Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)

In areas highly affected by drought in a changing climate, evapotranspiration (ET) becomes a significant parameter affecting soils and vegetation. ET estimation on a large scale remains a problem in understanding the hydrologic system; it is complicated over heterogeneous land use and land cover. Ho...

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Main Authors: Oumou Abdellah, Essahlaoui Ali, Khrabcha Abdelali, Essahlaoui Narjisse, Alitane Abdennabi, Kassou Amina, El Hafyani Mohammed, Van Rompaey Anton, Gobin Anne
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
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Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04022.pdf
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author Oumou Abdellah
Essahlaoui Ali
Khrabcha Abdelali
Essahlaoui Narjisse
Alitane Abdennabi
Kassou Amina
El Hafyani Mohammed
Van Rompaey Anton
Gobin Anne
author_facet Oumou Abdellah
Essahlaoui Ali
Khrabcha Abdelali
Essahlaoui Narjisse
Alitane Abdennabi
Kassou Amina
El Hafyani Mohammed
Van Rompaey Anton
Gobin Anne
author_sort Oumou Abdellah
collection DOAJ
description In areas highly affected by drought in a changing climate, evapotranspiration (ET) becomes a significant parameter affecting soils and vegetation. ET estimation on a large scale remains a problem in understanding the hydrologic system; it is complicated over heterogeneous land use and land cover. However, the availability of remote sensing imagery and local weather data has made ET mapping possible through the application of models. In this study, the METRIC model was applied using Landsat satellite imagery and climatic data. This involves resolving the surface energy balance equation by calculating net radiation, soil heat flux, and sensible heat flux. Two satellite images were used at a resolution of 15m: one for January as a wet season and another for July as a dry period. ET ranges between 2 and 12 mm/day. Higher values are estimated during the dry period, and lower values are attributed to the wet period. Furthermore, water bodies and vegetation are characterized by significant ET compared to bare soils and urbanized areas. The comparison of METRIC ET and reference ET showed a strong correlation with an R², RMSE, and MAE of 0.68, 1.0, and 0.78, respectively. This study can assist managers in their water and agricultural adaptation strategies against climate change.
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institution Kabale University
issn 2267-1242
language English
publishDate 2025-01-01
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spelling doaj-art-4061ba802d7f4f969b8c753b27366b592025-02-05T10:49:24ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070402210.1051/e3sconf/202560704022e3sconf_errachidia2024_04022Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)Oumou Abdellah0Essahlaoui Ali1Khrabcha Abdelali2Essahlaoui Narjisse3Alitane Abdennabi4Kassou Amina5El Hafyani Mohammed6Van Rompaey Anton7Gobin Anne8Laboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Faculty of Sciences, Moulay Ismail UniversityLaboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Faculty of Sciences, Moulay Ismail UniversityLaboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Faculty of Sciences, Moulay Ismail UniversityLaboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Faculty of Sciences, Moulay Ismail UniversityLaboratory of Geoengineering and Environment, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Faculty of Sciences, Moulay Ismail UniversityGeo-Resource, Geo-Environment and Oasis Geological Heritage Research Group, Engineering Sciences and Techniques Laboratory, Geosciences Department, Faculty of Sciences and Techniques, Moulay Ismail UniversityNational Institute for Scientific and Technological Research in Water, University Ibn Zohr - Agadir ·Geography and Tourism Research Group, Department Earth and Environmental ScienceDivision of Soil and Water Management, Department of Earth and Environmental Sciences, Faculty of BioScience Engineering, Katholieke Universiteit LeuvenIn areas highly affected by drought in a changing climate, evapotranspiration (ET) becomes a significant parameter affecting soils and vegetation. ET estimation on a large scale remains a problem in understanding the hydrologic system; it is complicated over heterogeneous land use and land cover. However, the availability of remote sensing imagery and local weather data has made ET mapping possible through the application of models. In this study, the METRIC model was applied using Landsat satellite imagery and climatic data. This involves resolving the surface energy balance equation by calculating net radiation, soil heat flux, and sensible heat flux. Two satellite images were used at a resolution of 15m: one for January as a wet season and another for July as a dry period. ET ranges between 2 and 12 mm/day. Higher values are estimated during the dry period, and lower values are attributed to the wet period. Furthermore, water bodies and vegetation are characterized by significant ET compared to bare soils and urbanized areas. The comparison of METRIC ET and reference ET showed a strong correlation with an R², RMSE, and MAE of 0.68, 1.0, and 0.78, respectively. This study can assist managers in their water and agricultural adaptation strategies against climate change.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04022.pdfmapping evapotranspirationmetric modelsaiss basin
spellingShingle Oumou Abdellah
Essahlaoui Ali
Khrabcha Abdelali
Essahlaoui Narjisse
Alitane Abdennabi
Kassou Amina
El Hafyani Mohammed
Van Rompaey Anton
Gobin Anne
Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
E3S Web of Conferences
mapping evapotranspiration
metric model
saiss basin
title Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
title_full Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
title_fullStr Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
title_full_unstemmed Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
title_short Utilizing Remote Sensing to Quantify Evapotranspiration: A Case Study of the Saiss Basin (Morocco)
title_sort utilizing remote sensing to quantify evapotranspiration a case study of the saiss basin morocco
topic mapping evapotranspiration
metric model
saiss basin
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_04022.pdf
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