Contribution of MODIS image to hydrologic and erosion modeling
Erosion is the most dangerous phenomenon of environmental and economic threat to arable land. By FAO. 35 % of Tunisian land are threatened by water erosion and varies regionally. Quantification and estimation of soil loss by water erosion is now essential to install the best management pra...
Main Authors: | , , , , |
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Format: | Article |
Language: | Arabic |
Published: |
Arid regions institute
2022-06-01
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Series: | Journal of Oasis Agriculture and Sustainable Development |
Online Access: | https://www.joasdjournal.com/spiss302022 |
_version_ | 1811342490022707200 |
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author | Nour El Houda Boughattas Safa Gammoudi Kaoula Abrougui Roua Amami Mohamed Saber Naceur |
author_facet | Nour El Houda Boughattas Safa Gammoudi Kaoula Abrougui Roua Amami Mohamed Saber Naceur |
author_sort | Nour El Houda Boughattas |
collection | DOAJ |
description | Erosion is the most dangerous phenomenon of environmental and economic threat to arable land. By FAO. 35 % of Tunisian land are threatened by water erosion and varies regionally. Quantification and estimation of soil loss by water erosion is now essential to install the best management practices. In our study, we used a continuous physical based simulation version of a hydrological and water erosion model ANSWERS-2000. The aim of this study is to investigate the introduction of land use parameters extracted by MODIS image. This study is focused on El Azire watershed, is characterized by a moderate Mediterranean climate and a high spatial heterogeneity of soil and land use proprieties. Describing, monitoring, and predicting land-use and land-cover change in the watershed is a difficult process. However, the usefulness of MODIS image with their daily temporal resolution and spatial resolutions of 250 m and 500 m can make utilization of continuous physical-based models easier for great scale watersheds. A sensitivity analysis was conducted on each application such that the variability in erosion map output and can be assessed and incorporated into the interpretation of results with an acceptable level of confidence. |
first_indexed | 2024-04-13T19:12:03Z |
format | Article |
id | doaj.art-0c2f328c29044eb8bd546ace5067023c |
institution | Directory Open Access Journal |
issn | 2724-699X 2724-7007 |
language | Arabic |
last_indexed | 2024-04-13T19:12:03Z |
publishDate | 2022-06-01 |
publisher | Arid regions institute |
record_format | Article |
series | Journal of Oasis Agriculture and Sustainable Development |
spelling | doaj.art-0c2f328c29044eb8bd546ace5067023c2022-12-22T02:33:48ZaraArid regions instituteJournal of Oasis Agriculture and Sustainable Development2724-699X2724-70072022-06-014Special22423010.56027/JOASD.spiss302022Contribution of MODIS image to hydrologic and erosion modelingNour El Houda BoughattasSafa GammoudiKaoula AbrouguiRoua AmamiMohamed Saber Naceur Erosion is the most dangerous phenomenon of environmental and economic threat to arable land. By FAO. 35 % of Tunisian land are threatened by water erosion and varies regionally. Quantification and estimation of soil loss by water erosion is now essential to install the best management practices. In our study, we used a continuous physical based simulation version of a hydrological and water erosion model ANSWERS-2000. The aim of this study is to investigate the introduction of land use parameters extracted by MODIS image. This study is focused on El Azire watershed, is characterized by a moderate Mediterranean climate and a high spatial heterogeneity of soil and land use proprieties. Describing, monitoring, and predicting land-use and land-cover change in the watershed is a difficult process. However, the usefulness of MODIS image with their daily temporal resolution and spatial resolutions of 250 m and 500 m can make utilization of continuous physical-based models easier for great scale watersheds. A sensitivity analysis was conducted on each application such that the variability in erosion map output and can be assessed and incorporated into the interpretation of results with an acceptable level of confidence.https://www.joasdjournal.com/spiss302022 |
spellingShingle | Nour El Houda Boughattas Safa Gammoudi Kaoula Abrougui Roua Amami Mohamed Saber Naceur Contribution of MODIS image to hydrologic and erosion modeling Journal of Oasis Agriculture and Sustainable Development |
title | Contribution of MODIS image to hydrologic and erosion modeling |
title_full | Contribution of MODIS image to hydrologic and erosion modeling |
title_fullStr | Contribution of MODIS image to hydrologic and erosion modeling |
title_full_unstemmed | Contribution of MODIS image to hydrologic and erosion modeling |
title_short | Contribution of MODIS image to hydrologic and erosion modeling |
title_sort | contribution of modis image to hydrologic and erosion modeling |
url | https://www.joasdjournal.com/spiss302022 |
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