作者: Yulong Cui , Pengpeng Bao , Chong Xu , Siyuan Ma , Jun Zheng
DOI: 10.1007/S12145-020-00544-8
关键词: Physical geography 、 Slope angle 、 Geology 、 Hazard analysis 、 Hazard evaluation 、 Landslide 、 Epicenter 、 Training (meteorology) 、 Satellite image 、 Elevation
摘要: On September 6, 2018, an Mw 6.6 earthquake occurred in Hokkaido, Japan, triggering massive landslides. Based on the 0.3 m-resolution Pleiades-1 satellite image Google Earth platform, we constructed updated co-seismic landslide inventory for this event, which permitted to map 12,586 These slope failures are featured by a large number, wide spread, scales, and local dense distribution. Considering nine influence factors, i.e. elevation, angle, aspect, curvature, distance road, river, epicenter, lithology, topography, logistic regression model was applied carry out retrospective hazard assessment of earthquake-triggered landslides affected area, rationality such prediction verified real mapped. Results show that evaluation map is good agreement with actual The success rate 87.0% compared training samples, 86.5% testing respectively. useful complement existing maps helpful disaster prevention reduction reconstruction planning area.