Programme OS4d Remote sensing, DSS and
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
UMR CNES-CNRS-IRD-UPS; 18, avenue Edouard Belin, 31401 Toulouse Cedex 9 – France.
Cadi Ayyad, Marrakech , Maroc.
(3) ORMVAH, Marrakech , Maroc. Toulouse, France.
(4) Agence de
bassin de Tensift (ABHT), Marrakech, Maroc
Session: OS4d Remote sensing, DSS and
Recent 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.