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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Abstract
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) |
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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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