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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Automatically Selecting Reference Points" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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======== | ||
Examples | ||
======== | ||
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We provide a number of examples to help you get started with using the **FanInSAR** package. | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
:caption: Contents: | ||
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warp/index | ||
ARPs |
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.. _warp_example: | ||
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============ | ||
Warp Example | ||
============ | ||
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This section demonstrates how to warp the raster datasets, such as reprojecting and resampling the raster datasets. | ||
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.. toctree:: | ||
:maxdepth: 2 | ||
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reproject | ||
resample | ||
match_raster |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Match to a reference raster\n", | ||
"\n", | ||
"This tutorial demonstrates how to match the extent, resolution, and projection of a raster to a reference raster. This is a common task when working with multiple rasters that have different properties." | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "geo", | ||
"language": "python", | ||
"name": "python3" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.11.9" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Reproject dataset\n", | ||
"\n", | ||
"This notebook is a simple example of how to reproject a dataset by providing a new crs." | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"# Resampling dataset\n", | ||
"\n", | ||
"In this tutorial, you will discover how to resample your dataset, upscaling or downscaling the resolution, using the **FanInSAR**." | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 2 | ||
} |
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.. _custom_datasets: | ||
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=============== | ||
Custom Datasets | ||
=============== | ||
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In this tutorial, we will discuss how to customize your own datasets in ``FanInSAR``. | ||
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Choosing a base class | ||
--------------------- | ||
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To customize your own dataset, you need to choose a base class to inherit from. In ``FanInSAR``, the base class for datasets are as follows: | ||
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- :class:`~faninsar.datasets.RasterDataset`: The base class for raster datasets, just like the files with the extension of ``.tif`` / ``.tiff``. | ||
- :class:`~faninsar.datasets.InterferogramDataset`: The base class for interferogram datasets. | ||
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.. - :class:`~faninsar.datasets.HierarchicalDataset`: The base class for hierarchical datasets, just like the files with the extension of ``.h5`` (hdf5) or ``.nc`` (netcdf). |
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.. _customization: | ||
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============= | ||
Customization | ||
============= | ||
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Although the built-in time series models and datasets of ``FanInSAR`` | ||
are powerful, you may want to customize them to better fit your own needs. | ||
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In this section, we will discuss how to customize your own time series models and datasets. | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
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datasets | ||
ts_models |
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.. _custom_tsmodels: | ||
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========================= | ||
Custom Time Series Models | ||
========================= | ||
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In this tutorial, we will discuss how to customize your own time series models in ``FanInSAR``. |
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.. _indexing: | ||
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================== | ||
Indexing/Filtering | ||
================== | ||
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This section demonstrates how to index/select | ||
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.. toctree:: | ||
:maxdepth: 1 | ||
:caption: Contents: | ||
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filter |
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