Research Papers

Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model

[+] Author Affiliations
Biswajeet Pradhan

Institute for Advanced Technology, University Putra Malaysia, Selangor, Serdang, Selangor Darul Ehsan 43400 Malaysia

Sarol Lee

Geoscience Information Center, Korea Institute of Geoscience and Mineral Resources (KIGAM), 30, Kajung-Dong, Yusung-Gu, Taejon, Korea,, Daeujon, Republic of Korea

Shattri Mansor

Institute for Advanced Technology, University Putra Malaysia, Selangor, Serdang, Selangor Darul Ehsan 43400 Malaysia

Manfred Buchroithner

Institute of Cartography, Dresden University of Technology, Dreseden, 01062 Germany

Normalina Jamaluddin

Institute for Advanced Technology, University Putra Malaysia, Selangor, Serdang, Selangor Darul Ehsan 43400 Malaysia

Zailani Khujaimah

Institute for Advanced Technology (ITMA), University Putra Malaysia, Serdang, Serdang, Selangor 43400 Malaysia

J. Appl. Remote Sens. 2(1), 023542 (October 24, 2008). doi:10.1117/1.3026536
History: Received October 3, 2007; Revised May 5, 2008; Accepted October 16, 2008; October 24, 2008
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Abstract

This paper deals with landslide hazard analysis using Geographic Information System (GIS) and remote sensing data for Cameron Highland, Malaysia. Landslide locations were identified in the study area from interpretation of aerial photographs and field surveys. Topographical/geological data and satellite images were collected and processed using GIS and image processing tools. There are ten landslide inducing parameters which are considered for the landslide hazards. These parameters are topographic slope, aspect, curvature and distance from drainage, all derived from the topographic database; geology and distance from lineament, derived from the geologic database; landuse from Landsat satellite images; soil from the soil database; precipitation amount, derived from the rainfall database; and the vegetation index value from SPOT satellite images. Landslide hazard was analyzed using landslide-occurrence factors employing the logistic regression model. The results of the analysis were verified using the landslide location data and compared with logistic regression model. The accuracy of hazard map observed was 85.73%. The qualitative landslide hazard analysis was carried out using the logistic regression model by doing map overlay analysis in GIS environment. This information could be used to estimate the risk to population, property and existing infrastructure like transportation network.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Biswajeet Pradhan ; Sarol Lee ; Shattri Mansor ; Manfred Buchroithner ; Normalina Jamaluddin, et al.
"Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model", J. Appl. Remote Sens. 2(1), 023542 (October 24, 2008). ; http://dx.doi.org/10.1117/1.3026536


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