#SPARSE Model
Soil Plant Atmosphere Remote Sensing Evapotranspiration model.
License:
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:
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:
Acknowledgments:
The present study received support from the CNES (Centre National d’Etude Spatiale, France).
Reference for the model:
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:
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:
- 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:
run_sparse.py main sample file to run the model.