Application of satellite images and fuzzy set theory in landslide hazard mapping in Central Zab basin

Abstract

Landslides are one kind of slopes processes have been take place in some area at worldwide and Iran every year, and they are associated with damaged, many people are harmed and losses their properties. The aim of this research landslide hazard assessment in central zab basin in the southwest mountainsides of West-Azerbaijan province, Iran by using information layers and effective factors in landslide hazard such us: slope, aspect, litho logy, land use, distance to drainage, distance to road, distance to fault and precipitation using fuzzy set theory, images satellite from Landsat ETM + sensor in 2009 and PAN sensor with 5.6 meters in 2010 from IRS-1D satellite, SPOT 5 satellite images in 2008, and GIS. The classification was done with histogram trend changes and available classifications. Weighting variables classes were determined between 0–1 (profusion proportion). Fuzzification each one of effective factors using IDRISI software terminated and after was assigned type and shape membership function. In this research, used J-shape membership function and gamma fuzzy operator to obtain landslide hazard susceptibility. Different maps of gamma fuzzy operator values 0.8 and 0.9 to make ready for study area. Obtained maps accuracy was evaluated with use of quality sum index (QS). Models evaluation results were showed 0.9 operator in gamma fuzzy model had best accuracy in making landslide susceptibility mapping in study area.