers, we faced names such as "),t("code",[e._v("B2")]),e._v(", "),t("code",[e._v("B02")]),e._v(", "),t("code",[e._v("2")]),e._v(" or "),t("code",[e._v("blue")]),e._v(" for Sentinel-2. openEO doesn't enforce any naming scheme, but has found ways to improve the situation for users. First, process parameters can be used (see above). 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Chunked Collections")]),e._v(" "),t("p",[e._v("Some providers (for example "),t("a",{attrs:{href:"https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR",target:"_blank",rel:"noopener noreferrer"}},[e._v("Google Earth Engine"),t("OutboundLink")],1),e._v(") expose data sets such as Sentinel-2 L2A as one large collection. Other providers expose the data sets split into groups, e.g. chunked by CRS and resolution. EURAC has collections such as "),t("code",[e._v("S2_32632_60m_L2A")]),e._v(" or "),t("code",[e._v("S2_32635_10m_L2A")]),e._v(" for example. There are valid "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/180",target:"_blank",rel:"noopener noreferrer"}},[e._v("reasons"),t("OutboundLink")],1),e._v(" for any of the implementations, but to explain them is too much for this article. Unfortunately, those differences decrease the interoperability and in the end the re-usability of the processes. openEO aims to make algorithms re-usable and thus recommends to split processing instructions into two parts: data loading/pre-processing and the actual algorithm. This allows greater re-usability of the algorithms.")]),e._v(" "),t("h2",{attrs:{id:"_4-what-to-specify"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#_4-what-to-specify"}},[e._v("#")]),e._v(" 4. What to specify?")]),e._v(" "),t("p",[e._v("The API has a focus on Service and Data Discovery, Data Processing and Result Retrieval/Publishing. Some more customer-oriented tasks such as user registration and payments are not handled through the openEO API. These aspects are too different across providers and can be handled more efficiently through external interfaces. Most providers already offer such services independently of the openEO API implementation anyway to offer their pre-openEO services.")]),e._v(" "),t("p",[e._v("Still, the openEO API uses OpenID Connect as main Authentication and Authorization mechanism (see also point 5). "),t("a",{attrs:{href:"https://openid.net/connect/",target:"_blank",rel:"noopener noreferrer"}},[e._v("OpenID Connect"),t("OutboundLink")],1),e._v(" has a "),t("a",{attrs:{href:"https://openid.net/specs/openid-connect-prompt-create-1_0.html",target:"_blank",rel:"noopener noreferrer"}},[e._v("User Registration extension draft"),t("OutboundLink")],1),e._v(" that can be used by back-ends and may be adopted in the future. We closely follow upcoming specifications and standards and are happy to adopt anything useful.")]),e._v(" "),t("h3",{attrs:{id:"file-formats"}},[t("a",{staticClass:"header-anchor",attrs:{href:"#file-formats"}},[e._v("#")]),e._v(" File Formats")]),e._v(" "),t("p",[e._v("Similarly, file "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/63",target:"_blank",rel:"noopener noreferrer"}},[e._v("formats"),t("OutboundLink")],1),e._v(" and their "),t("a",{attrs:{href:"https://github.com/Open-EO/openeo-api/issues/32",target:"_blank",rel:"noopener noreferrer"}},[e._v("options"),t("OutboundLink")],1),e._v(' are often very different between processing software. That is why GDAL exists. To improve interoperability, the openEO API just recommends to align them with GDAL, which is used in most relevant software anyway. Unfortunately, this comes with some small inconveniences. 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a/documentation/0.4/developers/api/errors.html b/documentation/0.4/developers/api/errors.html index 5a3671234..d5d98237b 100644 --- a/documentation/0.4/developers/api/errors.html +++ b/documentation/0.4/developers/api/errors.html @@ -8,8 +8,8 @@ - - + +
openEO
- + diff --git a/documentation/0.4/developers/api/index.html b/documentation/0.4/developers/api/index.html index 051da1218..0c3a4a888 100644 --- a/documentation/0.4/developers/api/index.html +++ b/documentation/0.4/developers/api/index.html @@ -8,8 +8,8 @@ - - + +
openEO

- + diff --git a/documentation/0.4/developers/api/reference.html b/documentation/0.4/developers/api/reference.html index 292f0c85d..2260f00c3 100644 --- a/documentation/0.4/developers/api/reference.html +++ b/documentation/0.4/developers/api/reference.html @@ -8,8 +8,8 @@ - - + +
openEO

- + diff --git a/documentation/0.4/developers/arch.html b/documentation/0.4/developers/arch.html index bc63ee864..8ee278a36 100644 --- a/documentation/0.4/developers/arch.html +++ b/documentation/0.4/developers/arch.html @@ -8,8 +8,8 @@ - - + +
openEO

  • Architecture

# Architecture

The openEO API defines a language how clients communicate to back-ends in order to analyze large Earth observation datasets. The API will be implemented by drivers for specific back-ends. Some first architecture considerations are listed below.

  1. The openEO API is a contract between clients and back-ends that describes the communication only
  2. Each back-end runs its own API instance including the specific back-end driver. There is no API instance that runs more than one driver.
  3. Clients in R, Python, and JavaScript connect directly to the back-ends and communicate with the back-ends over HTTPS according to the openEO API specification.
  4. API instances can run on back-end servers or additional intermediate layers, which then communicate to back-ends in a back-end specific way.
  5. Back-ends may add functionality and extend the API wherever there is need.
  6. There will be a central back-end registry service (openEO Hub), to allow users to search for back-ends with specific functionality and or data.
  7. The openEO API may define profiles in order to group specific functionality.

Architecture - openEO API shown in dark blue

# Microservices

To simplify and structure the development, the API is divided into a few microservices.

Microservice Description
Capabilities This microservice reports on the capabilities of the back-end, i.e. which API endpoints are implemented, which authentication methods are supported, and whether and how UDFs can be executed at the back-end.
EO Data Discovery Describes which collections are available at the back-end.
Process Discovery Provides services to find out which processes a back-end provides, i.e., what users can do with the available data.
UDF Discovery and execution of user-defined functions.
Batch Job Management Organizes and manages batch jobs that run processes on back-ends.
File Management Organizes and manages user-uploaded files.
Process Graph Management Organizes and manages user-defined process graphs.
Secondary Services Management External web services to access data and job results such as a OGC WMTS service.
Account Management User management, accounting and authentication.
- + diff --git a/documentation/0.4/developers/backends/getting-started.html b/documentation/0.4/developers/backends/getting-started.html index fde7c446d..9fbf8d424 100644 --- a/documentation/0.4/developers/backends/getting-started.html +++ b/documentation/0.4/developers/backends/getting-started.html @@ -8,8 +8,8 @@ - - + +
openEO

# Getting started for back-end providers

As a back-end provider who wants to provide its datasets, processes and infrastructure to a broader audience through a standardized interface you may want to implement a driver for openEO.

First of all, you should go through the list of openEO repositories (opens new window) and check whether there is already a back-end driver that suits your needs. In this case you don't need to develop your own driver, but "only" need to ingest your data, adopt your required processes and set up the infrastructure. Please follow the documentation for the individual driver you want to use.

If your preferred technology has no back-end driver yet, you may consider writing your own driver. All software written for openEO should follow the software development guidelines.

You certainly need to understand the glossary, the architecture of openEO and the concepts behind processes and process graphs. This helps you read and understand the API specification. Technical API related documents like CORS and error handing should be read, too.

If you do not want to start from scratch, you could try to generate a server stub from the OpenAPI 3.0 (opens new window)-based API specification with the OpenAPI Generator (opens new window). If you are using Python to implement your driver you may reuse some common modules of the existing driver implementations:

You can implement a back-end in iterations. It is recommended to start by implementing the Capabilities microservice. EO Data Discovery, Process Discovery are important for the client libraries to be available, too. Afterwards you should implement Batch Job Management or synchronous data processing. All other microservices can be added later and are not strictly required to run openEO services. Keep in mind that you don't need to implement all endpoints in the first iteration and that you can specify in the Capabilities, which endpoints you are supporting.

For example, you could start by implementing the following endpoints in the first iteration:

  • Well-Known Document: GET /.well-known/openeo
  • Capabilities: GET / and GET /output_formats
  • Data discovery: GET /collections and GET /collections/{collection_id}
  • Process discovery: GET /processes
  • Data processing: POST /result
  • Authentication (if required): GET /credentials/basic

Afterwards you can already start experimenting with your first process graphs and process EO data with our client libraries on your back-end.

- + diff --git a/documentation/0.4/developers/backends/udfs.html b/documentation/0.4/developers/backends/udfs.html index a7c9967e4..52e3b377e 100644 --- a/documentation/0.4/developers/backends/udfs.html +++ b/documentation/0.4/developers/backends/udfs.html @@ -8,8 +8,8 @@ - - + +
openEO

  • User-defined functions

# User-defined functions

The abbreviation UDF stands for user-defined function. With this concept, users are able to upload custom code and have it executed e.g. for every pixel of a scene, allowing custom calculations on server-side data.

UDFs are currently developed and evaluated outside of the core API. More information regarding the current draft for UDFs can be found in a separate repository (opens new window). There is additional documentation available for the UDF Framework (opens new window) and the UDF API (opens new window).

- + diff --git a/documentation/0.4/developers/clients/getting-started.html b/documentation/0.4/developers/clients/getting-started.html index 206588d93..f12536bac 100644 --- a/documentation/0.4/developers/clients/getting-started.html +++ b/documentation/0.4/developers/clients/getting-started.html @@ -8,8 +8,8 @@ - - + +
openEO

# Getting started for client developers

For easy access to openEO back-ends it is essential to provide client libraries for users in their well-known programming languages or working environments. This can be either a client library for a specific programming language that hides the technical details of the openEO API or an application with a user interface, e.g. a GIS software plugin or a web-based tool. All software written for openEO should follow the software development guidelines.

# Client library developers

If your preferred programming language is not part of the available client libraries you may consider writing your own client library. Our client libraries are basically translating the openEO API into native concepts of the programming languages. Working with openEO should feel like being a first-class citizen (opens new window) of the programming language.

Get started by reading the guidelines to develop client libraries, which have been written to ensure the client libraries provide a consistent feel and behavior across programming languages. You certainly need to understand the glossary and the concepts behind processes and process graphs. This helps you understand the API specification and related documents.

If you do not want to start from scratch, you could try to generate a client library stub from the OpenAPI 3.0 (opens new window)-based API specification with the OpenAPI Generator (opens new window). Make sure the generated code complies to the client library guidelines mentioned above.

# Applications and Software plugins

Standalone applications and software plugins written in a certain programming language could use the existing client libraries to facilitate access to openEO back-ends. Web applications potentially could use the JavaScript client (opens new window) to access openEO back-ends. Back-Ends may also provide standardized web interfaces such as OGC WMS or OGC WCS to access processed EO data.

- + diff --git a/documentation/0.4/developers/clients/library-guidelines.html b/documentation/0.4/developers/clients/library-guidelines.html index 19b7f6209..65fef76dd 100644 --- a/documentation/0.4/developers/clients/library-guidelines.html +++ b/documentation/0.4/developers/clients/library-guidelines.html @@ -8,8 +8,8 @@ - - + + - + diff --git a/documentation/0.4/developers/examples/index.html b/documentation/0.4/developers/examples/index.html index b36defb60..b464a3672 100644 --- a/documentation/0.4/developers/examples/index.html +++ b/documentation/0.4/developers/examples/index.html @@ -8,8 +8,8 @@ - - + +
openEO

  • Examples

# Examples

This section contains process graphs that show how the openEO processes work in practice.

