| Name | coincident JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | Search and analysis of STV Precursor Coincident Datasets |
| upload_time | 2024-12-09 07:53:09 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | Copyright 2024 Scott Henderson Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# coincident
[![Actions Status][actions-badge]][actions-link]
[![Documentation Status][rtd-badge]][rtd-link]
[![Available on pypi][pypi-version]][pypi-link]
[](https://codespaces.new/uw-cryo/coincident)
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[conda-link]: https://github.com/conda-forge/coincident-feedstock
[github-discussions-badge]: https://img.shields.io/static/v1?label=Discussions&message=Ask&color=blue&logo=github
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Identify, curate, process and distribute coincident datasets contained within
select archives across a range of representative terrain and landcover types.
Such datasets are intended to be used by the NASA STV community for
calibration/validation, fusion algorithm development, and discipline-specific
scientific analysis.
See here for more information:
<https://science.nasa.gov/earth-science/decadal-surveys/decadal-stv/coincident-datasets>
**This tool is under active development, there are no stable releases yet!**
## Acknowledgements
- Python packaging template provided by
<https://github.com/scientific-python/cookie>
- Funding for this effort was provided by NASA Grant 80NSSC22K1094
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