Soil Loss Estimation using RUSLE Moodel

Joseph Aro
Joseph Aro

April 13, 2022

Soil Loss Estimation using RUSLE Moodel

Soil loss is an incredible phenomenon, often due to a lot of interconnecting factors such as geology, slope, soil type, compaction ratio, rainfall amount and length of rainfall amongst others. This project utilises the Revised Universal Soil Loss Equation (RUSLE) which computes the average soil loss per unit area. The project was carried out for Edo State Nigeria using a combination of high-resolution satellite images, digital elevation models, soil and geologic data, rainfall data as well as soil conservation data among others. The project was carried out in 2017 using ArcGIS and Erdas Imagine


Tools used

ArcGIS ProArcMapErdas ImagineR Studio


ArcMapGISRasterR StudioSpatial Modelling

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