Please feel encouraged to add your examples via Pull Requests!

- + diff --git a/documentation/0.4/developers/examples/poc.html b/documentation/0.4/developers/examples/poc.html index c64815790..2e4761e23 100644 --- a/documentation/0.4/developers/examples/poc.html +++ b/documentation/0.4/developers/examples/poc.html @@ -8,8 +8,8 @@ - - + + - + diff --git a/documentation/0.4/developers/index.html b/documentation/0.4/developers/index.html index ede0f3801..d04303798 100644 --- a/documentation/0.4/developers/index.html +++ b/documentation/0.4/developers/index.html @@ -8,8 +8,8 @@ - - + +
openEO

# Introduction

This is the openEO Developer Documentation for API versions 0.4.x.

The openEO API defines a HTTP API that lets cloud back-ends with large Earth observation datasets communicate with front end analysis applications in an interoperable way.

As an overview, the openEO API specifies how to

  • discover which Earth observation data and processes are available at cloud back-ends,
  • execute (chained) processes on back-ends,
  • run user-defined functions (UDFs) on back-ends where UDFs can be exposed to the data in different ways,
  • download (intermediate) results, and
  • manage user content including billing.

The API is defined as an OpenAPI 3.0 (opens new window) JSON file.

# Additional information

- + diff --git a/documentation/0.4/getting-started.html b/documentation/0.4/getting-started.html index fe69a77fd..8849d42aa 100644 --- a/documentation/0.4/getting-started.html +++ b/documentation/0.4/getting-started.html @@ -8,8 +8,8 @@ - - + +
openEO

# Getting started for users

Currently, there are three official client libraries, a web-based interface for openEO and a QGIS plugin.

If you are unfamiliar with programming, you could start using the web-based editor for openEO (opens new window). It supports visual modelling of your algorithms and a simplified JavaScript based access to the openEO workflows and providers. openEO can also be used in QGIS through a QGIS plugin (opens new window).

If you are familiar with programming, you could choose a client library for three programming languages:

Follow the links above to find usage instructions for each of the client libraries.

# Contribute

Didn't find your programming language? You can also access the openEO API implementations directly or start implementing your own client library.

If you are missing any functionality in the API feel free to open an issue (opens new window) or actively start proposing API changes as Pull Requests.

Feel free to contact us for further assistance.

- + diff --git a/documentation/0.4/glossary.html b/documentation/0.4/glossary.html index 7282a14bf..612514142 100644 --- a/documentation/0.4/glossary.html +++ b/documentation/0.4/glossary.html @@ -8,8 +8,8 @@ - - + +
openEO
- + diff --git a/documentation/0.4/index.html b/documentation/0.4/index.html index a4a5fc14b..5ce0abe43 100644 --- a/documentation/0.4/index.html +++ b/documentation/0.4/index.html @@ -8,8 +8,8 @@ - - + +
openEO

  • openEO Documentation

# openEO Documentation

This is the openEO Documentation for API versions 0.4. This version is outdated and got replaced by API version 1.0.

Some useful links to get started:

Feel encouraged to use the "User Documentation" and "Developers" menu items for further navigation through the documentation.

- + diff --git a/documentation/0.4/processes.html b/documentation/0.4/processes.html index 49d3e449d..9d238f067 100644 --- a/documentation/0.4/processes.html +++ b/documentation/0.4/processes.html @@ -8,8 +8,8 @@ - - + +
openEO

Note: This is the list of all processes specified by the openEO project. Back-ends implement a varying set of processes. Thus, the processes you can use at a specific back-end may derive from the specification, may include non-standardized processes and may not implement all processes listed here. Please check each back-end individually for the processes they support. The client libraries usually have a function called listProcesses or list_processes for that.

- + diff --git a/documentation/0.4/udfs.html b/documentation/0.4/udfs.html index b024afb15..0523f39d4 100644 --- a/documentation/0.4/udfs.html +++ b/documentation/0.4/udfs.html @@ -8,8 +8,8 @@ - - + +
openEO

  • User-defined functions

# User-defined functions

The abbreviation UDF stands for user-defined function. With this concept, users are able to upload custom code and have it executed e.g. for every pixel of a scene, allowing custom calculations on server-side data.

UDFs are currently developed and evaluated outside of the core API. More information regarding the current draft for UDFs can be found in a separate repository (opens new window). There is additional documentation available for the UDF Framework (opens new window) and the UDF API (opens new window).

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# Authentication

While a couple of openEO operations can be done anonymously, most of the interesting parts of the API require you to identify as a registered user. openEO specifies two ways to authenticate as a user:

# HTTP Basic

Let's start with the easiest authentication method, based on the HTTP Basic authentication scheme. It is however not recommended for various reasons, such as its limited security measures. For example, if you are connecting to a back-end with a http:// URL (unencrypted; discouraged in openEO) instead of a https:// one (encrypted), you should certainly not use HTTP Basic authentication.

With these security related caveats out of the way, you authenticate using your username and password. The clients usually have a authenticate_basic method for this or graphical clients (e.g. QGIS and the Web Editor) will ask for your username and password directly.

Further Information

# OpenID Connect

OpenID Connect (OIDC) is an identity layer on top of the OAuth 2.0 protocol. It is a quite an extensive stack of interacting actors and protocols, and an in-depth discussion of its architecture would lead us too far here. However, in the context of working with openEO, these OpenID Connect concepts are useful to understand:

  • There is decoupling between:

    • the OpenID Connect identity provider (the platform that handles the authentication of the user)
    • the openEO back-end, which manages earth observation collections and executes your algorithms

    openEO back-ends can decide to host their own OpenID Connect infrastructure, but they may also allow to authenticate with an external OpenID Connect provider, which could be an organization like Google or Microsoft. This means that the back-end does not have to take care of all the security and privacy challenges of properly handling user registration, authentication, etc. Also, it allows the user to securely reuse an existing account registered with an established organization, instead of having to register yet another account with some web service.

    Note

    An openEO back-end might support multiple OpenID Connect providers. If there is only one, the openEO client libraries will usually pick it automatically, but otherwise you may need to decide explicitly which provider to authenticate against.

  • Your openEO script or application acts as a so called OpenID Connect client, with an associated client ID. This practically means that, apart from a user account, you need a client ID as well (and often a client secret too) when authenticating.

    The details of how to obtain the client ID and secret largely depend on the back-end and OpenID Connect provider: you might have to register a client yourself, or you might have to use an existing client ID. Consult the openEO back-end (documentation) about how to obtain client ID (and secret).

  • There are several possible "flows" (also called "grants") to complete the whole OpenID Connect authentication dance:

    • Authorization Code Flow
    • Device Flow
    • Client Credentials Flow
    • Resource Owner Password flow
    • Refresh Token Flow

    Picking the right flow highly depends on your use case and context: are you working interactively, are you working in a browser based environment, should your application be able to work without user interaction in the background, what does the OpenID Connect provider support, ...?

OpenID Connect is clearly more complex than HTTP Basic Authentication. In the sections below we will discuss the practical details of each flow.

Further Information

# Authorization Code Flow

This is the most popular and widely supported OpenID Connect flow in the general web development world. However, it requires an environment that can be hard to get right when using in other environments like a mobile app or a CLI (command line interface). Some prerequisites must be met:

  • You are working interactively (e.g. in a Jupyter notebook, in a Python or R shell or running a script manually)
  • You have access to a web browser (preferably on the same machine as your application), to authenticate with the OpenID Connect provider
  • The web browser has (network) access
  • A URL must be whitelisted in the OpenID client's "redirect URL" configuration at the OpenID Connect provider's side.

For authentication, the client forwards a user to the log-in page of the OpenID Connect provider. There the user can log in with an existing account (or create a new one) and then generally has to explicitly grant access to basic profile information (e.g. email address) that the back-end will use to identify the user.

# Device Flow

The device flow (also called device authorization grant) is a relatively new OpenID Connect flow and it is not as widely supported across different OpenID Connect Providers as the other flows. It provides a nice alternative that is roughly comparable to the authorization code flow but without the previously mentioned issues related to short-living webservers, network access and browser redirects.

The device flow is only suited for interactive use cases and requires a web browser for the authentication with the OpenID Connect provider. However, it can be any web browser, even one on your mobile phone. There is no networking magic required to be able to access any short-living background webserver like with the authorization code flow.

The "magic" is that the client will show a message like this:

To authenticate: visit https://provider.example.com/device
 and enter the user code 'DTNY-KLNX'.

You should now visit this URL. Usually it is intentionally a short URL to make it feasible to type it instead of copy-pasting it (e.g. on another device). Authenticate with the OpenID Connect provider and enter the user code shown in the message. Meanwhile, the client library is usually actively polling the OpenID Connect provider and when you successfully complete the authentication and entering of the user code, it will receive the necessary tokens for authenticated communication with the back-end.

# Client Credentials Flow

The Client Credentials flow directly uses the client ID and secret to authenticate. It does not involve interactive authentication through a web browser, which makes it useful for non-interactive use cases.

The downside is of the Client Credentials flow is that it can be challenging or even impossible with a given OpenID Connect provider, to set up a client that supports this. Also, your openEO back-end might not allow it, because technically you are authenticating a client, and not a user.

# Resource Owner Password flow

With the Resource Owner Password flow you directly pass the user (and client) credentials. Like the Client Credentials flow, it is useful for non-interactive uses cases.

However, usage of the Resource Owner Password flow is generally discouraged because of its poor security features (e.g. OAuth/OIDC was designed to avoid passing and storing user passwords unnecessarily). It is also not widely supported across OpenID Connect providers, probably due to its weak security measures.

# Refresh Token Flow

When OpenID Connect authentication completes successfully, the client receives an access token to be used when doing authenticated calls to the back-end. The access token usually has a short lifetime to reduce the security risk when it would be stolen or intercepted. The client also receives a refresh token that can be used, through the Refresh Token flow, to easily request a new access token, without having to re-authenticate, which makes it useful for non-interactive uses cases.

However, as it needs an existing refresh token, the Refresh Token Flow requires first to authenticate with one of the other flows (but in practice it might not be required very often because refresh tokens usually have a relatively long lifetime).

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  • Datacube Documentation

# Datacube Documentation

This documentation on datacubes is part of the openEO documentation.

The folder .scripts contains script*s that output the figures contained in this directory.

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  • openEO error codes

# openEO error codes

The general error handling in the openEO API is documented in the API documentation.

The following table of error codes is incomplete. These error codes will evolve over time. If you are missing any common error, please contribute it by adding an issue (opens new window), creating a pull request (opens new window) or get in contact.

The whole table of error codes is available as JSON file, which can be used by implementors to automatically generate error responses.

