@article{PAR00002730,
  title = {{A}n integrated modelling and remote sensing approach for hydrological study in arid and semi-arid regions : the {SUDMED} programme},
  author = {{C}hehbouni, {A}bdelghani and {E}scadafal, {R}ichard and {D}uchemin, {B}eno{\^i}t and {B}oulet, {G}illes and {S}imonneaux, {V}incent and {D}edieu, {G}. and {M}ougenot, {B}ernard and {K}habba, {S}. and {K}harrou, {H}. and {M}aisongrande, {P}. and {M}erlin, {O}. and {C}haponni{\`e}re, {A}. and {E}zzahar, {J}. and {E}r-{R}aki, {S}. and {H}oedjes, {J}. and {H}adria, {R}. and {A}bourida, {A}. and {C}heggour, {A}. and {R}aibi, {F}. and {B}oudhar, {A}. and {B}enhadj, {I}. and {H}anich, {L}. and {B}enkaddour, {A}. and {G}uemouria, {N}. and {C}hehbouni, {A}. {H}. and {L}ahrouni, {A}. and {O}lioso, {A}. and {J}acob, {F}r{\'e}d{\'e}ric and {W}illiams, {D}.{G}. and {S}obrino, {J}.{A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{R}ecent 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. {I}n this context, remote sensing data have been widely used to initialize, to force, or to control the simulations of these models. {H}owever, for several reasons, including the difficulty in establishing relationships between observational and model variables, the potential offered by satellite data has not been fully used. {A}s a matter of fact, a few hydrological studies that use remote sensing data emanating from different sources (sensors, platforms) have been performed. {I}n this context, the {SUDMED} programme has been designed in 2002 to address the issue of improving our understanding about the hydrological functioning of the {T}ensift basin, which is a semi-arid basin situated in central {M}orocco. {T}he first goal is model development and/or refinement, for investigating the hydrological responses to future scenario about climate change and human pressure. {T}he second aim is the effective use of remote sensing observations in conjunction with process models, to provide operational prognostics for improving water-resource management. {T}he objective of this paper is to present the {SUDMED} programme, its objectives, and its thrust areas, and to provide an overview of the results obtained in the first phase of the programme (2002-2006). {F}inally, the lessons learned, future objectives, and unsolved issues are presented.},
  keywords = {},
  booktitle = {},
  journal = {{I}nternational {J}ournal of {R}emote {S}ensing},
  volume = {29},
  numero = {17-18},
  pages = {5161--5181},
  ISSN = {0143-1161},
  year = {2008},
  DOI = {10.1080/01431160802036417},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00002730},
}