1 results listed
Following the rapid development of remote sensing (RS) techniques which focused on the analysis of collected satellite images, in recent years both geographic information systems (GIS) and RS became two main branches that support each other and provide excellent solutions in many sectors. In this study, landslide susceptibility analysis was performed for Erzurum Uzundere District (840 km2) by using GIS and RS techniques. As in the world, landslides are one of the natural disasters that also interest turkey closely. Besides serious losses of lives and property, landslides have a negative effect on the use of farming areas by causing people to change settlements. In order to minimize these damages and unfavorable effects and to take necessary prevention, the determination of landslide-prone areas has of great importance. In the present study, Index of Entropy (IoE) method was applied in the landslide susceptibility map production. Landslide inventory information of the study area was collected by field studies and field observations, and lithology of each landslide was identified. In addition, the current digital elevation model, topography maps and national land cover classification system map of the study area were provided. Slope angle, slope aspect, elevation, lithology, land cover, drainage density, distance to roads, topographic wetness index (TWI) and distance to streams were used as a landslideconditioning factor in the determination of areas prone to landslide. The produced susceptibility map was divided the Uzundere district into 5 different classes: very high, high, medium, low and very low. Thanks to the results, the areas prone to damage in potential landslides were determined.
International Science and Engineering Application Symposium on Hazards
ISESH
Azimollah Aleshzadeh
E. Vural Yavuz