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

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Yusoff, Habibah Hanan Mat^1 ; Razak, Khamarrul Azahari^1,2 ; Yuen, Florence^1 ; Harun, Afifi^3 ; Talib, Jasmi^4 ; Mohamad, Zakaria^5 ; Ramli, Zamri^6 ; Razab, Razain Abd^7

UTM RAZAK School of Engineering and Advanced Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur

54100, Malaysia^1

Disaster Preparedness and Prevention Center, Malaysia-Japan International Institute of Technology, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur

54100, Malaysia^2

Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, Malaysia^3

Faculty of Geosciences and Petroleum Engineering, Universiti Teknologi Petronas, Malaysia^4

Southeast Asia Disaster Prevention and Research Initiative (SEADPRI), Universiti Kebangsaan Malaysia, UKM Bangi, Selangor

43600, Malaysia^5

Technical Services Section, Minerals and Geoscience Department Malaysia, Ministry of Natural Resources and Environment, Malaysia^6

BUMITOUCHplmc Sdn. Bhd., Tower Block, Bangunan PERKIM Jalan Ipoh, Kuala Lumpur, Malaysia^7

关键词: Active tectonics;    Complementary tools;    Complex environments;    Earthquake-induced landslides;    Hazard and risk assessments;    Landslide inventories;    Natural disasters;    Shallow landslide;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012068/pdf
DOI  :  10.1088/1755-1315/37/1/012068

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.