Account Management

openEO Error Code Description Example Message HTTP Status Code
AuthenticationRequired The client did not provide any authentication details for a resource requiring authentication or the provided authentication details are not correct. Unauthorized. 401
AuthenticationSchemeInvalid Invalid authentication scheme (e.g. Bearer). Authentication method not supported. 403
TokenInvalid Authorization token has expired or is invalid. Please authenticate again. 403
CredentialsInvalid Credentials are not correct. 403
PermissionsInsufficient Forbidden. The client did provided correct authentication details, but the privileges/permissions of the provided credentials do not allow to request the resource. Forbidden. The permissions of the authenticated account do not allow to request the requested resource. 403

Batch Jobs

openEO Error Code Description Example Message HTTP Status Code
BudgetInvalid The budget is too low as it is either smaller than or equal to 0 or below the costs. The specified budget is too low. 400
EstimateComplexity The process is too complex to calculate an estimate, e.g. due to a UDF or other processes that are complex to estimate costs reliably. The process is too complex to calculate an estimate. 500
NoDataForUpdate For PATCH requests: No valid data specified at all. No data specified to be updated. 400
PropertyNotEditable For PATCH requests: The specified parameter can't be updated. It is read-only. The specified property '{property}' is read-only. 400
StorageFailure Server couldn't store file(s) due to server-side reasons. Unable to store files due to a server error. Please try again later or contact our support. 500
StorageQuotaExceeded The storage quota has been exceeded by the user. Your storage quota has been exceeded. 400
ProcessInvalid The process given is invalid, which ususlly means that the process metadata is invalid. Invalid process specified. 400
ProcessGraphMissing The process doesn't contain a process graph. For jobs, services, and sync. processing the parameter `process` must contain a `process_graph`. Invalid process specified. It doesn't contain a process graph. 400
ProcessGraphInvalid The process doesn't contain a valid process graph, which means it doesn't comply to the general structure / schema. Invalid process graph specified. 400
JobNotFound The requested job does not exist. The batch job '{identifier}' does not exist. 404
JobLocked The job is currently locked due to a running batch computation and can't be modified meanwhile. Batch job is locked due to a queued or running batch computation. 400
JobNotFinished Batch job has not finished computing the results yet. Please try again later or contact our support. 400
JobNotStarted Job has not been queued or started yet or was canceled and not restarted by the user. Batch job must be started first. 400
ResultLinkExpired The signed URLs for batch job results have expired. Please send a request to `GET /jobs/{job_id}/results` to refresh the links. The link to the batch job result has expired. Please request the results again. 410
PaymentRequired The budget required to fulfil the request is insufficient. The budget required to fulfil the request is not sufficient. A payment is required first. 402
BillingPlanInvalid The billing plan is not on the list of available plans. The billing plan is invalid. 400
BillingPlanMissing No billing plan has been specified by the user and the billing plan can't be determined unambiguously. A billing plan must be specified. 400

Data Processing

openEO Error Code Description Example Message HTTP Status Code
RequestTimeout The request took too long and timed out. Request timed out. 408
BudgetInvalid The budget is too low as it is either smaller than or equal to 0 or below the costs. The specified budget is too low. 400
ProcessInvalid The process given is invalid, which ususlly means that the process metadata is invalid. Invalid process specified. 400
ProcessGraphMissing The process doesn't contain a process graph. For jobs, services, and sync. processing the parameter `process` must contain a `process_graph`. Invalid process specified. It doesn't contain a process graph. 400
ProcessGraphInvalid The process doesn't contain a valid process graph, which means it doesn't comply to the general structure / schema. Invalid process graph specified. 400
ProcessGraphComplexity The process graph is too complex for synchronous processing and will likely time out. Please use a batch job instead. The process is too complex for for synchronous processing. Please use a batch job instead. 400
ProcessUnsupported A process (predefined or user-defined) with the specified identifier is not available. To be used when validating or executing process graphs. Process with identifier '{process}' is not available in namespace '{namespace}'. 400
ProcessParameterUnsupported Process '{process}' does not support parameter '{parameter}'. 400
ProcessParameterInvalid The value passed for parameter '{parameter}' in process '{process}' is invalid: {reason} 400
ProcessParameterRequired Process '{process}' parameter '{parameter}' is required. 400
BillingPlanInvalid The billing plan is not on the list of available plans. The billing plan is invalid. 400
BillingPlanMissing No billing plan has been specified by the user and the billing plan can't be determined unambiguously. A billing plan must be specified. 400

EO Data Discovery

openEO Error Code Description Example Message HTTP Status Code
CollectionNotFound The requested collection does not exist. Collection '{identifier}' does not exist. 404

File Management

openEO Error Code Description Example Message HTTP Status Code
StorageFailure Server couldn't store file(s) due to server-side reasons. Unable to store files due to a server error. Please try again later or contact our support. 500
StorageQuotaExceeded The storage quota has been exceeded by the user. Your storage quota has been exceeded. 400
FileNotFound The requested file does not exist. File '{file}' does not exist. 404
FilePathInvalid The specified path is invalid or not accessible. Path could contain invalid characters, point to an existing folder or a location outside of the user folder. File path is invalid: {reason} 400
FileOperationUnsupported The file operation is not supported for the specified path. 400
FolderOperationUnsupported The specified path is a folder and the operation is only supported for files. Operation is only supported for files, not folders. 400
ContentTypeInvalid The specified media (MIME) type used in the Content-Type header is not allowed. The media type is not supported. Allowed: {types} 400
FileTypeInvalid File format or file extension is not allowed. File format {type} not allowed. Allowed file formats: {types} 400
FileSizeExceeded File exceeds allowed maximum file size. File size it too large. Maximum file size: {size} 400
FileContentInvalid The content of the file is invalid. File content is invalid. 400
FileLocked The file is locked by a running job or another process. File '{file}' is locked by another process. 400

General

openEO Error Code Description Example Message HTTP Status Code
Internal An internal server error with a proprietary message. Server error: {message} 500
NotFound To be used if the requested resource does not exist. Note: There are specialized errors for missing jobs (JobNotFound), files (FileNotFound), etc. Unsupported endpoints MAY send an 'FeatureUnsupported' (501) error. Resource not found. 404
FeatureUnsupported The back-end responds with this error whenever an endpoint is specified in the openEO API, but is not supported. Feature not supported. 501
InfrastructureMaintenance Service is currently not available as the infrastructure is currently undergoing maintenance work. Service is not available at the moment due to maintenance work. Please try again later or contact our support. 503
InfrastructureBusy Service is generally available, but the infrastructure can't handle it at the moment as too many requests are processed. Service is not available at the moment due to overloading. Please try again later or contact our support. 503
UnsupportedApiVersion The service doesn't support the openEO API version specified in the request URL. Clients should check well-known document for supported versions. The requested API version '{version}' is not supported. 404
RequestTimeout The request took too long and timed out. Request timed out. 408
ContentTypeInvalid The specified media (MIME) type used in the Content-Type header is not allowed. The media type is not supported. Allowed: {types} 400

Secondary Services

openEO Error Code Description Example Message HTTP Status Code
BudgetInvalid The budget is too low as it is either smaller than or equal to 0 or below the costs. The specified budget is too low. 400
NoDataForUpdate For PATCH requests: No valid data specified at all. No data specified to be updated. 400
PropertyNotEditable For PATCH requests: The specified parameter can't be updated. It is read-only. The specified property '{property}' is read-only. 400
ProcessInvalid The process given is invalid, which ususlly means that the process metadata is invalid. Invalid process specified. 400
ProcessGraphMissing The process doesn't contain a process graph. For jobs, services, and sync. processing the parameter `process` must contain a `process_graph`. Invalid process specified. It doesn't contain a process graph. 400
ProcessGraphInvalid The process doesn't contain a valid process graph, which means it doesn't comply to the general structure / schema. Invalid process graph specified. 400
PaymentRequired The budget required to fulfil the request is insufficient. The budget required to fulfil the request is not sufficient. A payment is required first. 402
BillingPlanInvalid The billing plan is not on the list of available plans. The billing plan is invalid. 400
BillingPlanMissing No billing plan has been specified by the user and the billing plan can't be determined unambiguously. A billing plan must be specified. 400
ServiceNotFound The requested secondary service does not exist. Service '{identifier}' does not exist. 404
ServiceUnsupported Service type '{type}' is not supported. 400
ServiceConfigUnsupported Refers to the secondary service `configuration` object. Service parameter '{parameter}' is not supported. 400
ServiceConfigInvalid Refers to the secondary service `configuration` object. The value passed for the service parameter '{parameter}' is invalid: {reason} 400
ServiceConfigRequired Refers to the secondary service `configuration` object. Service parameter '{parameter}' is required. 400

User-Defined Processes

openEO Error Code Description Example Message HTTP Status Code
ProcessGraphNotFound The requested user-defined process does not exist. To be used for all endpoints starting with `/process_graphs`. User-defined process '{identifier}' does not exist. 404
ProcessInvalid The process given is invalid, which ususlly means that the process metadata is invalid. Invalid process specified. 400
ProcessGraphMissing The process doesn't contain a process graph. For jobs, services, and sync. processing the parameter `process` must contain a `process_graph`. Invalid process specified. It doesn't contain a process graph. 400
ProcessGraphInvalid The process doesn't contain a valid process graph, which means it doesn't comply to the general structure / schema. Invalid process graph specified. 400
PredefinedProcessExists If a user wants to store a user-defined process with the id of a predefined process. A predefined process with the given identifier exists. 400
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# Architecture

The openEO API defines a language for how clients communicate to back-ends in order to analyze large Earth observation datasets. The API will be implemented by drivers for specific back-ends. Some first architecture considerations are listed below.

  1. The openEO API is a contract between clients and back-ends that describes the communication only
  2. Each back-end runs its own API instance including the specific back-end driver. There is no API instance that runs more than one driver.
  3. Clients in R, Python, and JavaScript connect directly to the back-ends and communicate with the back-ends over HTTPS according to the openEO API specification.
  4. API instances can run on back-end servers or additional intermediate layers, which then communicate to back-ends in a back-end specific way.
  5. Back-ends may add functionality and extend the API wherever there is need.
  6. There will be a central back-end registry service (openEO Hub), to allow users to search for back-ends with specific functionality and or data.
  7. The openEO API may define profiles in order to group specific functionality.

Architecture - openEO API shown in dark blue

# Microservices

To simplify and structure the development, the API is divided into a few microservices.

Microservice Description
Capabilities This microservice reports on the capabilities of the back-end, i.e. which API endpoints are implemented, which authentication methods are supported, and whether and how UDFs can be executed at the back-end.
EO Data Discovery Describes which collections are available at the back-end.
Process Discovery Provides services to find out which processes a back-end provides, i.e., what users can do with the available data.
Data Processing Organizes and manages data processing on the back-end, either as synchronous on-demand computation or batch jobs.
File Storage Organizes and manages user-uploaded files.
User-Defined Processes Organizes and manages user-defined processes (process graphs).
Secondary Services External web services to access data and job results such as a OGC WMTS service.
Account Management User management, accounting and authentication.
UDF Runtime Execution of user-defined functions, not part of the Core API. See the UDF documentation for more information.
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# Getting started for service (back-end) providers

As a back-end provider who wants to provide its datasets, processes and infrastructure to a broader audience through a standardized interface you may want to implement a driver for openEO.

First of all, you should go through the list of openEO repositories (opens new window) and check whether there is already a back-end driver that suits your needs. In this case you don't need to develop your own driver, but "only" need to ingest your data, adopt your required processes and set up the infrastructure. Please follow the documentation for the individual driver you want to use.

If your preferred technology has no back-end driver yet, you may consider writing your own driver. All software written for openEO should follow the software development guidelines.

You certainly need to understand the glossary, the architecture of openEO and the concepts behind processes and process graphs. This helps you read and understand the API specification. Technical API related documents like CORS and error handing should be read, too.

