Title :
Validation of Logistic Regression Models for Landslide Susceptibility Maps
Author :
Bai, S.B. ; Wang, J. ; Pozdnoukhov, A. ; Kanevski, M.
Author_Institution :
Nat. Educ. Adm. Key Lab. of Virtual Geographic Environments, Nanjing Normal Univ., Nanjing, China
fDate :
March 31 2009-April 2 2009
Abstract :
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.
Keywords :
digital elevation models; geographic information systems; geomorphology; geophysics computing; statistical analysis; terrain mapping; China; Three Gorges Reservoir region; binary logistic regression analyses; decision making process; digital elevation model; environmental applications; geographic information systems; geological map; land cover data; landslide susceptibility maps; logistic regression models; numerical models; satellite imagery; statistically-based methods; Decision making; Digital elevation models; Geographic Information Systems; Geology; Logistics; Numerical models; Regression analysis; Reservoirs; Satellites; Terrain factors; Binary logistic regression; GIS; Landslide susceptibility; Validation;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.1019
