UPM Institutional Repository

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


Citation

Pradhan, Biswajeet and Lee, Saro and Mansor, Shattri and Buchroithner, Manfred and Jamaluddin, Normalina and Khujaimah, Zailani (2008) Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model. Journal of Applied Remote Sensing, 2 (1). art. no. 023542. ISSN 1931-3195

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.


Download File

[img]
Preview
PDF (Abstract)
Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model.pdf

Download (36kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Institute of Advanced Technology
DOI Number: https://doi.org/10.1117/1.3026536
Publisher: Society of Photo-Optical Instrumentation Engineers
Keywords: GIS; Hazard; Landslide; Logistic regression; Remote sensing
Depositing User: Nabilah Mustapa
Date Deposited: 17 Sep 2015 06:20
Last Modified: 17 Sep 2015 06:20
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1117/1.3026536
URI: http://psasir.upm.edu.my/id/eprint/40342
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item