Metadata-Version: 2.4
Name: EMITL2ARFL
Version: 1.0.0
Summary: EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m Search and Download Utility
Author-email: "Gregory H. Halverson" <gregory.h.halverson@jpl.nasa.gov>
Project-URL: Homepage, https://github.com/STARS-Data-Fusion/EMITL2ARFL
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: colored-logging
Requires-Dist: earthaccess
Requires-Dist: geopandas
Requires-Dist: netCDF4
Requires-Dist: python-dateutil
Requires-Dist: rasters
Requires-Dist: rioxarray
Requires-Dist: spectral
Requires-Dist: xarray
Provides-Extra: dev
Requires-Dist: build; extra == "dev"
Requires-Dist: pytest>=6.0; extra == "dev"
Requires-Dist: pytest-cov; extra == "dev"
Requires-Dist: jupyter; extra == "dev"
Requires-Dist: pytest; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: license-file

# EMIT L2A Estimated Surface Reflectance and Uncertainty and Masks 60 m Search and Download Utility

This Python package is a tool for searching, downloading, and reading hypspectral surface reflectance from the Earth Surface Mineral Dust Source Investigation (EMIT) L2A RFL data product.

Gregory H. Halverson (they/them)<br>
[gregory.h.halverson@jpl.nasa.gov](mailto:gregory.h.halverson@jpl.nasa.gov)<br>
NASA Jet Propulsion Laboratory 329G<br>

## References

* Green, R. O., et al. (2023). Earth Surface Mineral Dust Source Investigation (EMIT) L2A Estimated Surface Reflectance and Uncertainty and Masks, Version 1. [Data set]. NASA EOSDIS Land Processes DAAC. [doi:10.5067/EMIT/EMITL2ARFL.001](https://doi.org/10.5067/EMIT/EMITL2ARFL.001)

* Green, R. O., et al. (2024). The Earth Surface Mineral Dust Source Investigation (EMIT) on the International Space Station: In-flight instrument performance and first results. *Remote Sensing of Environment*, 282, 113277. [doi:10.1016/j.rse.2023.113277](https://doi.org/10.1016/j.rse.2023.113277)
