Application of remote sensing and GIS in mapping the potential of forest fire risk

Fires, in the forests and parks become causative to fall away to natural resources largeness of locale sector Kohgiluyeh and Boyer-Ahmad forests. The purpose of this research is, Forest fire risk zone mapping using utilization from of topography criteria and sub criteria (slope, distance from the river, height, direction of inclination), Physical (type of vegetation, vegetation density, soil moisture), human (distance from roads, distance from the village), and climate (average annual temperature, precipitation, relative humidity, and windiness direction), that criterions connection became distinctive relationship between criteria Fuzzy DEMATEL technique. Network analysis process, was used to weighting all parameters in Super Decision software. by fuzzy logic method, maps is fuzzed, and in the GIS environment getting Forest fire risk zone final mapping. results of this study expressing that among of the criteria, was the topographic criteria (0.423) and the between sub-criteria's t slope map is high weight and human criteria, biological and climatic getting from right to left value of%0.257, %0.194 and%0.124. the percentage area classification mapping forest fire potential by Boolean operator for is in series, PRODUCT PROCESSOR value of 5%, AND 35.68%, Gamma 34.82%, and SUM 34.84%. Too model FIRE RISK using images Landsat 8, digital elevation model, slope and windiness direction provide for the region. Fire classification map was prepared using fire point data for 4 years (93-96).Comparing its results with the results of the FUZZY ANP model and FIRE RISK indicates a high degree of compliance in areas with high fire risk.