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...
Published in: | International Journal of Applied Earth Observation and Geoinformation |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2010
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Subjects: | |
Online Access: | https://ird.hal.science/ird-00490046 https://ird.hal.science/ird-00490046/document https://ird.hal.science/ird-00490046/file/009_Boudhar_IJAEOG_proof2.pdf https://doi.org/10.1016/j.jag.2009.09.008 |
id |
ftinraparis:oai:HAL:ird-00490046v1 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Institut National de la Recherche Agronomique: ProdINRA |
op_collection_id |
ftinraparis |
language |
English |
topic |
High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems |
spellingShingle |
High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems Boudhar, A. Duchemin, Benoît Hanich, L. Jarlan, Lionel Chaponniere, A. Maisongrande, Philippe Boulet, Gilles Chehbouni, Ghani 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 [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems |
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 |
author2 |
Equipe Ecologie Végétale, Sol et Environnement Faculté des Sciences Semlalia Marrakech Université Cadi Ayyad Marrakech (UCA)-Université Cadi Ayyad Marrakech (UCA) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) International Water Management Institute CGIAR, Ghana (IWMI) International Water Management Institute CGIAR, Sri Lanka (IWMI) Consultative Group on International Agricultural Research CGIAR (CGIAR)-Consultative Group on International Agricultural Research CGIAR (CGIAR) |
format |
Article in Journal/Newspaper |
author |
Boudhar, A. Duchemin, Benoît Hanich, L. Jarlan, Lionel Chaponniere, A. Maisongrande, Philippe Boulet, Gilles Chehbouni, Ghani |
author_facet |
Boudhar, A. Duchemin, Benoît Hanich, L. Jarlan, Lionel Chaponniere, A. Maisongrande, Philippe Boulet, Gilles Chehbouni, Ghani |
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 |
publisher |
HAL CCSD |
publishDate |
2010 |
url |
https://ird.hal.science/ird-00490046 https://ird.hal.science/ird-00490046/document https://ird.hal.science/ird-00490046/file/009_Boudhar_IJAEOG_proof2.pdf https://doi.org/10.1016/j.jag.2009.09.008 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
ISSN: 1569-8432 EISSN: 1872-826X International Journal of Applied Earth Observation and Geoinformation https://ird.hal.science/ird-00490046 International Journal of Applied Earth Observation and Geoinformation, 2010, 12 (Suppl. 1), pp.S109-S115. ⟨10.1016/j.jag.2009.09.008⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jag.2009.09.008 ird-00490046 https://ird.hal.science/ird-00490046 https://ird.hal.science/ird-00490046/document https://ird.hal.science/ird-00490046/file/009_Boudhar_IJAEOG_proof2.pdf doi:10.1016/j.jag.2009.09.008 IRD: fdi:010049390 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1016/j.jag.2009.09.008 |
container_title |
International Journal of Applied Earth Observation and Geoinformation |
container_volume |
12 |
container_start_page |
S109 |
op_container_end_page |
S115 |
_version_ |
1810463967070388224 |
spelling |
ftinraparis:oai:HAL:ird-00490046v1 2024-09-15T18:23:43+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, Philippe Boulet, Gilles Chehbouni, Ghani Equipe Ecologie Végétale, Sol et Environnement Faculté des Sciences Semlalia Marrakech Université Cadi Ayyad Marrakech (UCA)-Université Cadi Ayyad Marrakech (UCA) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) International Water Management Institute CGIAR, Ghana (IWMI) International Water Management Institute CGIAR, Sri Lanka (IWMI) Consultative Group on International Agricultural Research CGIAR (CGIAR)-Consultative Group on International Agricultural Research CGIAR (CGIAR) 2010 https://ird.hal.science/ird-00490046 https://ird.hal.science/ird-00490046/document https://ird.hal.science/ird-00490046/file/009_Boudhar_IJAEOG_proof2.pdf https://doi.org/10.1016/j.jag.2009.09.008 en eng HAL CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jag.2009.09.008 ird-00490046 https://ird.hal.science/ird-00490046 https://ird.hal.science/ird-00490046/document https://ird.hal.science/ird-00490046/file/009_Boudhar_IJAEOG_proof2.pdf doi:10.1016/j.jag.2009.09.008 IRD: fdi:010049390 info:eu-repo/semantics/OpenAccess ISSN: 1569-8432 EISSN: 1872-826X International Journal of Applied Earth Observation and Geoinformation https://ird.hal.science/ird-00490046 International Journal of Applied Earth Observation and Geoinformation, 2010, 12 (Suppl. 1), pp.S109-S115. ⟨10.1016/j.jag.2009.09.008⟩ High-Atlas Snow cover Optical remote sensing SPOT-VEGETATION Snow Index Nival hydrology [SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/Ecosystems info:eu-repo/semantics/article Journal articles 2010 ftinraparis https://doi.org/10.1016/j.jag.2009.09.008 2024-06-25T14:36:49Z 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 Article in Journal/Newspaper North Atlantic North Atlantic oscillation Institut National de la Recherche Agronomique: ProdINRA International Journal of Applied Earth Observation and Geoinformation 12 S109 S115 |