Recognition of Lithology and Its Use in Identification of Landslide-Prone Areas Using Remote Sensing Data: Fid-Bau Portal

Recognition of Lithology and Its Use in Identification of Landslide-Prone Areas Using Remote Sensing Data

Zeng, Zhongping / Wang, Huabin

Abstract Remote sensing data provide not only information about landslide characteristics, such as landslide locations, scarp shapes, but also the related environmental factors, such as lithology, tectonic structure and land cover, which have significance for landslide occurrence. This chapter aims to use remotely sensed data to extract lithology information, and to relate this to landslide incidence. A variety of digital image techniques were applied to remote sensing data, and several image lithostratigraphy units were delineated by the identification elements such as weathering manifestations, drainage patterns, weathering, erosion characteristics, and surface morphology. Landslide location was identified by image interpretation and from field survey data. Other landslide-related factors, such as altitude and slope, were derived from digital elevation models. A method of generalized likelihood ratio was then utilized to analyze the relationships between landslide occurrence and lithology factors. Based on these data, causal factors, contributing to landslide occurrence, have been combined into a binary logistic regression model, and landslide probabilities are then calculated cell by cell. The results state that the rate of regression model classification has successfully increased from 71.5 to 92.6% of the overall slopes after “lithostratigraphical unit” variable was added. The study shows that remote sensing data can provide a quantitative causative factor source for landslide hazard assessment.