README.md

#__SPARSE Model__
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Soil Plant Atmosphere Remote Sensing Evapotranspiration model.

License:
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This is free software under the GNU General Public License v3.0. 
See https://www.gnu.org/licenses/gpl-3.0.en.html for details or the LICENSE.txt file


Author:
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Gilles Boulet,
Jérémy Auclair,

CESBIO UMR5126, (CNRS,UPS,CNES,IRD)
13 avenue du Colonel Roche
31401 Toulouse cedex 9
http://www.cesbio.ups-tlse.fr/

Contact:
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gilles.boulet@ird.fr

Acknowledgments: 
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The present study received support from the CNES (Centre National d’Etude Spatiale, France).

Reference for the model:
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Boulet, G., Mougenot, B., Lhomme, J.P., Fanise, P., Lili-Chabaane, Z., Olioso, A., Bahir, M., Rivalland, V., Jarlan, L., Merlin, O., Coudert, B., Er-Raki, S., Lagouarde, J.P., 2015. The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat. Hydrol. Earth Syst. Sci., 19(11): 4653-4672.

Full-Text: http://www.hydrol-earth-syst-sci.net/19/4653/2015/hess-19-4653-2015.pdf

Summary:
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The SPARSE model is originally coded in Matlab language (here adapted to python); it computes the energy budget components for two sources (soil and vegetation) from surface (Leaf Area Index, vegetation height) and meterological forcing data.

Installation requirements:
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- respect the basic principles of GPL v3 licence.
		https://www.gnu.org/licenses/gpl-3.0-standalone.html
- contact the author if bugs are found :
	mailto:gilles.boulet@ird.fr 


Example file:
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run_sparse.py main sample file to run the model.