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 <?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /><o:p></o:p>

设为首页

收藏本站

网站地图 | English | 公务邮箱

远程访问

NSTL服务站

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

详细信息

责任者：Xu Gang (Key Laboratory of Neotectonic Movement & Geohazard ; Ministry of Land and Resources ; Institute of Geomechanics ; Chinese Academy of Geological Sciences ; Beijing 100081 ; China) ; Zheng Daxing
刊名：Geological Bulletin of China
出版年：2009
卷期：28(8)
关键词：遥感 ; remote sensing ; 滑坡 ; landslides ; 陕西 ; Shaanxi Province
页码：p.1047-1052
图表：6 illus., 2 tables, 28 refs.
分类号：1600
issnNo：ISSN1671-2552
isbnNo：CN11-4648/P

摘要

DEM and RS are important data and ways in terms of landslide geo-hazard study. Referring to 3-D visual principle of Google Earth for reference, the author superimposes DEM (the accuracy is 5 m) derived from IRS-P5 and high spatial resolution QuickBird (0.61 m) data on the digital globe and thus results in 3-D visual image to study fast extraction method of landslide environmental indicator parameters. The result shows 3-D 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 geo-hazards risk assessment, is objective, accurate and rapid.

地址：北京市海淀区学院路29号邮编：100083

电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700