Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing
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...
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ftird:oai:ird.fr:fdi:010049390 2024-09-15T18:23:40+00:00 Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing Boudhar, A. /Duchemin, Benoît Hanich, L. /Jarlan, Lionel Chaponniere, A. Maisongrande, P. /Boulet, Gilles /Chehbouni, Abdelghani 2010 https://www.documentation.ird.fr/hor/fdi:010049390 EN eng https://www.documentation.ird.fr/hor/fdi:010049390 oai:ird.fr:fdi:010049390 Boudhar A., Duchemin Benoît, Hanich L., Jarlan Lionel, Chaponniere A., Maisongrande P., Boulet Gilles, Chehbouni Abdelghani. Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing. 2010, 12 (Suppl. 1), p. S109-S115 High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology text 2010 ftird 2024-08-15T05:57:42Z 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 Text North Atlantic North Atlantic oscillation IRD (Institute de recherche pour le développement): Horizon |
institution |
Open Polar |
collection |
IRD (Institute de recherche pour le développement): Horizon |
op_collection_id |
ftird |
language |
English |
topic |
High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology |
spellingShingle |
High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology Boudhar, A. /Duchemin, Benoît Hanich, L. /Jarlan, Lionel Chaponniere, A. Maisongrande, P. /Boulet, Gilles /Chehbouni, Abdelghani Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
topic_facet |
High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology |
description |
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 |
format |
Text |
author |
Boudhar, A. /Duchemin, Benoît Hanich, L. /Jarlan, Lionel Chaponniere, A. Maisongrande, P. /Boulet, Gilles /Chehbouni, Abdelghani |
author_facet |
Boudhar, A. /Duchemin, Benoît Hanich, L. /Jarlan, Lionel Chaponniere, A. Maisongrande, P. /Boulet, Gilles /Chehbouni, Abdelghani |
author_sort |
Boudhar, A. |
title |
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
title_short |
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
title_full |
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
title_fullStr |
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
title_full_unstemmed |
Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing |
title_sort |
long-term analysis of snow-covered area in the moroccan high-atlas through remote sensing |
publishDate |
2010 |
url |
https://www.documentation.ird.fr/hor/fdi:010049390 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://www.documentation.ird.fr/hor/fdi:010049390 oai:ird.fr:fdi:010049390 Boudhar A., Duchemin Benoît, Hanich L., Jarlan Lionel, Chaponniere A., Maisongrande P., Boulet Gilles, Chehbouni Abdelghani. Long-term analysis of snow-covered area in the Moroccan High-Atlas through remote sensing. 2010, 12 (Suppl. 1), p. S109-S115 |
_version_ |
1810463908878614528 |