Risk assessment of soil erosion using RUSLE model in the olive cultivation area of Kolymvari, Crete
2006
Sekuloska, T.
Due to inappropriate weed-control and soil-management soil erosion is one of the most dangerous forms of soil degradation in many olive farming areas in the Mediterannean region, leading to significant decrease of soil fertility and yield. To prevent further soil resource degradation, risk assessment and appropriate management are prerequisite tools that must be locally implemented. In this perspective, an increase in the reliability of remote sensing (RS) techniques, modifications in soil erosion modelling, and recent advances in GIS, represent significant tools that can be applied for modelling soil erosion risk in the spatial domain. This study attempted to implement modem GIS/RS in assessing and mapping the risk of sheet and rill erosion in Kolymvari, an olive farming area in the island of Crete, Greece. In this framework, the Revised Universal Soil Loss Equation (RUSLE) was applied, assembling very high resolution satellite imagery, meteorological data, geologic data, and topographic properties derived from a Digital Elevation Model (DEM). It was shown that the results were improved due mainly to the use of the image, for a detailed estimation of management (C) and support practice (P) factors with advanced image analysis and expertise, such as special modification algorithms, visual photo-interpretation and object-oriented analysis.
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