IJERPH, Vol. 17, Pages 7863: Assessment of Landslide Susceptibility Based on Multiresolution Image Segmentation and Geological Factor Ratings

IJERPH, Vol. 17, Pages 7863: Assessment of Landslide Susceptibility Based on Multiresolution Image Segmentation and Geological Factor Ratings International Journal of Environmental Research and Public Health doi: 10.3390/ijerph17217863 Authors: GongHao Duan JunChi Zhang Shuiping Zhang Evaluating the susceptibility of regional landslides is one of the core steps in spatial landslide prediction. Starting from multiresolution image segmentation and object-oriented classification theory, this paper uses the four parameters of entropy, energy, correlation, and contrast from remote-sensing images in the Zigui–Badong section of Three Gorges Reservoir as image texture factors; the original image data for the study area were divided into 2279 objects after segmentation. According to the various indicators of the existing historical landslide database in the Three Gorges Reservoir area, combined with the classification processing steps for different types of multistructured data, the relevant geological evaluation factors, including the slope gradient, slope structure, and engineering rock group, were rated based on expert experience. From the perspective of the object-oriented segmentation of multiresolution images and geological factor rating classification, the C5.0 decision tree susceptibility classification model was constructed for the prediction of four types of landslide susceptibility units in the Zigui–Badong section. The mapping result...
Source: International Journal of Environmental Research and Public Health - Category: Environmental Health Authors: Tags: Article Source Type: research