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Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing
Boudhar A., Duchemin B., Hanich L., Jarlan L., Chaponniere A., Maisongrande P., Boulet G., Chehbouni A.
International Journal of Applied Earth Observation and Geoinformation 12, Suppl. 1 (2010) S109-S115 - http://hal.ird.fr/ird-00490046
Articles dans des revues avec comité de lecture
Sciences du Vivant/Ecologie, Environnement/Ecosystèmes
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing
A. Boudhar ( ) 1, Benoît Duchemin 2, L. Hanich 1, Lionel Jarlan 2, A. Chaponniere 3, P. Maisongrande 2, Gilles Boulet 2, Abdelghani Chehbouni 2
1 :  Equipe Ecologie Végétale, Sol et Environnement
Faculté des Sciences Semlalia Marrakech
Université Cadi Ayyad, Marrakech, Avenue Prince Moulay Abdallah, BP 2390, Marrakech, 40000, Morocco
France
2 :  Centre d'études spatiales de la biosphère (CESBIO)
http://www.cesbio.ups-tlse.fr
CNRS : UMR5126 – Institut de recherche pour le développement [IRD] – CNES – Observatoire Midi-Pyrénées – INSU – Université Paul Sabatier [UPS] - Toulouse III
bpi 2801 18 Av Edouard Belin 31401 TOULOUSE CEDEX 4
France
3 :  International Water Management Institute(IWNI) (IWNI)
Interna
West Africa, PMB CT 112, Cantonments, Accra Ghana
Ghana
The High-Atlas Mountainous region in Morocco is a true Water tower for the neighbouring arid plains, where the water resources at e intensively and increasingly Subjected to exploitation for agriculture and tourism In order to manage this resource sustainably, it is necessary to describe accurately all the processes that contribute to the hydrological cycle of the area. and, in particular, to know the respective contributions of liquid and solid precipitations to runoff In this context, a seven-year time series of SPOT-VEGETATION images is used for mapping snow-covered areas The spatial and temporal variations of the snow cover are analyzed for the entire High-Atlas region as well as by altitudinal zones The spatial distribution of snow-covered areas appears logically controlled by elevation. and its temporal fluctuations can be clearly used to identify dry and wet seasons In addition, a possible control of snowfalls by the Northern Atlantic climate variability, and, in particular, the North Atlantic Oscillation, is highlighted Finally, this Study Shows how satellite remote sensing can be useful for the long-term observation of the intra- and inter-annual variability of snowpacks in rather inaccessible regions where the network of meteorological stations is deficient (C) 2009 Elsevier B V All rights reserved
Anglais

International Journal of Applied Earth Observation and Geoinformation
Publisher Elsevier
ISSN 0303-2434 
non spécifiée
2010
12
Suppl. 1
S109-S115

High-Atlas – Snow cover – Optical remote sensing – SPOT-VEGETATION – Snow – Index – Nival hydrology
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