Validation of Logistic Regression Models for Landslide Susceptibility Maps

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原文链接

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外文摘要：A wide range of numerical models and tools have been developed over the last decades to support the decision making process in environmental applications， ranging from physical models to a variety of statistically-based methods。 In this study， a landslide susceptibility map of a part of Three Gorges Reservoir region of China was produced， employing binary logistic regression analyses。 The available information includes the digital elevation model of the region， geological map and different GIS layers including land cover data obtained from satellite imagery。 The landslides were observed and documented during the field studies。 The validation analysis is exploited to investigate the quality of mapping。

外文关键词：

digital elevation modelsgeographic information systemsgeomorphologygeophysics computingstatistical analysisterrain mappingChinaThree Gorges Reservoir regionbinary logistic regression analysesdecision making processdigital elevation modelenvironmental applicationsgeological mapland cover datalandslide susceptibility mapslogistic regression modelsnumerical modelssatellite imagerystatistically-based methodsBinary logistic regressionGISLandslide susceptibilityValidation

作者：

S.B. Bai、J. Wang、A. Pozdnoukhov、M. Kanevski

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作者单位：

Nat. Educ. Adm. Key Lab. of Virtual Geographic Environments, Nanjing Normal Univ., Nanjing, China

会议名称：

WRI World Congress on Computer Science and Information Engineering

会议地点：

Los Angeles, CA(US)

会议母体文献：

Computer Science and Information Engineering

页码：

355-358

出版时间：

2009

DOI：

10.1109/CSIE.2009.1019