GIS-Based Land Suitability Classification for Wheat Cultivation Using Fuzzy Set Model

In terms of food safety, it is important to use the lands correctly in agricultural production. this study, potential crop suitability classes for wheat cultivation were created by using fuzzy model and GIS together. Spatial spectral factors considered as inputs separated four main groups, such soil (drainage, depth, texture, CaCO3, stoniness, pH, organic matter, salinity, ESP), topography (slope), water availability (irrigation) vegetation indices (NDVI). Criterion maps standardized with membership model. Analytical Hierarchy Process was used determine weights factors. The change between years study area determined NDVI values obtained from Landsat satellite images. addition, effect temporal difference on land evaluated. Land index environment weighted linear combination method divided into classes. results Fuzzy showed 9.7% (805 ha) highly suitable wheat, 46.5% (3868 medium suitable, 27.6% (2297 marginally 16.2% (1350 unsuitable. According these classes, are areas that should be evaluated primarily integration can effectively identify priority sustainable management.