Soil Erosion Risk Assessment In Nashe Dam Reservoir Using Remote Sensing, GIS And RUSLE Model Techniques.

dc.contributor.advisorHasan Raja Naqvi (PhD)
dc.contributor.authorAyana, Abera
dc.date.accessioned2025-12-16T14:13:59Z
dc.date.issued2016-06
dc.description.abstractSoil degradation is wide spread and serious throughout the Ethiopian Highlands. It is also a major watershed problem in many developing countries causing significant loss of soil fertility, loss of productivity and environmental degradation. This research has, therefore, been carried out to evaluate the soil erosion risk and quantify the major land use land cover changes over the past 20 years (1996-2016) in the Nashe watershed. The research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) and Remote Sensing (RS) to quantify the potential soil erosion risk and land use land cover changes. Rainfall data, soil data, Elevation data and satellite image were used as input data sets to generate RUSLE factor values. Raster calculator was used to interactively calculate potential soil loss and prepare soil erosion risk map. For the land use land cover change calculation two satellite images (Landsat TM 1996 and Landsat ETM+2016) has been utilized. As a result the potential soil erosion risk and land use land cover map of 1996 and 2016 of the study area was generated. The result showed that the potential annual soil loss of the watershed ranges from 0.00 to 243..065ton/ha/yr. and the mean annual soil loss rate is 45.7ton/ha/yr. Concerning the land use land cover change Grass land decline from (8.85%) to (6.85.4%), open forest changes from (47.10%) to (22.75 %) and settlement land changes from (4.42%) to (7.59%). On the contrary farm land changes from (27.18%) to (45.55%), bare lands increase from (5.40%) to (5.55%) and water body changes from (7.06%) to (12.10 %).en_US
dc.description.sponsorshipASTUen_US
dc.identifier.urihttp://10.240.1.28:4000/handle/123456789/921
dc.language.isoenen_US
dc.titleSoil Erosion Risk Assessment In Nashe Dam Reservoir Using Remote Sensing, GIS And RUSLE Model Techniques.en_US
dc.typeThesisen_US

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