Vol. 8, No. 1, 40-52, 2009

Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model
Ioannis Z. Gitas, Kostas Douros, Chara Minakou, George N. Silleos and Christos G. Karydas

Abstract
The aim of this work was to test a modified version of the Universal Soil Loss Equation (USLE) for assessing the risks of erosion in N. Chalkidiki, Greece. USLE estimates the severity of erosion, thus assisting the decision process in selecting erosion control measures. Although USLE has several limitations, it was selected because it is the simplest approach while remaining robust, and it partially solves the problem of data availability. Modifications referred to here concerned the estimation of factors C and k (representing land management and soil vulnerability, respectively). More specifically, the C-factor was estimated using multi-temporal NDVI layers derived from LANDSAT images, while the k-factor was estimated based on the geological map. All USLE factors were calculated as grid layers after processing the original data, then they were multiplied together (according to the USLE) in order to derive the final risk map for three different seasons. A scale of 1:100 000 was selected and the mapping unit was set at 1 ha. The results, assessed for their accuracy by experts, showed that the use of multi-temporal NDVI gave a better insight than a single date approach in understanding the erosion procedures in the study area and facilitated the comparison between seasons and areas.

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History
Submitted: 29 Aug 2008
Revised: 06 Mar 2009
Accepted: 13 Mar 2009
Published: 04 Apr 2009
Responsible editor: Bogdan Zagajewski

Citation
Gitas I Z, K Douros, C Minakou, G N Silleos & C G Karydas, 2009. Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model. EARSeL eProceedings, 8(1): 40-52

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EARSeL European Association of Remote Sensing Laboratories, Strasbourg, France

   
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BIS Library and Information System, Carl von Ossietzky University of Oldenburg

 

ISSN 1729-3782