If you do not want to start from scratch, you could try to generate a server stub from the OpenAPI 3.0 (opens new window)-based API specification with the OpenAPI Generator (opens new window). If you are using Python to implement your driver you may reuse some common modules of the existing driver implementations:

You can implement a back-end in iterations. It is recommended to start by implementing the Capabilities microservice. EO Data Discovery, Process Discovery are important for the client libraries to be available, too. Afterwards you should implement Batch Job Management or synchronous data processing. All other microservices can be added later and are not strictly required to run openEO services. Keep in mind that you don't need to implement all endpoints in the first iteration and that you can specify in the Capabilities, which endpoints you are supporting.

For example, you could start by implementing the following endpoints in the first iteration:

  • Well-Known Document: GET /.well-known/openeo
  • Capabilities: GET / and GET /file_formats
  • Data discovery: GET /collections and GET /collections/{collection_id}
  • Process discovery: GET /processes
  • Data processing: POST /result
  • Authentication (if required): GET /credentials/basic

A more detailed recommendation about the endpoints and processes to implement can be found in the API and Processes profiles.

Afterwards you can already start experimenting with your first process graphs and process EO data with our client libraries on your back-end.

More information will follow soon, for example about back-end compliance testing.

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# Getting started for client developers

For easy access to openEO back-ends it is essential to provide client libraries for users in their well-known programming languages or working environments. This can be either a client library for a specific programming language that hides the technical details of the openEO API or an application with a user interface, e.g. a GIS software plugin or a web-based tool. All software written for openEO should follow the software development guidelines.

# Client library developers

If your preferred programming language is not part of the available client libraries you may consider writing your own client library. Our client libraries are basically translating the openEO API into native concepts of the programming languages. Working with openEO should feel like being a first-class citizen (opens new window) of the programming language.

Get started by reading the guidelines to develop client libraries, which have been written to ensure the client libraries provide a consistent feel and behavior across programming languages. You certainly need to understand the glossary and the concepts behind processes and process graphs. This helps you understand the API specification and related documents.

If you do not want to start from scratch, you could try to generate a client library stub from the OpenAPI 3.0 (opens new window)-based API specification with the OpenAPI Generator (opens new window). Make sure the generated code complies to the client library guidelines mentioned above.

More information will follow soon, for example about client testing.

# Applications and Software plugins

Standalone applications and software plugins written in a certain programming language could use the existing client libraries to facilitate access to openEO back-ends. Web applications potentially could use the JavaScript client (opens new window) to access openEO back-ends. Back-Ends may also provide standardized web interfaces such as OGC WMS or OGC WCS to access processed EO data.

More information will follow soon...

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# Introduction

The openEO API defines a HTTP API that lets cloud back-ends with large Earth observation datasets communicate with front end analysis applications in an interoperable way.

As an overview, the openEO API specifies how to

  • discover which Earth observation data and processes are available at cloud back-ends,
  • execute (chained) processes on back-ends,
  • run user-defined functions (UDFs) on back-ends where UDFs can be exposed to the data in different ways,
  • download (intermediate) results, and
  • manage user content including billing.

The API is defined as an OpenAPI 3.0 (opens new window) YAML file.

The API and processes are grouped into compliance profiles.

# Additional information

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# API Profiles

The following image provides an overview of the openEO API profiles. The minimal profile that allows an openEO API implementation to be called "openEO-compliant" is L1 Minimal with additionally compliance to at least of L1A, L1B, or L1C.

The hierarchy of openEO API profiles: L1 Minimal -> L1A/B/C -> L2 Recommended -> L3 Advanced (with sub-profiles) -> L4 Above and Beyond
An overview of the openEO API profiles.
  • L1 Minimal ensures that the openEO implementation has a minimal set of functionality which allow users to execute basic use-cases.
  • L2 Recommended add functionality that we recommend to be available so that users can more effectively make use of the openEO implementation.
  • L3 Advanced allows users to execute more advanced use cases. The sub-profiles can add a specific set of functionalities centered around specific needs:
    • L3-UDF adds support for User-Defined Functions (users can run custom source code)
    • L3-FS adds support for File Storage (users can upload, use, and delete custom files)
    • L3-SWS adds advanced suppoort for Secondary Web Services (e.g. on-demand processing through a tiling service such as OGC WMTS)
  • L4 Above and Beyond adds very specific and complex requirements for very specific and highly advanced use cases. Additionally, there are also various API extensions defined in the API specification, which are not listed as part of the profiles.

In the following chapter you can find a list of requirements per profile, grouped by categories.

# Requirements per Profile

# L1: Minimal

# API fundamentals

# Functionality Description
1 All > CORS OPTIONS method with all headers
2 All > CORS Access-Control-Allow-Origin for GET, POST, PUT, PATCH, DELETE
3 All > CORS Access-Control-Expose-Headers for GET, POST, PUT, PATCH, DELETE
4 All > HTTPS HTTPS supported
5 All > UTF-8 Charset is UTF-8 for all requests and responses
6 All > Error Handling Returns HTTP status codes between 400 and 599 for errors
7 All > Error Handling Returns a JSON object with at least code and message properties
13 All > Process Graphs Callback support

# Well-known Discovery

# Functionality Description
21 GET /.well-known/openeo Valid response with at least url and api_version per instance (without authentication)

# Capabilities

# Functionality Description
30 GET / Valid response with at least api/backend/stac_version, id, title, description, endpoints and links (w/o auth)
31 GET / > endpoints All implemented endpoints listed with methods
32 GET / > endpoints No endpoints listed that are not implemented or faulty
33 GET / > api_version Implements openEO API version 1.2.0 (or 1.1.0)
34 GET / > stac_version Implements STAC version 1.0.0 (or 0.9.0)

# File Formats

# Functionality Description
40 GET /file_formats Valid response with input and output properties
41 GET /file_formats Works without authentication
42 GET /file_formats Works with authentication
43 GET /file_formats > output At least one output file format available
46 GET /file_formats File format names get accepted case Insensitive
48 GET /file_formats Each format has at least gis_data_types and parameters

# Authentication

# Functionality Description
100 Bearer token follows the specified format (method/identityProviderId/token)
101 All that require a Bearer token > Error Handling Returns HTTP status codes 401 if no authentication details are provided
102 All that require a Bearer token > Error Handling Returns HTTP status codes 403 if invalid credentials or credentials with insufficient permissions are provided
110 GET /credentials/* At least one authentication method is supported (HTTP Basic or OIDC)

# Pre-defined Processes

# Functionality Description
200 GET /processes Valid response with at least processes and links as arrays
201 GET /processes Works without authentication
202 GET /processes Works with authentication
204 GET /processes > limit parameter All processes are returned if no limit parameter is provided
209 GET /processes > processes Missing properties in the process objects are not set to null if not valid according to the OpenAPI schema

# Collections

# Functionality Description
300 GET /collections Valid response with at least collections and links as arrays
301 GET /collections Works without authentication
302 GET /collections Works with authentication
303 GET /collections Supports a valid STAC version (0.9.0 or later, preferrably 1.0.0).
306 GET /collections > limit parameter All collections are returned if no limit parameter is provided
307 GET /collections > collections All collections are valid according to the STAC specification 0.9 or later (stac_version, id, description, license, extent and links are required)
313 GET /collections > collections Missing properties in the collection objects are not set to null if not valid according to the OpenAPI schema
320 GET /collections/{id} Is supported
321 GET /collections/{id} Response is valid according to the STAC specification 0.9 or later (additionally, cube:dimensions and summaries are required)
322 GET /collections/{id} Works without authentication
323 GET /collections/{id} Works with authentication
326 GET /collections/{id} > cube:dimensions All collections provide their actual data cube dimensions

# Data Processing

# Functionality Description
700 status Job follows described status changes (see description of status property in GET /jobs/{id})
701 At least one of batch jobs, secondary web services or synchronous processing is implemented

# L1A: Minimal - Synchronous Processing

# Synchronous Processing

# Functionality Description
900 POST /result Is supported (with authentication)
901 POST /result > process Only accepts valid process submissions
905 POST /result Returns HTTP status 200 on success with the data in the response body, HTTP status codes 4XX or 5XX on failure with valid response body
906 POST /result > Content-Type header Returns suitable media type for the requested file format (not always application/octet-stream) in the Content-Type header
910 POST /result Rejects processing if a payment is required.

# L1B: Minimal - Batch Jobs

# Batch Jobs

# Functionality Description
710 GET /jobs Is supported (with authentication)
711 GET /jobs Valid response with at least jobs and links as arrays
713 GET /jobs > limit parameter All jobs are returned if no limit parameter is provided
714 GET /jobs > jobs The served job metadata is valid according to the specification (id, status and created are required)
715 GET /jobs > jobs title is provided for all jobs (if provided by the user)
730 POST /jobs Supports creating batch jobs (with authentication)
731 POST /jobs > process Only accepts valid process submissions
734 POST /jobs Supports storing title and description
736 POST /jobs Returns HTTP status 201 and OpenEO-Identifier + Location header if successful
737 POST /jobs > status Job status is "created" after successful creation of the job, the data processing does not start yet
750 GET /jobs/{id} Is supported (with authentication)
751 GET /jobs/{id} Returns at least id, process, status and created
752 GET /jobs/{id} title and description are available if provided by the user
754 GET /jobs/{id} > status Correctly reports status (and progress, if supported)
780 DELETE /jobs/{id} Is supported (with authentication)
781 DELETE /jobs/{id} Deletes the job and returns a HTTP 204 on success, otherwise a 4XX.

# Batch Jobs > Results

# Functionality Description
850 POST /jobs/{id}/results Supports queueing/starting jobs (with authentication)
851 POST /jobs/{id}/results Queues or starts the processing, which is reflected in the job status. Does nothing if already queued or running. Responds with HTTP status 202.
852 POST /jobs/{id}/results Rejects queueing a job if a payment is required.
860 GET /jobs/{id}/results Is supported (with authentication)
861 GET /jobs/{id}/results Returns HTTP status code 200 if the result is available, HTTP status code 424 with error message if the job status is "error", 4XX/5XX otherwise.
863 GET /jobs/{id}/results > partial parameter If processing has not finished and the partial parameter is not set to true, requests are rejected with openEO error JobNotFinished.
865 GET /jobs/{id}/results > STAC Response is a valid STAC Item or Collection
866 GET /jobs/{id}/results > STAC Supports a valid STAC version (0.9.0 or later, preferrably 1.0.0).
869 GET /jobs/{id}/results > STAC Assets all have an href and type, ideally also a title
870 GET /jobs/{id}/results > STAC Additional metadata is provided for the results (e.g. extents, projection, bands, dimensions). Please provide details in the comments.
871 GET /jobs/{id}/results > public access link Support canonical links (a public access signed URL, exposed as link with relation type canonical)
872 GET /jobs/{id}/results > public access link Exposes the expires property in the response body
890 DELETE /jobs/{id}/results Is supported (with authentication)
891 DELETE /jobs/{id}/results Cancels data processing (if queued or running), optionally deletes the batch job results and returns a HTTP 202 on success.

# L1C: Minimal - Secondary Web Services

# Secondary Web Service Discovery

# Functionality Description
600 GET /service_types Is supported
601 GET /service_types Works without authentication
602 GET /service_types Works with authentication
603 GET /service_types Valid response with at least configuration and process_parameters per service

# Secondary Web Services

# Functionality Description
610 GET /services Is supported (with authentication)
611 GET /services Valid response with at least services and links as arrays
613 GET /services > limit parameter All services are returned if no limit parameter is provided
614 GET /services > services The served service metadata is valid according to the specification (id, url, type and enabled are required)
615 GET /services > services title is provided for all services (if provided by the user)
630 POST /services Supports creating services (with authentication)
631 POST /services > process Only accepts valid process submissions
632 POST /services > configuration Supports configuration parameters, rejects invalid configuration parameters
633 POST /services > type Rejects invalid types, accepts types case insensitive
636 POST /services Supports storing title, description and enabled
638 POST /services Returns HTTP status 201 and OpenEO-Identifier + Location header if successful
650 GET /services/{id} Is supported (with authentication)
651 GET /services/{id} Returns at least id, url, type, enabled, process, configuration and attributes
652 GET /services/{id} title and description are available if provided by the user
680 DELETE /services/{id} Is supported (with authentication)
681 DELETE /services/{id} Deletes the service and returns a HTTP 204 on success, otherwise a 4XX.

