Abstract
Podhale is a region in southern Poland, which is the northernmost part of the Central Carpathian Mountains. It is characterized by the presence of a large number of landslides that threaten the local infrastructure. In an article presents application of LiDAR data and geostatistical methods to assess landslides susceptibility map. Landslide inventory map were performed using LiDAR data and field work. The Weights of Evidence method was applied to assess landslides susceptibility map. Used factors for modeling: slope gradient, slope aspect, elevation, drainage density, faults density, lithology and curvature. All maps were subdivided into different classes. Then were converted to grid format in the ArcGIS 10.0. The conditional independence test was carried out to determine factors that are conditionally independent of each other with landslides. As a result, chi-square test for further GIS analysis used only five factors: slope gradient, slope aspect, elevation, drainage density and lithology. The final prediction results, it is concluded that the susceptibility map gives useful information both on present instability of the area and its possible future evolution in agreement with the morphological evolution of the area.
Highlights
Landslides are a very common geomorphic hazard with considerable economic and ecological consequences
Application of airborne laser scanning (ALS) to study the landslide was often discussed in the scientific literature, both in the world and in Poland
Weights of Evidence modeling for landslide susceptibility mapping, using the log-linear form of the Bayesian probability model, has been recently applied in geomorphologic risk assessments (Van Westen, 2002; Van Westen et al, 2003, 2006; Lee et al, 2002; Mrozek et al, 2004; Ranjan et al, 2008; Barbieri & Cambuli, 2009; Kamiński, 2012)
Summary
Landslides are a very common geomorphic hazard with considerable economic and ecological consequences. Podhale area which is located in the southern part of Poland is especially endangered by mass movements and was the by landslides (Bober, 1984), (Fig.1) They cause great material damage and pose a significant threat to the local infrastructure. The traditional method of landslides inventory is mainly based on analysis of relief topographic maps and field studies. In recent years, landslides inventory technique is used airborne laser scanning ALS (Airborne Laser Scanning) sometimes referred LIDAR (Light Detection and Ranking) It is a photogrammetric method, which, combined with field research brings fast and accurate information about the ranges of landslides, their activity and the relief inside. This method is extremely impressive to data management, simultaneous use, graphic and attribute crossing of these digital layers
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