The most common empirical erosion prediction models, integrating with RS and GIS, are Revised Universal Soil Sunitinib clinical trial Loss Equation (RUSLE), The Water Erosion Prediction Project (WEPP), and COoRdination of INformation on the http://www.selleckchem.com/products/Enzastaurin.html Environment (CORINE), which can be used for erosion risk mapping. The RUSLE was developed to estimate the annual soil loss per unit area based on erosion factors Inhibitors,Modulators,Libraries including soil erodibility, topography, rainfall, and vegetation cover [21]. In the WEPP model, sediment yield and erosion rates were estimated for multiple time periods based on specific erosion factors [22].To determine the erosion risks and qualities of the lands in the countries of European Union (EU), CORINE model was developed based on Universal Soil Loss Equation (USLE) [23] which is well-known methodology in soil erosion prediction studies.

In CORINE model, actual soil erosion risk is determined by combining two parameters Inhibitors,Modulators,Libraries including potential soil erosion risk data and vegetation cover Inhibitors,Modulators,Libraries Inhibitors,Modulators,Libraries data. The potential soil erosion risk is calculated as a function of soil erodibility, erosivity, and topography. The vegetation cover data is very important parameter in erosion models since intensity of vegetation cover significantly affects erosion rates [6, 24-25]. Using high-resolution satellite imagery, image classification techniques have been used to generate accurate and reliable land use/cover data [9].

According to Zhu, 2001 [26] and Abrams, (2003) [27] accurate and low-cost land cover mapping can be provided by using the Advanced Inhibitors,Modulators,Libraries Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images with high spatial (15 m �� 15 m) and spectral (14 bands) resolution.

To accelerate future collaboration in watershed management between Inhibitors,Modulators,Libraries Turkey and EU, generating Inhibitors,Modulators,Libraries soil erosion risk maps based on the methodology used in CORINE model is crucial. This study uses RS and GIS technologies to develop soil erosion risk mapping Inhibitors,Modulators,Libraries for the Kartalkaya Dam Watershed in Kahramanmaras, Turkey, based on the CORINE model methodology. A supervised classification method was applied on ASTER imagery to classify land use/cover types. The input files for the other erosion factors (i.e. topography, Carfilzomib soil types, and climate) were generated as GIS data layers and integrated into the CORINE model to produce erosion risk maps.

2.?Material and Methods2.1.

Study AreaThe study area is located in the eastern Mediterranean region of Turkey, about 45 km southeast of the city of Kahramanmaras (Figure 1). The study area covers approximately 88100 ha of land with an elevation of 700 to 1850 m and slopes of 0 to 80 %. The land use/cover Brefeldin_A of selleck inhibitor the area contains agriculture, forest, rangeland, bare rock, water bodies, and residential areas. Average annual precipitation and temperature are 730 mm sellekchem and 17.6 ��C, respectively [28]. The highly erosive storms occur during fall and spring seasons.