Abstract
This research is intended to map potential fires using GIS in forests in
Talesh, Gilan Province. Spatial data analysis methods were used for
zoning fire risk. First, a digital elevation model (DEM) model was
prepared using the ASTERsensor . Slope, aspect and mean sea level (MSL)
were also obtained by DEM. Then, maps of vegetation type and density
were classified in terms of susceptibility to fire by using GIS. The
roads, rural settlements and farmlands were mapped. Polygon to Raster
and Euclidian Distance were used to rasterize all information layers.
Fuzzy membership functions were used to value the parameters of the
study area in each layer within a 0 to 1 range, and the subclasses were
weighed in AHP model by Saaty valuation table and questionnaire. The use
of Dong model and AHP and fuzzy weighing methods for zoning fire risk
potentials showed that of the entire study area weighed by AHP method
there were zones: 4221.72 Ha very low risk, 10528367 Ha low risk,
13567.94 Ha medium risk, 1382.32 Ha high risk and 6702.43 Ha very high
risk, respectively. Therefore, risk zones in terms of surface area were
high, medium, low, very high and very low. In fuzzy weighing method,
very low, low, medium, high and very high risk zones were 6840.42 Ha,
6605.84 Ha, 12044.46 Ha, 15922.87 Ha, 15922.87 Ha, 7416.89Ha,
respectively, which high erosion classes were of the highest priority
and low erosion classes were of lowest priority.