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King Abdulaziz University (2017)

Estimation of Soil Loss Using Remote Sensing Technique in Arid Environment Wadi System in Saudi Arabia

Alghailani, Ebtisam Mohammed

Titre : Estimation of Soil Loss Using Remote Sensing Technique in Arid Environment Wadi System in Saudi Arabia

تقدير فقدان التربة باستخدام تقنية الاستشعار عن بعد في البيئات الجافة لنظام الوادي في المملكة العربية السعودية

Auteur : Alghailani, Ebtisam Mohammed

Université de soutenance : King Abdulaziz University

Grade : Master Thesis 1438 AH 2017 AD

Résumé
Soil Erosion is one of the major environmental problems in terms of soil degradation in Saudi Arabia. Soil erosion leads to significant on and off-site impacts such as significant decrease of the productive capacity of the land and sedimentation. The key aspects influencing the quantity of soil erosion are mainly relay on the vegetation cover, topography, soil type and climate. This research studies the quantification of soil erosion under different levels of data availability in Wadi Yalamlam. Remote Sensing (RS) and Geographic Information Systems (GIS) techniques have been implemented for the assessment of the data, applying the Revised Universal Soil Loss Equation (RUSLE) for the calculation of the risk of erosion. Thirty four soli sample were randomly selected for the calculation of the erodibility factor, based on calculating the K factor values derived from soil property surfaces after interpolating soil sampling points. Soil erosion risk map reclassified into five erosion risk classes and 19.3% of Wadi Yalamlam is under very sever risk (37,740 ha). GIS and RS proved to be powerful instruments for mapping soil erosion risk, providing sufficient tools for the analytical part of this research. The mapping results certified the role of RUSLE as a decision support tool.

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Page publiée le 19 janvier 2019