# API fundamentals

# Functionality Description
9 All > Process Graphs Namespace support
11 All > Process Graphs Use user-defined processes (in process_id)
12 All > Process Graphs Parameter support (use of from_parameter)

# Well-known Discovery

# Functionality Description
20 GET /.well-known/openeo Not part of the main API tree / not versioned

# Capabilities

# Functionality Description
35 GET / > billing Billing information are provided

# File Formats

# Functionality Description
44 GET /file_formats File format names aligned with GDAL
47 GET /file_formats Each format has a description describing their structure and relation to data cubes.
49 GET /file_formats title and description are provided for all file formats

# Authentication

# Functionality Description
112 GET /credentials/oidc OIDC is supported (without authentication for discovery requests)

# User Account

# Functionality Description
120 GET /me Is supported (with authentication)
121 GET /me > user_id Returns a unique user ID

# Pre-defined Processes

# Functionality Description
206 GET /processes > processes All processes are customized to reflect the actual implementation status (removal of unsupported parameters, updates to parameter schemas, etc.)
207 GET /processes > processes Summaries and categories are provided for all processes

# Collections

# Functionality Description
304 GET /collections Implements STAC API - Collections (https://api.stacspec.org/v1.0.0/collections)
308 GET /collections > collections License links are provided for non-SPDX license identifiers
309 GET /collections > collections All collections provide a title and keywords
310 GET /collections > collections Extents report the actual availability of data and don't overpromise
325 GET /collections/{id} > stac_extensions Lists all extensions that are used in the document

# User-defined processes

# Functionality Description
400 GET /process_graphs Is supported (with authentication)
401 GET /process_graphs Valid response with at least processes and links as arrays
403 GET /process_graphs > limit parameter All processes are returned if no limit parameter is provided
404 GET /process_graphs > processes All stored processes are valid according to the specification (id is required)
405 GET /process_graphs > processes Missing properties in the process objects are not set to null if missing (allowed only for: summary, description, parameters, returns)
410 PUT /process_graphs/{id} > create Supports creating new processes (with authentication)
411 PUT /process_graphs/{id} > update Supports updating existing processes (required only if creating new processes is supported)
412 PUT /process_graphs/{id} Only accepts valid process submissions (id and process_graph required, given process must be valid)
413 PUT /process_graphs/{id} > id If the id given in the request body is not equal to the given process_graph_id in the path, updates the id given in the request body.
414 PUT /process_graphs/{id} Fully replaces the process if a user-defined process with the given ID exists.
420 GET /process_graphs/{id} Is supported (with authentication)
421 GET /process_graphs/{id} Valid response with at least id and process_graph
422 GET /process_graphs/{id} Missing properties in the process objects are not set to null if missing (allowed only for: summary, description, parameters, returns)
430 DELETE /process_graphs/{id} Is supported (with authentication)
431 DELETE /process_graphs/{id} Deletes the process and returns a HTTP 204 on success, otherwise a 4XX.

# Data Processing

# Functionality Description
702 At least two of batch jobs, secondary web services or synchronous processing are implemented

# Batch Jobs

# Functionality Description
710 GET /jobs Is supported (with authentication)
711 GET /jobs Valid response with at least jobs and links as arrays
713 GET /jobs > limit parameter All jobs are returned if no limit parameter is provided
714 GET /jobs > jobs The served job metadata is valid according to the specification (id, status and created are required)
715 GET /jobs > jobs title is provided for all jobs (if provided by the user)
730 POST /jobs Supports creating batch jobs (with authentication)
731 POST /jobs > process Only accepts valid process submissions
734 POST /jobs Supports storing title and description
736 POST /jobs Returns HTTP status 201 and OpenEO-Identifier + Location header if successful
737 POST /jobs > status Job status is "created" after successful creation of the job, the data processing does not start yet
750 GET /jobs/{id} Is supported (with authentication)
751 GET /jobs/{id} Returns at least id, process, status and created
752 GET /jobs/{id} title and description are available if provided by the user
754 GET /jobs/{id} > status Correctly reports status (and progress, if supported)
780 DELETE /jobs/{id} Is supported (with authentication)
781 DELETE /jobs/{id} Deletes the job and returns a HTTP 204 on success, otherwise a 4XX.

# Batch Jobs > Logs

# Functionality Description
800 GET /jobs/{id}/logs Is supported (with authentication)
801 GET /jobs/{id}/logs > offset parameter Supports query parameter offset, only returns log entries that were logged after the given offset
804 GET /jobs/{id}/logs Valid response with at least logs and links as arrays
805 GET /jobs/{id}/logs > level level property is available if log_level has been set for the job or the level parameter has been provided
806 GET /jobs/{id}/logs > logs The served log entries are valid according to the specification (id, level and message are required)
807 GET /jobs/{id}/logs > logs time is supported, core and data is supported if applicable
808 GET /jobs/{id}/logs > logs The message is short and concise, doesn't contain full stack traces.

# Batch Jobs > Results

# Functionality Description
850 POST /jobs/{id}/results Supports queueing/starting jobs (with authentication)
851 POST /jobs/{id}/results Queues or starts the processing, which is reflected in the job status. Does nothing if already queued or running. Responds with HTTP status 202.
852 POST /jobs/{id}/results Rejects queueing a job if a payment is required.
860 GET /jobs/{id}/results Is supported (with authentication)
861 GET /jobs/{id}/results Returns HTTP status code 200 if the result is available, HTTP status code 424 with error message if the job status is "error", 4XX/5XX otherwise.
863 GET /jobs/{id}/results > partial parameter If processing has not finished and the partial parameter is not set to true, requests are rejected with openEO error JobNotFinished.
865 GET /jobs/{id}/results > STAC Response is a valid STAC Item or Collection
866 GET /jobs/{id}/results > STAC Supports a valid STAC version (0.9.0 or later, preferrably 1.0.0).
869 GET /jobs/{id}/results > STAC Assets all have an href and type, ideally also a title
870 GET /jobs/{id}/results > STAC Additional metadata is provided for the results (e.g. extents, projection, bands, dimensions). Please provide details in the comments.
871 GET /jobs/{id}/results > public access link Support canonical links (a public access signed URL, exposed as link with relation type canonical)
872 GET /jobs/{id}/results > public access link Exposes the expires property in the response body
890 DELETE /jobs/{id}/results Is supported (with authentication)
891 DELETE /jobs/{id}/results Cancels data processing (if queued or running), optionally deletes the batch job results and returns a HTTP 202 on success.

# Synchronous Processing

# Functionality Description
900 POST /result Is supported (with authentication)
901 POST /result > process Only accepts valid process submissions
905 POST /result Returns HTTP status 200 on success with the data in the response body, HTTP status codes 4XX or 5XX on failure with valid response body
906 POST /result > Content-Type header Returns suitable media type for the requested file format (not always application/octet-stream) in the Content-Type header
910 POST /result Rejects processing if a payment is required.

# L3: Advanced

# API fundamentals

# Functionality Description
8 All > Error Handling Additionally returns id and/or url properties
10 All > Process Graphs Multiple result nodes (e.g. save result as GeoTiff and netCDF)

# Well-known Discovery

# Functionality Description
22 GET /.well-known/openeo Lists production and development instance (if applicable)

# Conformance Classes

# Functionality Description
60 GET /conformance Is supported (without authentication)
61 GET /conformance Valid response with at least conformsTo

# Authentication

# Functionality Description
111 GET /credentials/basic HTTP Basic is not supported in production

# Pre-defined Processes

# Functionality Description
203 GET /processes > limit parameter Support for pagination, incl. pagination links

# Collections

# Functionality Description
305 GET /collections > limit parameter Support for pagination, incl. pagination links
330 GET /collections/{id}/queryables Is supported and valid JSON Schema

# User-defined processes

# Functionality Description
402 GET /process_graphs > limit parameter Support for pagination, incl. Pagination links

# Validation

# Functionality Description
490 POST /validation Is supported (with authentication)
491 POST /validation For valid input: HTTP 200 returning an empty errors array
492 POST /validation For invalid input: HTTP 200 with a non-empty errors array. Each objects contains at least code and message.
493 POST /validation HTTP status codes 4XX and 5XX are not used to indicate errors in the process. They only indicate invalid HTTP requests or server errors
494 POST /validation > id Checks validity of process id
495 POST /validation > parameters Checks validity of parameters (e.g. JSON Schema)
496 POST /validation > returns Checks validity of return value (e.g. JSON Schema)
497 POST /validation > process_graph Checks validity of provided process graph (e.g. parameters used, processes available, parameters provided valid, …)

# Batch Jobs

# Functionality Description
712 GET /jobs > limit parameter Support for pagination, incl. pagination links
732 POST /jobs > billing Has billing support (plan, budget)
733 POST /jobs > log_level Supports setting a min. log level
735 POST /jobs > additionalProperties Accepts/supports additional properties (if applicable) - please provide a list of them in the comments
753 GET /jobs/{id} Has billing support (plan, costs, budget, usage)
755 GET /jobs/{id} > additionalProperties Correctly reflects additional properties set during job creation (or after job update)
760 PATCH /jobs/{id} Supports updating batch jobs (with authentication)
764 PATCH /jobs/{id} Supports updating title and description

# Batch Jobs > Logs

# Functionality Description
802 GET /jobs/{id}/logs > level parameter Supports query parameter level
803 GET /jobs/{id}/logs > limit parameter Support for pagination, incl. pagination links

# Batch Jobs > Estimates

# Functionality Description
820 GET /jobs/{id}/estimate Is supported (with authentication), provides at least one of costs, duration or size
821 GET /jobs/{id}/estimate > costs Supports cost estimates
824 GET /jobs/{id}/estimate > downloads_included Specifies how many full downloads of the processed data are included in the estimate.
825 GET /jobs/{id}/estimate > expires Specifies the time until the estimate is valid.
826 GET /jobs/{id}/estimate Returns with HTTP 200 on success and returns with HTTP status 500 and error code EstimateComplexity if an estimate can't be computed.

