Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))

Sidi Mohamed Ben Abdellah dam watershed is one of the most vulnerable areas of the risk of soil degradation due to its wide exposure, lithological heterogeneity and varying climatic factors. In this sense, the qualitative study of the spatial-temporal evaluation of ground-level occupancy from sate...

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Main Authors: Ouakil Abdelhadi, Benhichou Badr, Elbelrhiti Kaoutar, Amimi Taha, Chao Jamal, Elbelrhiti Hicham
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2022-11-01
Series:Ecological Engineering & Environmental Technology
Subjects:
Online Access:http://www.ecoeet.com/Coupling-of-Space-Remote-Sensing-and-GIS-for-Detection-of-Areas-at-Risk-of-Degradation,152953,0,2.html
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author Ouakil Abdelhadi
Benhichou Badr
Elbelrhiti Kaoutar
Amimi Taha
Chao Jamal
Elbelrhiti Hicham
author_facet Ouakil Abdelhadi
Benhichou Badr
Elbelrhiti Kaoutar
Amimi Taha
Chao Jamal
Elbelrhiti Hicham
author_sort Ouakil Abdelhadi
collection DOAJ
description Sidi Mohamed Ben Abdellah dam watershed is one of the most vulnerable areas of the risk of soil degradation due to its wide exposure, lithological heterogeneity and varying climatic factors. In this sense, the qualitative study of the spatial-temporal evaluation of ground-level occupancy from satellite visualisation data (acquired by the Landsat TM 5 and Landsat TM 8) device derives a land-use map that shows the areas at risk degradation after the integration of a combination of multiple factors into a GIS geographic information system (climate, terrain, pedology, vegetation cover and human intervention (anti-erosive practice); The results require adaptive vision to better control the phenomenon, toreduce its severity in areas at high risk of soil degradation.
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spelling doaj.art-8b03574145e84186b0be3ce948869eb82022-12-22T03:47:42ZengPolish Society of Ecological Engineering (PTIE)Ecological Engineering & Environmental Technology2719-70502022-11-0123616117210.12912/27197050/152953152953Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))Ouakil Abdelhadi0https://orcid.org/0000-0002-7282-8785Benhichou Badr1Elbelrhiti Kaoutar2https://orcid.org/0000-0003-1773-3828Amimi Taha3https://orcid.org/0000-0002-7858-8209Chao Jamal4https://orcid.org/0000-0002-7283-654XElbelrhiti Hicham5https://orcid.org/0000-0001-5530-2514Laboratory of Natural Resources and Sustainable Development, Faculty of Sciences of Kenitra, University Ibn Tofail, Av. de L'Université, Kénitra, MoroccoGeo-Biodiversity and Natural Patrimony Laboratory, Scientific Institute, Mohammed V University in Rabat, Rabat, MoroccoLaboratory of Natural Resources and Sustainable Development, Faculty of Sciences of Kenitra, University Ibn Tofail, Av. de L'Université, Kénitra, MoroccoLaboratory of Natural Resources and Sustainable Development, Faculty of Sciences of Kenitra, University Ibn Tofail, Av. de L'Université, Kénitra, MoroccoLaboratory of Natural Resources and Sustainable Development, Faculty of Sciences of Kenitra, University Ibn Tofail, Av. de L'Université, Kénitra, MoroccoDepartment of Fundamental and Applied Sciences (DSFA), Agronomic and Veterinary Institute Hassan II, BP 6202 Madinat ALirfan, Rabat, MoroocoSidi Mohamed Ben Abdellah dam watershed is one of the most vulnerable areas of the risk of soil degradation due to its wide exposure, lithological heterogeneity and varying climatic factors. In this sense, the qualitative study of the spatial-temporal evaluation of ground-level occupancy from satellite visualisation data (acquired by the Landsat TM 5 and Landsat TM 8) device derives a land-use map that shows the areas at risk degradation after the integration of a combination of multiple factors into a GIS geographic information system (climate, terrain, pedology, vegetation cover and human intervention (anti-erosive practice); The results require adaptive vision to better control the phenomenon, toreduce its severity in areas at high risk of soil degradation.http://www.ecoeet.com/Coupling-of-Space-Remote-Sensing-and-GIS-for-Detection-of-Areas-at-Risk-of-Degradation,152953,0,2.htmluslegiserosionwatershedsmbamorocco
spellingShingle Ouakil Abdelhadi
Benhichou Badr
Elbelrhiti Kaoutar
Amimi Taha
Chao Jamal
Elbelrhiti Hicham
Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
Ecological Engineering & Environmental Technology
usle
gis
erosion
watershed
smba
morocco
title Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
title_full Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
title_fullStr Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
title_full_unstemmed Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
title_short Coupling of Space Remote Sensing and GIS for Detection of Areas at Risk of Degradation (Sidi Mohammed Ben Abdellah Dam Case (Morocco))
title_sort coupling of space remote sensing and gis for detection of areas at risk of degradation sidi mohammed ben abdellah dam case morocco
topic usle
gis
erosion
watershed
smba
morocco
url http://www.ecoeet.com/Coupling-of-Space-Remote-Sensing-and-GIS-for-Detection-of-Areas-at-Risk-of-Degradation,152953,0,2.html
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