Mapping Soil Erosion Risk Using RUSLE, GIS, Remote Sensing Methods: A Case of Mountainous Sub-watershed, Ifni Lake and High Valley of Tifnoute (High Moroccan Atlas)
Kacem Lamyaa, Agoussine M’bark, Igmoullan Brahim, Amar Hicham & Mokhtari Soraya · Journal of Geography, Environment and Earth Science International · 2018
It is important to combine different methods to quantify the soil loss in a mountainous sub-watershed. Geographic Information System (GIS), Remote Sensing and Revised Universal Soil Loss Equation (RUSLE) were adopted to estimate the annual soil loss in the highest watershed in Mo...
Open access
Research Article
10.9734/JGEESI/2018/40322