# Batch Jobs > Results

# Functionality Description
864 GET /jobs/{id}/results > OpenEO-Costs header Supports the OpenEO-Costs header
867 GET /jobs/{id}/results > STAC Supports a full STAC hierachy (i.e. childs/items in a Collection)

# Synchronous Processing

# Functionality Description
902 POST /result > billing Has billing support (plan, budget)
903 POST /result > log_level Supports setting a min. log level
904 POST /result > additionalProperties Accepts/supports additional properties (if applicable) - please provide a list of them in the comments
907 POST /result > OpenEO-Costs header Returns OpenEO-Costs header
908 POST /result > Link header Returns a link to logs in the Link header (relation type "monitor")
909 POST /result > multiple files Supports TAR file format (or other archive format) if multiple files get generated

# L3-UDF: UDF

# UDF Runtimes

# Functionality Description
71 GET /udf_runtimes Is supported
72 GET /udf_runtimes Works without authentication
73 GET /udf_runtimes Works with authentication
74 GET /udf_runtimes Valid response with at least type, default and versions per UDF runtime
75 GET /udf_runtimes title and description are provided for all fUDF runtimes

# L3-FS: File Storage

# File Storage

# Functionality Description
500 GET /files Is supported (with authentication)
501 GET /files Valid response with at least files and links as arrays
502 GET /files > limit parameter Support for pagination, incl. pagination links
503 GET /files > limit parameter All processes are returned if no limit parameter is provided
504 GET /files > files The served file metadata is valid according to the specification (path is required)
505 GET /files > files File sizes and modification dates are provided
506 GET /files > files Paths are valid according to the specification (no leading slash, unix-style separator, no URL encoding)
510 PUT /files/{path} Supports uploading files (with authentication)
511 PUT /files/{path} Paths are correctly parsed (works around the OpenAPI limitation)
512 PUT /files/{path} Support for folders
513 PUT /files/{path} Overrides existing files if applicable
520 GET /files/{path} Is supported (with authentication)
521 GET /files/{path} Provides the file content, correctly encoded (upload + download don't change the checksum of the files) and with a suitable media type
530 DELETE /files/{path} Is supported (with authentication)
531 DELETE /files/{path} Deletes the file and returns a HTTP 204 on success, otherwise a 4XX.

# L3-SWS: Secondary Web Services

# Secondary Web Service Discovery

# Functionality Description
600 GET /service_types Is supported
601 GET /service_types Works without authentication
602 GET /service_types Works with authentication
603 GET /service_types Valid response with at least configuration and process_parameters per service
604 GET /service_types title and description are provided for all services

# Secondary Web Services

# Functionality Description
610 GET /services Is supported (with authentication)
611 GET /services Valid response with at least services and links as arrays
612 GET /services > limit parameter Support for pagination, incl. pagination links
613 GET /services > limit parameter All services are returned if no limit parameter is provided
614 GET /services > services The served service metadata is valid according to the specification (id, url, type and enabled are required)
615 GET /services > services title is provided for all services (if provided by the user)
630 POST /services Supports creating services (with authentication)
631 POST /services > process Only accepts valid process submissions
632 POST /services > configuration Supports configuration parameters, rejects invalid configuration parameters
633 POST /services > type Rejects invalid types, accepts types case insensitive
634 POST /services > billing Has billing support (plan, budget)
635 POST /services > log_level Supports setting a min. log level
636 POST /services Supports storing title, description and enabled
638 POST /services Returns HTTP status 201 and OpenEO-Identifier + Location header if successful
650 GET /services/{id} Is supported (with authentication)
651 GET /services/{id} Returns at least id, url, type, enabled, process, configuration and attributes
652 GET /services/{id} title and description are available if provided by the user
653 GET /services/{id} Has billing support (plan, costs, budget, usage)
660 PATCH /services/{id} Supports updating services (with authentication)
661 PATCH /services/{id} > process Allows updating processes, but only accepts valid process submissions
662 PATCH /services/{id} > configuration Supports updating configuration parameters
663 PATCH /services/{id} > configuration Rejects invalid configuration parameters
664 PATCH /services/{id} > type Rejects invalid types, accepts types case insensitive
665 PATCH /services/{id} > billing Has billing support (plan, budget)
666 PATCH /services/{id} > log_level Supports updating the min. log level
667 PATCH /services/{id} > enabled Supports enabling/disabling the service
668 PATCH /services/{id} Supports updating title and description
680 DELETE /services/{id} Is supported (with authentication)
681 DELETE /services/{id} Deletes the service and returns a HTTP 204 on success, otherwise a 4XX.

# L4: Above and Beyond

# Secondary Web Services

# Functionality Description
616 GET /services Supports on-demand web services (processing while using the service)
617 GET /services Supports viewing of batch job results (processing beforehand as batch job, i.e. load_result -> save process)
637 POST /services > additionalProperties Accepts/supports additional properties (if applicable) - please provide a list of them in the comments
654 GET /services/{id} > additionalProperties Correctly reflects additional properties set during service creation (or after service update)
669 PATCH /services/{id} > additionalProperties Accepts/supports additional properties (if applicable)

# Secondary Web Services > Logs

# Functionality Description
690 GET /services/{id}/logs Is supported (with authentication)
691 GET /services/{id}/logs > offset parameter Supports query parameter offset, only returns log entries that were logged after the given offset
692 GET /services/{id}/logs > level parameter Supports query parameter level
693 GET /services/{id}/logs > limit parameter Support for pagination, incl. pagination links
694 GET /services/{id}/logs Valid response with at least logs and links as arrays
695 GET /services/{id}/logs > level level property is available if log_level has been set for the service or the level parameter has been provided
696 GET /services/{id}/logs > logs The served log entries are valid according to the specification (id, level and message are required)
697 GET /services/{id}/logs > logs time is supported, core and data is supported if applicable
698 GET /services/{id}/logs > logs The message is short and concise, doesn't contain full stack traces.

# Batch Jobs

# Functionality Description
761 PATCH /jobs/{id} > process Allows updating processes, but only accepts valid process submissions
762 PATCH /jobs/{id} > billing Has billing support (plan, budget)
763 PATCH /jobs/{id} > log_level Supports updating the min. log level
765 PATCH /jobs/{id} > additionalProperties Accepts/supports additional properties (if applicable)

# Batch Jobs > Estimates

# Functionality Description
822 GET /jobs/{id}/estimate > duration Supports runtime duration estimates
823 GET /jobs/{id}/estimate > size Supports result file size estimates

# Batch Jobs > Results

# Functionality Description
862 GET /jobs/{id}/results > partial parameter Supports partial query parameter
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openEO

  • openEO Profiles

# openEO Profiles

We've defined requirements grouped into a set of profiles for the openEO API and the openEO Processes. This helps to classify the implementation status of an openEO instance and gives recommendations to implementors which functionality to prioritize.

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openEO
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openEO
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openEO

# Introduction

First of all, a good idea is to get familiar with the terminology in openEO by reading the glossary. There's also an in-depth introduction to datacubes and processing them with openEO.

Currently, there are three official client libraries, a web-based interface for openEO and a QGIS plugin.

If you are unfamiliar with programming, you could start using the web-based editor for openEO (opens new window). It supports visual modelling of your algorithms and a simplified JavaScript based access to the openEO workflows and providers. openEO can also be used in QGIS through a QGIS plugin.

If you are familiar with programming, you could choose a client library for three programming languages:

Follow the links above to find usage instructions for each of the client libraries.

For details about available processes, see the list of openEO processes. The openEO Cookbook describes common use-cases with code examples in all three languages.

The more advanced topic to run your own code on back-ends, is explained in the introduction to openEO UDFs (user-defined functions).

Note

This is the documentation for the openEO API version 1.0. If you are looking for other versions of openEO, please use the version switch at the top right of this page.

# Contribute

Didn't find your programming language? You can also access the openEO API implementations directly or start implementing your own client library.

If you are missing any functionality in the API feel free to open an issue (opens new window) or actively start proposing API changes as Pull Requests.

Feel free to contact us for further assistance.

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openEO
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openEO

Note: This is the list of all processes specified by the openEO project. Back-ends implement a varying set of processes. Thus, the processes you can use at a specific back-end may derive from the specification, may include non-standardized processes and may not implement all processes listed here. Please check each back-end individually for the processes they support. The client libraries usually have a function called listProcesses or list_processes for that.

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openEO
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- + diff --git a/documentation/code-of-conduct.html b/documentation/code-of-conduct.html index 0d718c063..5ae4b64c3 100644 --- a/documentation/code-of-conduct.html +++ b/documentation/code-of-conduct.html @@ -8,8 +8,8 @@ - - + +
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- + diff --git a/documentation/software-guidelines.html b/documentation/software-guidelines.html index 22ec6d27f..99c6fb9a5 100644 --- a/documentation/software-guidelines.html +++ b/documentation/software-guidelines.html @@ -8,8 +8,8 @@ - - + +
openEO

# Software Development Guidelines

This document describes guidelines for software developers, written for the openEO (opens new window) project. Since the openEO infrastructure encompasses several programming languages and software environments, this document does not prescribe particular tools or platforms but rather focuses on general principles and methods behind them.

  1. License: all software developed in the openEO project and published on the openEO GitHub (opens new window) organisation shall be licensed under the Apache 2.0 license (opens new window). If software repositories deviate from this, or contain code or other artifacts that deviates from this, this shall be described in the README.md file.
  2. Location: Official openEO software is developed under the openEO GitHub organisation (opens new window).
  3. Proof-of-concept versus sustainable: each repository shall indicate its status: either proof-of-concept, or sustainable. Proof-of-concept code is meant to work but comes without quality assurance. Software repositories with proof-of-concept developments shall clearly say so in the first paragraph of the README.md file.
  4. Sustainable code should undergo standard quality checks, and point out its documentation.
  5. Sustainable code shall undergo code review; no direct commits to master; any commit shall come in the form of a PR, commit after review.
  6. Sustainable code shall be written in a Test-driven manner, and repositories shall at the top of their README.md give indication of the degree to which code is covered by tests.
  7. Continuous integration shall be used to indicate code currently passes its test on CI platforms.
  8. A Code of conduct describes the rules and constraints to developers and contributors.
  9. Version numbers of sustainable software releases shall follow Semantic Versioning 2.0.0 (opens new window).

# Software quality guidelines

  • software shall be written in such a way that another person can understand its intention
  • comment lines shall be used sparsely, but effectively
  • reuse of unstable or esoteric libraries shall be avoided

# Software documentation guidelines

Software documentation shall include:

  • installation instructions
  • usage instructions
  • explain in detail the intention of the software
  • pointers to reference documents explaining overarching concepts

Each repository's README.md shall point to the documentation.

Reference documentation shall be written using well-defined reference documentation language, such as RFC2119 (opens new window) or arc42 (opens new window), and refer to the definitions used.

# Software review

  • sustainable software development shall take place by always having two persons involved in a change to the master branch: individuals push to branches, pull request indicate readiness to be taken up in the master branch, a second developer reviews the pull request before merging it into the master branch.
  • software review discussions shall be intelligible for external developers, and serve as implicit documentation of development decisions taken

# Test-driven development

Software shall be developed in a test-driven fashion, meaning that while the code is written, tests are developed that verify, to a reasonable extent, the correctness of the code. Tools such as codecov.io (opens new window) to automatically indicate the amount of code covered by tests, and code that is not covered by tests shall be used in combination with a continuous integration framework.

# Continuous integration

Repositories containing running software shall use an appropriate continuous integration platform, such as GitHub Actions or similar, to show whether the current build passes all checks. This helps understand contributors that the software passes tests on an independent platform, and may give insights in the way the software is compiled, deployed and tested.

# Additional guidelines

There is specific guideline for client library development.

