Metadata-Version: 2.4
Name: verma-net-radiation
Version: 1.0.1
Summary: Net Radiation and Daily Upscaling Remote Sensing in Python
Author-email: Gregory Halverson <gregory.h.halverson@jpl.nasa.gov>
Project-URL: Homepage, https://github.com/JPL-Evapotranspiration-Algorithms/verma-net-radiation
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: rasters
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

# Net Radiation and Daily Upscaling Remote Sensing in Python

This Python package implements the net radiation and daily upscaling methods described in Verma et al 2016.

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

## References  

Verma, M., Fisher, J. B., Mallick, K., Ryu, Y., Kobayashi, H., Guillaume, A., Moore, G., Ramakrishnan, L., Hendrix, V. C., Wolf, S., Sikka, M., Kiely, G., Wohlfahrt, G., Gielen, B., Roupsard, O., Toscano, P., Arain, A., & Cescatti, A. (2016). Global surface net-radiation at 5 km from MODIS Terra. *Remote Sensing, 8*, 739. [Link](https://api.semanticscholar.org/CorpusID:1517647)
