The Quantification Method in the Estimation Model for Landslide Danger: a Case Study of Yongjia County

doi:10.6046/gtzyyg.2010.03.04

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Abstract

The quantification of factors for landslide is very complex. Under different circumstances, the contribution of the same factor to landslide may be quite different or even opposite. Based on an analysis of the specific landslide data obtained from Yongjia County, the authors put forward a quantification method for building Neural Network, which is based on the distribution of landslide samples. The results from several estimation models were compared with each other. It is proved that the quantification method advanced by the authors and the Neural Network model based on Supported Vector Machine are the best means. The correctness is up to 84.2%, which is satisfying. According to the estimation result, the quantification solution and the estimation model based on it are very useful.

Keywords RS GIS Grassland Dynamic changes

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	P 694

Issue Date: 20 September 2010

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ZHANG Chong, CHEN Xiao-Hua, ZOU Le-Jun, WU Wen-Yuan, SU Nan, KONG Fan-Li. The Quantification Method in the Estimation Model for Landslide Danger: a Case Study of Yongjia County[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(3): 16-20.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.03.04 OR https://www.gtzyyg.com/EN/Y2010/V22/I3/16

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