Determination of Land Suitability Classes By Using Integrated Geographic Information Systems With Multi-Criteria Decision Making Analysis

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Today, Multi-Criteria Decision Making (MCDM) approaches integrated with GIS provide the opportunity to reliably produce land suitability classes and maps. In this study, the process of land evaluation was performed by using GIS and MCDM integration to determine the agricultural potential for the area of the Konya Beşgözlerler K.O.P in approximately 5.140 ha by using the Linear Combination Technique (LCT) and the map of land suitability was produced. The factors of LCT model, are directly affect the cultivation of crops, chosen according to Hybird System for the classification of land use as physical (Depth, Slope, Grade, Drainage, Stony) and chemical (pH, EC, CaCO3, Organic Matter) soil properties and subclass scores of the factors were made values between 0 and 4 according to the degree of restriction in plant cultivation. Analytical Hierarchical Process (AHP), a multi-criteria decision approach, was used to determine the weight values for paired comparisons of selected criteria. LCT was determined that 106.5 hectares (2.07%) of land is classified as non-agricultural, 1250 ha (24.35%) as medium and 3778 ha (73.58%) as weak. It was determined that the depth, drainage conditions and stony had higher effect on the final score values of the land suitability classes. As a result of the study, it has been concluded that GIS-AHS integration is a powerful tool for modeling requiring complex alternative choices and is used as an alternative method in land evaluation studies with LCT model.

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Analytical Hierarchical Process , GIS , Konya , Land Evaluation , Linear Combination Technique

Journal Of The Faculty Of Agriculture, Suleyman Demirel University

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Journal Of The Faculty Of Agriculture, Suleyman Demirel University