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loicdtx committed Aug 16, 2024
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48 changes: 28 additions & 20 deletions CITATION.cff
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@@ -1,27 +1,35 @@
cff-version: 1.2.0
message: "If you use nrt in your research or project, please consider citing it using the following entry."
cff-version: "1.2.0"
authors:
- family-names: Dutrieux
given-names: Loïc
orcid: "https://orcid.org/0000-0002-5058-2526"
- family-names: Viehweger
given-names: Jonas
orcid: "https://orcid.org/0000-0002-1610-4600"
doi: 10.5281/zenodo.12799278
message: If you use nrt in your research or project, please cite our article in the
Journal of Open Source Software.
preferred-citation:
authors:
- family-names: Dutrieux
given-names: Loïc
orcid: "https://orcid.org/0000-0002-5058-2526"
- family-names: Viehweger
given-names: Jonas
title: "nrt: Operational monitoring of satellite image time-series in Python"
version: 0.2.1
doi: 10.21105/joss.00000
date-released: 2024-01-15
url: "https://github.com/ec-jrc/nrt"
repository-code: "https://github.com/ec-jrc/nrt"
license: EUPL-v1.2
preferred-citation:
orcid: "https://orcid.org/0000-0002-1610-4600"
date-published: 2024-08-15
doi: 10.21105/joss.06815
issn: 2475-9066
issue: 100
journal: Journal of Open Source Software
publisher:
name: Open Journals
start: 6815
title: "nrt: operational monitoring of satellite image time-series in
Python"
type: article
authors:
- family-names: Dutrieux
given-names: Loïc
- family-names: Viehweger
given-names: Jonas
title: "nrt: Operational monitoring of satellite image time-series in Python"
journal: "Journal of Open Source Software"
year: 2024
publisher: "The Open Journal"
note: "in review"
url: "https://joss.theoj.org/papers/10.21105/joss.06815"
volume: 9
title: "nrt: operational monitoring of satellite image time-series in
Python"

10 changes: 8 additions & 2 deletions README.rst
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:target: https://github.com/ec-jrc/nrt/actions/workflows/build_and_test.yml
:alt: Build status

.. image:: https://joss.theoj.org/papers/10.21105/joss.06815/status.svg
:target: https://doi.org/10.21105/joss.06815


``nrt`` provides a standardized interface for Near Real Time monitoring of disturbances on satellite image time-series.
The package is optimized for fast computation and suitable for operational deployment at scale.
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@article{dutrieux2024nrt,
year = {2024},
publisher = {The Open Journal},
volume = {9},
number = {100},
pages = {6815},
author = {Lo\"{i}c Dutrieux and Jonas Viehweger},
title = {nrt: Operational monitoring of satellite image time-series in Python},
title = {nrt: operational monitoring of satellite image time-series in Python},
journal = {Journal of Open Source Software},
note = {in review}
doi = {10.21105/joss.06815},
}
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