Spatial probabilistic approach on landslide susceptibility assessment from high resolution sensors derived parameters

Landslide occurrence depends on various interrelating factors which consequently initiate to massive mass of soil and rock debris that move downhill due to the gravity action. LiDAR has come with a progressive approach in mitigating landslide by permitting the formation of more accurate DEM compared...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2014-01, Vol.18 (1), p.12057-6
Main Authors: Aman, S N A, Latif, Z Abd, Pradhan, B
Format: Article
Language:English
Subjects:
Airborne sensing
Construction
Discrete element method
Environmental factors
High resolution
Landslides
Landslides & mudslides
Lidar
Mathematical models
Parameters
Probabilistic methods
Probability theory
Remote sensing
Susceptibility
Topography
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Summary:Landslide occurrence depends on various interrelating factors which consequently initiate to massive mass of soil and rock debris that move downhill due to the gravity action. LiDAR has come with a progressive approach in mitigating landslide by permitting the formation of more accurate DEM compared to other active space borne and airborne remote sensing techniques. The objective of this research is to assess the susceptibility of landslide in Ulu Klang area by investigating the correlation between past landslide events with geo environmental factors. A high resolution LiDAR DEM was constructed to produce topographic attributes such as slope, curvature and aspect. These data were utilized to derive second deliverables of landslide parameters such as topographic wetness index (TWI), surface area ratio (SAR) and stream power index (SPI) as well as NDVI generated from IKONOS imagery. Subsequently, a probabilistic based frequency ratio model was applied to establish the spatial relationship between the landslide locations and each landslide related factor. Factor ratings were summed up to obtain Landslide Susceptibility Index (LSI) to construct the landslide susceptibility map.
ISSN:1755-1315
1755-1307
1755-1315
DOI:10.1088/1755-1315/18/1/012057