CBS and remote sensing are used by multi criteria decision analysis method to determine the landslide sensitive areas of Malatya province

Remote Sensing (RS) techniques and Geographical Information Systems (GIS) based analysis methods have been established for landslide risk zones in Malatya. In the planning works to be carried out in the areas affected by landslides, sensitivity maps showing where landslides may occur can contribute significantly to reducing landslide losses. In the formation of sensitivity map, GIS-based Multi-Criteria Decision Analysis (GLCA) method was used with the Quantum-GIS 3.6 program, which is one of the GIS programs. The analysis of the layers / parameters (Slope, Bakı, Lithology, NDVI, Elevation, Topographical and Topographical Wetness Index) used in the study area with this method were performed. The relative significance of the parameters was determined by Analytic Hierarchy Method. Weighted Linear Merge method was used to gather the data. Criteria used in the study were sorted according to their degree of importance and they were divided into 5 different degrees with a very high, high, medium, low and very low landslide susceptibility map. According to the result map, the examination area; 10,09 % have very little, 19,00 % have a low, 37,9 % have a moderate, 21,47 % have a high and 11,76 % have a very high landslide susceptibility. With the help of the susceptibility map produced, it was determined the road routes that could be damaged or become unusable in the possible landslides. As a result of the findings; taking measures or producing alternative routes to these routes will significantly reduce future life and property losses.