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OS4d Remote sensing, DSS and GIS applications

abstract 28

An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions

Author(s): A. Chehbouni(1), G. Boulet(1), B. Duchemin(1), V. Simmoneaux(1), R. Escadafal(1),B. Mougenot(1), L. Hanich(2), L. Jarlan(1), S. Khabba(2), M. Le Page(1), S. Erraki(2), J. Ezzahar(2), R. Hadria(1)(2), O. Merlin(2), A. Abourida(2), A. Cheggour(2), I
(1) IRD/CESBIO: UMR CNES-CNRS-IRD-UPS; 18, avenue Edouard Belin, 31401 Toulouse Cedex 9 – France. (2) Université Cadi Ayyad, Marrakech , Maroc. (3) ORMVAH, Marrakech , Maroc. Toulouse, France. (4) Agence de bassin de Tensift (ABHT), Marrakech, Maroc

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Session: OS4d Remote sensing, DSS and GIS applications

AbstractRecent efforts have been concentrated in the development

of models to understand and predict the impact of environmental changes on hydrological cycle and water resources

in arid and semi-arid regions. In this context, remote sensing data have been widely used to initialize, to force or to

control the simulations of these models. However, for several reasons, including the difficulty in establishing

relationships between observational and model variables and the discrepancy of the space-time resolutions of data

emanating from different platforms, the potential offered by satellite data has not been fully used. As a matter of fact,

a few hydrological studies that use remote sensing data emanating from different sources have been performed. In

this context, the SUDMED program has been designed to address the issue of improving our understanding about

the hydrological functioning of a semi-arid basin. The first goal is model development and/or refinement, for

investigating the hydrological responses to future scenarii about climate change and human pressure. The second aim

is the effective use of remote sensing observations in conjunction with process models, to provide operational

prognostics for improving water resource management. The objective of this presentation is to provide an overview

of the SUDMED program, its objectives and its trust areas, and to present the results obtained associated with the

different components of hydrological cycle: namely, snow dynamic, surface water-ground water interaction and the

evapotranspiration. Finally, the lessons learned, future objectives and the unsolved issues are presented.

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An integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions