Universiti Teknologi Malaysia Institutional Repository

Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR

Yusoff, H. H. M. and Razak, K. A. and Yuen, F. and Harun, A. and Talib, J. and Mohamad, Z. and Ramli, Z. and Razab, R. A. (2016) Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR. In: 8th IGRSM International Conference and Exhibition on Geospatial and Remote Sensing, IGRSM 2016, 13 April 2016 through 14 April 2016, Kuala Lumpur; Malaysia.

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Earthquake is a common natural disaster in active tectonic regions. The disaster can induce cascading disasters such as debris flow, mudflow and reactivated old landslides. M 6.0 Ranau earthquake dated on June 05, 2015 coupling with intense and prolonged rainfall caused several mass movements such as debris flow, deep-seated and shallow landslides in Mesilou, Sabah. This study aims at providing a better insight into the use of advanced LiDAR mapping technology for recognizing landslide induced by earthquakes particularly in a vegetated terrain, assessing post event hazard and analyzing its distribution for hazard zonation. We developed the landslide inventory using LiDAR-derived visual analysis method and validated in the field. A landslide inventory map improved with the support of LiDAR derivative data. Finally, landslide inventory was analysed by emphasizing its distribution and density in such a way that it provides clues of risky zone as a result of debris flow. We recommend that mitigation action and risk reduction should be taken place at a transport zone of the channel compared to other zones. This study indicates that modern airborne LiDAR can be a good complementary tool for improving landslide inventory in a complex environment, and an effective tool for rapid regional hazard and risk assessment in the tropics.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Debris, Disasters, Earthquakes, Geophysics, Hazards, Mapping, Optical radar, Remote sensing, Risk assessment
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:73177
Deposited By: Muhammad Atiff Mahussain
Deposited On:27 Nov 2017 09:02
Last Modified:27 Nov 2017 09:02

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