Improving Autologistic Regression Method in the Research on the Application of Landslide Sensitivity Evaluation
详细信息
- 责任者：Xia Tian (State Key Laboratory for Geo-Hazard Prevention and Geo-Environment Protection ; Chengdu University of Technology ; Chengdu 610059 ; China) ; Chang Ming
- 刊名：Computing Techniques for Geophysical and Geochemical Exploration
- 出版年：2013
- 卷期：35(2)
- 关键词：滑坡 ; landslides ; 遥感 ; remote sensing ; 四川 ; Sichuan Province
- 页码：p.185-188
- 图表：illus., 4 tables, 15 refs.
- 分类号：1600
- issnNo：ISSN1001-1749
- isbnNo：CN51-1242/P
摘要
This article chooses Beichuan county and the surrounding area for research area with finishing landslides distribution map by remote sensing interpretation and field investigation.Firstly,six evaluation factors were selected,including slop,aspect,elevation,curvature,river system influence are,fault influence,for landslide sensitivity evaluation by an improving autologistic regression model in ArcGIS platform.This paper also completes the landslide susceptibility and Statistical analysis of possible appearance of the current landslides.The results shows the sensitivity of the susceptibility is reasonable.
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