- + diff --git a/events/igarrs2021.html b/events/igarrs2021.html index 5ba4ac506..c14ba61ff 100644 --- a/events/igarrs2021.html +++ b/events/igarrs2021.html @@ -8,8 +8,8 @@ - - + +
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- + diff --git a/news/2018-01-31-WWU_meeting.html b/news/2018-01-31-WWU_meeting.html index b3d76b08d..3e8e6154f 100644 --- a/news/2018-01-31-WWU_meeting.html +++ b/news/2018-01-31-WWU_meeting.html @@ -8,8 +8,8 @@ - - + +
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- + diff --git a/news/2018-03-15-poc.html b/news/2018-03-15-poc.html index 364880a7b..e16029d5f 100644 --- a/news/2018-03-15-poc.html +++ b/news/2018-03-15-poc.html @@ -8,8 +8,8 @@ - - + +
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- + diff --git a/news/2018-05-23-user-requirements-survey-launched.html b/news/2018-05-23-user-requirements-survey-launched.html index 0a5fa8802..142716eb1 100644 --- a/news/2018-05-23-user-requirements-survey-launched.html +++ b/news/2018-05-23-user-requirements-survey-launched.html @@ -8,8 +8,8 @@ - - + +
openEO

  • User Requirements Survey for openEO launched

User Requirements Survey for openEO launched

Written on May 23, 2018 by Sarah Carter.

This survey (opens new window) aims to gather a detailed view of external user needs in relation EO data access and analysis. This will enable the openEO project team to better identify current needs of different users and the potential for openEO to be useful to them and to overcome any barriers they have in their work streams. Ultimately, this will steer the openEO API in a way which meets user needs including being compatible with additional EO service providers and their data infrastructures. Additional processes and use cases will also be added where necessary with the aim of benefiting more potential users.

The survey is open to all, so please fill it in by 18 June 2018, and share within your relevant networks. It should take no longer than 10 minutes to complete.

https://ec.europa.eu/eusurvey/runner/openEO_UserSurvey (opens new window)

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openEO

  • H2020 EO Big Data Hackathon Nov 7-8

H2020 EO Big Data Hackathon Nov 7-8

Written on October 7, 2019 by Edzer Pebesma.

openEO will participate, along with the four other H2020 projects funded under the same call, in the H2020 EO Big Data Hackathon (opens new window), which is open for participation.

The hackaton will take place on Nov 7 and 8, 2019, in Frascati, Italy.

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openEO

Lessons learned while developing the openEO API

Written on July 31, 2020 by Matthias Mohr.

With openEO, we are digging into new grounds regarding the interoperability of big Earth observation clouds. While we could address a lot of problems that came up, some issues remained that we couldn't solve. This article explains some of the lessons learned and thus also gives an honest overview about current limitations of the openEO API.

# 1. Collection Names

The naming of data sets (collections) is different across providers. We thought about recommending to follow lists like the CEOS Mission Index (opens new window), but then the question is what data does it really refer to? It lists Sentinel-2 A and Sentinel-2 B, but would that be Level 1C or 2A or something completely different? Therefore, openEO decided to not enforce any naming scheme as data sets throughout the affiliated providers were mostly differently pre-processed anyway. To improve the situation, openEO allows to define process parameters. This allows to define algorithms independently of data set names, which can later be assigned when executing the process. Also, openEO recommends to split processing instructions into two parts: data loading/pre-processing and the actual algorithm.

Some more background information can be found in the corresponding GitHub issue (opens new window). In general, many limitations (including the following) concern the data holdings of the providers and may hopefully be solved by initiatives that work on Analysis Ready Data (ARD).

# 2. Other Names

Similarly, the naming of bands (and potentially other dimension labels, too) are inconsistent across providers, we faced names such as B2, B02, 2 or blue for Sentinel-2. openEO doesn't enforce any naming scheme, but has found ways to improve the situation for users. First, process parameters can be used (see above). Second, bands can also be specified using the common names as specified by STAC (opens new window) or wavelength ranges. openEO recommends to use common names whenever available.

For example, to avoid specific naming you could filter for Sentinel-2 (A and B) band 2 as follows:

  • by common name: filter_bands(data = cube, bands = ['blue']) (blue maps to the wavelength range 0.45 - 0.50 according to STAC)
  • by wavelength, specified in μm: filter_bands(data = cube, wavelength = [[0.49, 0.50]]) (wavelength is 0.4966 for Sentinel-2A and 0.4921 for Sentinel-2B)

In general, metadata is aligned for usage in openEO processes by using the STAC specification (opens new window), which improves interoperability.

# 3. Chunked Collections

Some providers (for example Google Earth Engine (opens new window)) expose data sets such as Sentinel-2 L2A as one large collection. Other providers expose the data sets split into groups, e.g. chunked by CRS and resolution. EURAC has collections such as S2_32632_60m_L2A or S2_32635_10m_L2A for example. There are valid reasons (opens new window) for any of the implementations, but to explain them is too much for this article. Unfortunately, those differences decrease the interoperability and in the end the re-usability of the processes. openEO aims to make algorithms re-usable and thus recommends to split processing instructions into two parts: data loading/pre-processing and the actual algorithm. This allows greater re-usability of the algorithms.

# 4. What to specify?

The API has a focus on Service and Data Discovery, Data Processing and Result Retrieval/Publishing. Some more customer-oriented tasks such as user registration and payments are not handled through the openEO API. These aspects are too different across providers and can be handled more efficiently through external interfaces. Most providers already offer such services independently of the openEO API implementation anyway to offer their pre-openEO services.

Still, the openEO API uses OpenID Connect as main Authentication and Authorization mechanism (see also point 5). OpenID Connect (opens new window) has a User Registration extension draft (opens new window) that can be used by back-ends and may be adopted in the future. We closely follow upcoming specifications and standards and are happy to adopt anything useful.

# File Formats

Similarly, file formats (opens new window) and their options (opens new window) are often very different between processing software. That is why GDAL exists. To improve interoperability, the openEO API just recommends to align them with GDAL, which is used in most relevant software anyway. Unfortunately, this comes with some small inconveniences. For example, most people would probably expect to just specify "GeoTiff" as file format name, but GDAL has named it "GTiff". Another idea was to use media types (opens new window) such as application/json, but then we realized that these are often to broad or not even defined. For example, openEO had to push the OGC (opens new window) to specify an official media type for GeoTiff. But the same issue exists for other file formats, too.

# 5. Authentication

One of the most complex issues we faced during the API development was actually not EO or data processing related. It was the Authentication and Authorization mechanism. We quickly decided to use one of the well-established standards available for security reasons. Unfortunately, most of them don't seem to cater very well for our use case where you have a number of different clients and back-ends communicating with each other. Usually in the Web you have multiple clients communicating with a single back-end (1:n), but in openEO we have a n:m relation. There are CLI tools, web clients and more that need to authenticate against a growing set of independent providers. Therefore, you can't easily ship clients with security measures like Client IDs (and Client Secrets) as required by OpenID Connect (opens new window) (based on OAuth 2 (opens new window)). Users need to get those information by themselves and provide it to the clients, which is inconvenient and probably confusing to many non-developers. This issue is probably the thing I dislike most in the current API specification and thus would love to hear from you whether there are good solutions out there that we missed.

# 6. Debugging Experience

The logging and debugging experience varies a lot between cloud processing and the "traditional workflow" (you download data and compute locally with your preferred tools). While it's "free" on a local machine to just do "trial and error" to check whether something is running, cloud processing usually comes with a cost and you likely don't want to work with "trial and error". Also you don't directly have access to the hardware and software and thus it is harder to investigate problems. openEO took several measures to mitigate these issues, but it is still a different experience for users. I guess that is a long learning process until it is adopted by users and may need additional effort to implement tools to improve the situation. While many users are getting used to it in situations where a streamlined experience is somewhat possible as only few clients communicate with a single provider (e.g. Google Earth Engine), the issue increases in openEO due to the different infrastructure and software used on back-end side.

# 7. Defining interoperable Processes

Defining a common set of pre-defined processes was a very long and challenging task.

  1. First, we had to come up with a useful schema that allowed us to describe processes in JSON. We got inspired by different other standards such as WPS (opens new window) and OpenAPI (opens new window).
  2. Second, we had to find what processes are required and which granularity they should have. That quickly led to over a hundred processes (opens new window), mainly for data cube and math operations. And that was only for mostly raster operations. We still have a big hole in the processes regarding vector related operations, but we aim to close that in the next year(s).
  3. Third, we had to figure out what common processing softwares offered and how to come up with process definitions than can be implemented with those softwares.
  4. Last, we had to specify it in a way that is unambiguous and easy to understand by users.

All of these tasks took much more time than initially expected. For example, one of the partners reported that the granularity of the processes is not really suited for the underlying processing software. While we couldn't really change the granularity, it was at least not an issue to make openEO work for them. Fortunately, the process part of the openEO API is very flexible and allows providers to change the processes according to their needs or define their own processes. Due to the fact that the actual parameters and return values are described in JSON Schema, clients and back-ends can easily re-use existing JSON Schema implementations and adopt to changes in the process specifications. Thus, if a back-end doesn't support parts of a process, it can just be changed/removed and a client can understand that and cater for it.

# Conclusion

This was a deep dive into some of my challenges during the last years. I hope it is useful for others and I'm hoping to get into discussions with developers facing similar issues. Maybe with joint forces we can solve some of these for a better cloud processing experience in the future. If you have anything to say, please contact me via e-mail, GitHub issues (API (opens new window), Processes (opens new window)) or Twitter (opens new window). You can also contact openEO.

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openEO

Stable release of the openEO API and Processes (v1.0.0)

Written on July 31, 2020 by Matthias Mohr.

After two release candidates in early 2020, the openEO Consortium released the first stable version of its openEO API (opens new window) and their set of common processes (opens new window). This blog post gives an overview of the most notable changes since version 0.4 and provides an outlook on the next months' project activity.

For those who are new to openEO, we have developed an open API to connect R, Python, JavaScript and other clients to big Earth observation cloud back-ends in a simple and unified way. The idea is that this will make cloud-based processing of large satellite image collections, or other data cubes such as weather model data easier for data scientists. The entire development process has been open, and all software developed in this project is open source and available on GitHub (opens new window). For more information about openEO, please read page about the project first.

# Processes

The most important change was introduced just recently in openEO API version 1.0.0 RC2. Until then, openEO process graphs allowed users to express processing algorithms and execute them on a back-end using pre-defined processes exposed by a back-end provider. While this still exists, a user can now also promote a process graph to a full openEO process description, following the same schema as the pre-defined processes: it must include the processing instructions and metadata like an identifier, parameters, return values, examples etc. This allows user-defined processes to be stored and used like pre-defined processes, enabling users to extend the processing capabilities of a back-end. Users can now encapsulate algorithms in separate user-defined processes and re-use these in other user-defined processes. This also allows the exchange of processes (algorithms) between users and back-ends, and creates the possibility for a repository of user-contributed processes that other users can benefit from. A place for finding and sharing such processes is (planned to be) the openEO Hub (opens new window).

Through user-defined processes (and user defined functions) users may also be able to substitute processes that back-ends have not implemented. In fact, several pre-defined processes are defined with alternative processing instructions that use other openEO pre-defined processes to solve the task. For example, the pre-defined process normalized_ difference can be emulated with a combination of the processes add, subtract and divide. So if a back-end is missing the normalized_difference process, a user can just download it (opens new window) and use an openEO client to push it to the back-end where it then acts as drop-in replacement for the missing pre-defined process. In the future we plan to allow just using the URL of the process, so that no download/upload would be required.

As mentioned above, openEO offers a set of common processes (opens new window) to improve interoperability and portability between back-ends. This is not a complete list and is expected to be extended by the openEO Consortium. More than that, we would like to see that processes arise from the community and that we can take over and standardize whatever comes up and is useful for the different domains working with openEO. We can then simply use the user-defined processes as they share the same schema as the pre-defined processes.

The pre-defined openEO processes are released separately from the API to ensure a faster release cycle than we plan for the API. We want to be able to quickly adapt to community needs with additional processes. Future version of the processes are valid with any future API version through the specification of the process metadata standard in openEO.

