spatial forecast of landslides in three gorges based on spatial data mining的山体滑坡空间预测三峡基于空间数据挖掘.pdf

Sensors 2009, 9, 2035-2061; doi:10.3390/ OPEN ACCESS sensors ISSN 1424-8220 /journal/sensors Article Spatial Forecast of Landslides in Three Gorges Based On Spatial Data Mining Xianmin Wang * and Ruiqing Niu Institute of Geophysics and Geomatics, China University of Geosciences / No. 388 Lumo Road, Wuhan, P.R. China; E-mail: rqniu@163.com (R.N.) * Author to whom correspondence should be addressed; E-Mail: wangxianmin781029@; Tel.: +86-027 Fax: 86-27 Received: 17 December 2008; in revised form: 25 February 2009 / Accepted: 26 February 2009 / Published: 18 March 2009 Abstract: The Three Gorges is a region with a very high landslide distribution density and a concentrated population. In Three Gorges there are often landslide disasters, and the potential risk of landslides is tremendous. In this paper, focusing on Three Gorges, which has a complicated landform, spatial forecasting of landslides is studied by establishing 20 forecast factors (spectra, texture, vegetation coverage, water level of reservoir, slope structure, engineering rock group, elevation, slope, aspect, etc). China-Brazil Earth Resources Satellite (Cbers) images were adopted based on C4.5 decision tree to mine spatial forecast landslide criteria in Guojiaba Town (Zhigui County) in Three Gorges and based on this knowledge, perform intelligent spatial landslide forecasts for Guojiaba Town. All landslides lie in the dangerous and unstable regions