<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Soil water erosion is a major aspect of landscape degradation in sub-wet to semi-arid Mediterranean environments. This problem has not been dealt with in detail in Algeria although it affects large areas. The objective of this study is to develop a methodology using remote sensing, the digital terrain model (DTM) and geographic information systems (GIS) to map areas with a risk of water erosion within the territory of Saida province and to produce a risk map that can be used as a reference document by the local authority. The presented methodology consists to incorporate three factors controlling the erosion: slope, material friability and land use. The resulting erosion risk map shows five areas of vulnerability to water erosion: very low, low, moderate, high and very high. Areas with high and very high risk of erosion cover more than 20% of the mountainous area and are consistent with our field observations. The methodology presented in this study can be generalized to all areas of the foothills of the Tellian Atlas, where erosion risks pose a threat to urban areas. This model is a tool to help implement a soil conservation plan in order to organise the measures to be applied and ensure sustainable soil management.</p>
</abstract>

Soil water erosion is a major aspect of landscape degradation in sub-wet to semi-arid Mediterranean environments. This problem has not been dealt with in detail in Algeria although it affects large areas. The objective of this study is to develop a methodology using remote sensing, the digital terrain model (DTM) and geographic information systems (GIS) to map areas with a risk of water erosion within the territory of Saida province and to produce a risk map that can be used as a reference document by the local authority. The presented methodology consists to incorporate three factors controlling the erosion: slope, material friability and land use. The resulting erosion risk map shows five areas of vulnerability to water erosion: very low, low, moderate, high and very high. Areas with high and very high risk of erosion cover more than 20% of the mountainous area and are consistent with our field observations. The methodology presented in this study can be generalized to all areas of the foothills of the Tellian Atlas, where erosion risks pose a threat to urban areas. This model is a tool to help implement a soil conservation plan in order to organise the measures to be applied and ensure sustainable soil management.

Contribution of G.I.S and Remote Sensing for the Risk Mapping of Soil Water Erosion at Saida Province (Western of Algeria)

Laboratory of Ecology and Management of Natural Ecosystems

Laboratory for the Eco-Development of Spaces

Djillali Liabes University of Sidi Bel Abbes

Laboratory of Biotoxicology, Pharmacognosia and Biological Valuation of Plants

Advanced Research in Life Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Soil water erosion is a major aspect of landscape degradation in sub-wet to semi-arid Mediterranean environments. This problem has not been dealt with in...

Contribution of G.I.S and Remote Sensing for the Risk Mapping of Soil Water Erosion at Saida Province (Western of Algeria)

Published Online: Jan 20, 2023

Page range: 10 - 21

Received: Nov 01, 2022

Accepted: Dec 01, 2022

DOI: https://doi.org/10.2478/arls-2023-0002

Keywords
geographic information system (GIS), Saida, sustainable soil management, remote sensing, water erosion

© 2023 Sid Ahmed Aouadj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Contribution of G.I.S and Remote Sensing for the Risk Mapping of Soil Water Erosion at Saida Province (Western of Algeria)

Published Online: Jan 20, 2023

Page range: 10 - 21

Received: Nov 01, 2022

Accepted: Dec 01, 2022

DOI: https://doi.org/10.2478/arls-2023-0002

Keywordsgeographic information system (GIS), Saida, sustainable soil management, remote sensing, water erosion

© 2023 Sid Ahmed Aouadj et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
geographic information system (GIS), Saida, sustainable soil management, remote sensing, water erosion