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Proceedings Paper

GIS application on spatial landslide analysis using statistical based models
Author(s): Biswajeet Pradhan; Saro Lee; Manfred F. Buchroithner
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Paper Abstract

This paper presents the assessment results of spatially based probabilistic three models using Geoinformation Techniques (GIT) for landslide susceptibility analysis at Penang Island in Malaysia. Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and supported with field surveys. Maps of the topography, soil type, lineaments and land cover were constructed from the spatial data sets. There are ten landslide related factors were extracted from the spatial database and the frequency ratio, fuzzy logic, and bivariate logistic regression coefficients of each factor was computed. Finally, landslide susceptibility maps were drawn for study area using frequency ratios, fuzzy logic and bivariate logistic regression models. For verification, the results of the analyses were compared with actual landslide locations in study area. The verification results show that bivariate logistic regression model provides slightly higher prediction accuracy than the frequency ratio and fuzzy logic models.

Paper Details

Date Published: 7 October 2009
PDF: 11 pages
Proc. SPIE 7478, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX, 74781B (7 October 2009); doi: 10.1117/12.832297
Show Author Affiliations
Biswajeet Pradhan, Dresden Univ. of Technology (Germany)
Saro Lee, Korea Institute of Geoscience and Mineral Resources (Korea, Republic of)
Manfred F. Buchroithner, Dresden Univ. of Technology (Germany)

Published in SPIE Proceedings Vol. 7478:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IX
Ulrich Michel; Daniel L. Civco, Editor(s)

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