Study on fast extraction of landslide environmental indicator parameters based on high-precision DEM and RS—a case study of Changleyuan super large-scale landslide in Jintai District, Baoji City, Shaanxi Province, China

DEM and RS are important data and ways in terms of landslide geo-hazard study. In recent years, along with the launching of high spatial resolution remote sensing satellites and high-precision radar, it is now possible to get timely high-precision DEM data, which leads to study of landslide geo-hazard transferring from 2 dimension to 3 dimension. Referring to 3D visual principle of Google Earth for reference, the author superimposes DEM (the accuracy is 5m) derived from IRS-P5 and high spatial resolution QuickBird (0.61m) data on the digital globe and thus results in 3D visual image to study fast extraction method of landslide environmental indicator parameters. The result shows 3D parameters of landslide environmental indicator can be extracted directly from image, and the method, which provides quantitative data for landslide geo-hazard evaluation and regional geological geo-hazards risk assessment, is objective, accurate and rapid.