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22 October 2010 Integrated modelling of the water cycle in semi arid watersheds based on ground and satellite data: the SudMed project
V. Simonneaux, A. Abourida, A. Boudhar, A. Cheggour, A. Chaponnière, B. Berjamy, G. Boulet, A. Chehbouni, L. Drapeau, B. Duchemin, S. Erraki, J. Ezzahar, R. Escadafal, N. Guemouria, L. Hanich, L. Jarlan, H. Kharrou, S. Khabba, M. Le Page, S. Mangiarotti, O. Merlin, B. Mougenot, A. Mokssit, A. Ouldbba, A. Chehbouni
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Proceedings Volume 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII; 78241B (2010) https://doi.org/10.1117/12.865086
Event: SPIE Remote Sensing, 2010, Toulouse, France
Abstract
The SudMed project aims since 2002 at modelling the hydrological cycle in the Tensift semi arid watershed located in central Morocco. To reach these modelling objectives, emphasis is put on the use of high and low resolution remote sensing data, in the visible, near infrared, thermal, and microwave domains, to initialize, to force or to control the implementation of the process models. Fundamental studies have been conducted on Soil-Vegetation-Atmosphere Transfer modelling (SVAT), especially related to the various means of incorporating both ground and remote sensing observation into them. Satellite data have been used for monitoring the snow dynamic which is a major contribution to runoff issued from the mountains. Remote sensing image time series have also been used to map the land cover, based on NDVI time profiles analysis or temporal unmixing of low resolution pixels. Subsequently, remote sensing time series proved to be very valuable for monitoring the development of vegetation and the crop water status, in order to estimate of evapotranspiration, key information for irrigation management.
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V. Simonneaux, A. Abourida, A. Boudhar, A. Cheggour, A. Chaponnière, B. Berjamy, G. Boulet, A. Chehbouni, L. Drapeau, B. Duchemin, S. Erraki, J. Ezzahar, R. Escadafal, N. Guemouria, L. Hanich, L. Jarlan, H. Kharrou, S. Khabba, M. Le Page, S. Mangiarotti, O. Merlin, B. Mougenot, A. Mokssit, A. Ouldbba, and A. Chehbouni "Integrated modelling of the water cycle in semi arid watersheds based on ground and satellite data: the SudMed project", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78241B (22 October 2010); https://doi.org/10.1117/12.865086
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KEYWORDS
Vegetation
Data modeling
Satellites
Modeling
Remote sensing
Agriculture
Soil science
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