Affiliation:
1. Karadeniz Technical University
2. Artvin Coruh University
Abstract
Abstract
This study aims to examine current landslide areas, improve the landslide inventory map (LIM) and identify new unreported landslide areas with the help of SNAP-StaMPS/MTI integration. As a result of the analysis, it was determined that the PSI points in the region had velocity values between -19 mm/year and +20 mm/year. Statistical analyses of the PSI points falling into the landslide areas were revealed by overlaying the PSI points with the existing landslide inventory map produced. There are a total of 3653 PSI points falling into landslide areas. In addition, the surface model was produced with the help of kriging interpolation using the position and velocity information of the PSI points. Eight new landslide areas with a total of 832 hectares have been identified. In addition, these new landslide areas were examined in terms of slope degree and soil groups by overlapping with land use capability maps. As a result of the examination, it was observed that all new landslide areas were located on landslide-prone areas. In this way, using the methodology specified in this study, SAR images and existing landslide areas have been updated in a low-cost, wide area and accurately.
Publisher
Research Square Platform LLC
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