The pre-defined processes itself also got an update just after the API release, but the changes (opens new window) are relatively small compared to the API. The focus was to clarify unspecified and ambiguous parts of the specification. Some processes such as apply_neighborhood and constant were added for the use cases. In collaboration with Julia Wagemann (opens new window) from the ECMWF (opens new window) we started defining processes such as aggregate_temporal_frequency, anomaly and climatological_normal for climatology and meteorology use-cases. Unfortunately, this effort could not be finished yet due to the COVID-19 situation. We want to continue to broaden the processes to be useful for more domains apart from core Earth Observation.

# STAC and OGC APIs

The openEO API now supports STAC (API) versions 0.9 and 1.x, which implements OGC API - Features. Thus, a potential integration of the openEO API with upcoming OGC API standards should be easy to establish.

# User-defined Functions (UDFs)

Note: Don't get confused, user-defined processes and user-defined functions describe different things.

Although already foreseen in API version 0.4.0, the openEO UDF API has evolved and is better integrated in the openEO API. It now allows to run Docker containers or custom scripts in potentially any programming language. The UDF API itself is not part of the openEO API, but is a separate specification to describe the data exchange between a back-end implementing the openEO API and a UDF API instance. The UDF API is in release candidate phase and we'll likely post a separate blog post focussing solely on them. Currently, implementations in R and Python are available. It is foreseen that users could also host their own UDF API instances and call them from remote back-ends.

# Other improvements

Other notable changes and additions:

  • Support for importing user-provided data sets has been added.
  • Providers can now expose their terms of service and privacy policies.
  • The WebSocket-based Subscription API for notifications and monitoring introduced in version 0.4 has been replaced by a logging mechanism in the HTTP API. This makes implementing the API easier for clients and back-ends, but doesn't work in real-time any longer.

The full set of changes can be found in the API's change log (opens new window).

# Limitations

With openEO, we are digging into new grounds regarding the interoperability of big Earth observation clouds. While we could solve a lot of issues that came up, there were some issues that we couldn't solve as part of the API and processes. We want to be honest and give some insights into the lessons learned, so I have posted these as a separate blog post.

# Next steps

The API's development went through several iterations and is working well for our broad range of use cases, which we'll report soon. Implementations by several organizations for several API versions provide evidence that the API and the processes are useful for a wide range of use cases. Client and back-end developers will now finish their implementations and we hope to have the first operational services this year. We will follow up with new blog posts once other releases are available. If you are interested in trying out openEO, please contact us to get more information.

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openEO

  • openEO Virtual User Workshop

openEO Virtual User Workshop

Written on September 2, 2020 by Matthias Schramm.

# UPDATE:

Presentations and Notebooks of the user workshop can be downloaded here (opens new window).

openEO hosts a (virtual) user workshop on 19 October 2020 (10:30 - 16:30 CEST in two parts) and encourages interested parties to register for this event at https://ec.europa.eu/eusurvey/runner/openEOUserWorkshop (opens new window).

Needed preparation: Manuals for installing the various client APIs, recommended for testing openEO in guided sessions, can be found in the User Documentation under Getting Started.

User questionnaire: Please help us also by spending some minutes for this user questionnaire (opens new window).

Access details: Please click the session topics below to connect to the corresponding sessions in Microsoft Teams.

Agenda:

Part 1
No. Start Duration Topic Remark
1.1 10:30h 30min Introduction into openEO + technical overview
1.2 11:00h 20min Overview backends
1.3 11:20h 20min Overview processes + documentation
1.4 11:40h 5min Installation of openEO
1.5 11:45h 15min Q/A: Backends, Installation, Q/A Chat Questionaire
Break for users to install openEO, partners stay available in chat for answering questions on that in bilateral talks
Part 2
No. Start Duration Topic Remark
2.1 14:00h 5min Welcome back / Ways for users to approach to openEO
Live Demontrations, Part 1
2.2a 14:05h 20min Python Client Parallel session
2.2b 14:05h 20min JavaScript Client + mobile application
14:25h 5min Short break / Switching sessions
Live Demontrations, Part 2
2.3a 14:30h 20min Web Editor + QGIS Parallel session
2.3b 14:30h 20min R Client
14:50h 5min Short break / Switching sessions
Guided Sessions and Q/A
2.4a 14:55h 60min Guided room for users to test the R Client Parallel session
2.4b 14:55h 60min Guided room for users to test the Python Client
2.4c 14:55h 60min Guided room for users to test other clients
2.5a 15:55h 15min Q/A and Discussions: R Client Parallel session
2.5b 15:55h 15min Q/A and Discussions: Python
2.5c 15:55h 15min Q/A and Discussions: Other clients
Wrap up
2.6 16:10h 20min Q/A; Discussion on user needs, future work

Background: openEO is a user-driven open source API, which grants a uniform communication between the Earth Observation (EO) data user community and diverse EO cloud service providers. Thus, it aims for a cross-platform interoperability to ease a comparison, the cooperation and the switch between them. The project consortium (H2020 Grant No 776242) released a stable version of the openEO API, covering standardised online processing of all aspects of an EO data life cycle on diverse cloud platforms.

In this User Workshop, the audience is provided with insight into the functionalities of the openEO API. In various live demonstration and training sessions, real demonstration cases will be explained from the user perspective. Possible applications of the openEO API will be presented for different access levels – from the use of programming languages to browser based model builders or mobile applications. Target audience for this event are programmers, decision makers, as well as third-party cloud EO service providers.

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  • MOOC Cubes and Clouds - open for registration

MOOC Cubes and Clouds - open for registration

Written on March 22, 2024 by Peter Zellner.

The latest EO college course “Cubes and Clouds” explores the newest concepts in Earth Observation through engaging lectures, videos, animated content, and hands-on exercises!

openEO plays a main role in the course due to its standardized API for homogenizing cloud processing. It allows for portablility of the created workflow between different cloud providers, reproducibility and sharing of the workflow which is enriched with valuable metadata. The idea behind and need for openEO are tought in a dedicated lecture. All hands-on exercises use openEO, guiding participants from basic processes to carrying out end-to-end EO workflows and sharing their results!

You can subscribe to the course for free and learn about cloud native EO at Cubes & Clouds – EO College (eo-college.org) (opens new window).

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# openEO Project Steering Committee

This document describes how the openEO Project Steering Committee determines membership, and makes decisions on openEO project issues. The openEO project is concerned with all repositories (software and specifications etc.) found under https://github.com/Open-EO (opens new window).

In brief the committee votes on proposals on https://github.com/Open-EO/PSC/issues (opens new window). Proposals are available for review for at least five business days, and a single veto is sufficient to delay progress though ultimately a majority of members can pass a proposal.

# Members

The list of members of the Project Steering Committee is:

The current list will be maintained by the openEO chair on this page and will be published to the openEO web pages, too.

# Detailed Process

  1. Proposals are written up and submitted on https://github.com/Open-EO/PSC/issues/new/choose (opens new window) for discussion and voting, by any interested party, not just committee members.
  2. Proposals need to be available for review for at least five business days before a final decision can be made. Public holidays count as business days.
  3. Respondents may vote +1 to indicate support for the proposal and a willingness to support implementation.
  4. Respondents may vote -1 to veto a proposal, but must provide clear reasoning and alternate approaches to resolving the problem within the five business days.
  5. A vote of -0 indicates mild disagreement, but has no effect. A 0 indicates no opinion. A +0 indicates mild support, but has no effect.
  6. Anyone may comment on proposals on the list, but only members of the Project Steering Committee’s votes will be counted.
  7. A proposal will be accepted if it receives +4 (including the proposer) and no vetoes (-1) or has not received enough votes in 20 business days.
  8. If a proposal is vetoed, and it cannot be revised to satisfy all parties, then it can be resubmitted for an override vote in which a majority of all eligible voters indicating +1 is sufficient to pass it. Note that this is a majority of all committee members, not just those who actively vote.
  9. Upon completion of discussion and voting the proposer should announce whether they are proceeding (proposal accepted) or are withdrawing their proposal (vetoed).
  10. The Chair gets a vote.
  11. The Chair is responsible for keeping track of who is a member of the Project Steering Committee.
  12. Addition and removal of members from the committee, as well as selection of a Chair should be handled as a proposal to the committee.
  13. The Chair adjudicates in cases of disputes about voting.

# When is Vote Required?

Generally speaking, technical decisions should be made by consensus within openEO components. However, if a decision cannot be decided by consensus of the committers involved in the component, any committer can request the decision be brought to a vote of the openEO PSC. Technical decision that would be suitable for such a process include:

  • Any change to PSC membership (new members, removing inactive members)
  • Anything that could cause backward compatibility issues in normative specifications (e.g., API or process specifications).
  • Adding or changing substantial amounts of the normative specifications.
  • Issues of procedure (e.g. changes to these guidelines).
  • When stable releases should take place.
  • Strategic decisions regarding the project and anything that might be controversial.

# Final remarks

  • The Chair is the ultimate adjudicator if things break down.
  • The absolute majority rule can be used to override an obstructionist veto, but it is intended that in normal circumstances vetoers need to be convinced to withdraw their veto. We are trying to reach consensus.
  • Software components that at least two other software repositories under https://github.com/Open-EO (opens new window) depend on, are encouraged to implement a review system for breaking changes (e.g. GitHub Pull Request Approvals) that require a certain number of approvals: 2 dependents require 1 approval, more than 2 dependents require 2 approvals. Exceptions for this must go through the PSC process.

# Committee Membership

# Adding Members

Anyone with a contribution to the openEO organization (opens new window) may nominate someone for committee membership at any time. Only existing PSC committee members may vote on new members. Nominees must receive a majority vote from existing members to be added to the PSC.

# Stepping Down

If for any reason a PSC member is not able to fully participate then they certainly are free to step down. If a member is not active (e.g., no voting or email participation) for a period of 12 months then the PSC reserves the right to seek nominations to fill that position. Should that person become active again then they would certainly be welcome, but would require a nomination.

# History

This document is based on the GDAL Project Management Committee Guidelines (opens new window) and was accepted by the openEO project board on October, 7 2020.

The following changes have been made thereafter: https://github.com/Open-EO/PSC/compare/v1...main (opens new window)

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# Software

All developed software is organized within the openEO GitHub organization (opens new window).

# Clients

Software that allows remote sensers and other users to access the openEO back-ends:

Client software Package Manager / Hosted Version GitHub
JavaScript/TypeScript library npm: @openeo/js-client (opens new window) openeo-js-client (opens new window)
Python library PyPI: openeo (opens new window) / Conda Forge: openeo (opens new window) openeo-python-client (opens new window)
QGIS plugin QGIS plugin repository: openeo-qgis-plugin-master (opens new window) openeo-qgis-plugin (opens new window)
R library CRAN: openeo (opens new window) openeo-r-client (opens new window)
Web Editor Hosted Version (opens new window) openeo-web-editor (opens new window)

See the getting started guide for users for more information. Users considering to implement a new client library should read the getting started guide for client developers.

# Back-ends

Data and infrastructure providers can host their own instance of the openEO API:

See the getting started guide for back-end providers for more information.

To start developing a new back-end driver, you may start with any of the common functionalities implemented in several programming languages:

Our approach to tackle language-agnostic user-defined functions can be found in the following repositories:

# Specification

The API specification is available in the openEO API repository (opens new window). The process definitions are available in the openEO processes repository (opens new window).

# Ecosystem

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