ABSTRACT
The UNPRA-Ethiopia project aims to improve the livelihoods of rural communities in the rainfed agro-ecosystem of the Amhara region of Ethiopia. One component of the project is to monitor and model the impact of community-based soil and water conservation interventions on land degradation at field and watershed levels. To achieve this, quantitative information and spatial distribution of soil properties are among the main prerequisites. Soil-landscape modelling has been used to model the spatial distribution of specific soil properties, including A-horizon thickness, organic matter content, extractable phosphorus, pH, sand and silt content. It predicts soil attributes based on a Digital Elevation Model (DEM) and remote sensing. In this modelling the comparison was done in DEMs with different sources and resolutions. Map algebra of ArcGIS was used to get predicted soil attribute grids using statistical analysis results and raster grids. Predictions for individual classes were merged together to generate predicted values for the whole watershed.
