UAV based multi-spectral imaging system for mapping landslide risk area along Jeli-Gerik highway, Jeli, Kelantan

WS Udin, NAS Norazami, N Sulaiman… - 2019 IEEE 15th …, 2019 - ieeexplore.ieee.org
WS Udin, NAS Norazami, N Sulaiman, NAC Zaudin, S Ma'ail, ANM Nor
2019 IEEE 15th International Colloquium on Signal Processing & Its …, 2019ieeexplore.ieee.org
Landslide is usually happening anywhere in Malaysia without any warning. Most of
landslide occurs at manmade slope and natural slopes according to their slope gradient.
Recently, Unmanned Aerial Vehicle (UAV) has been widely used for mapping purpose. The
first objective of this study is to assess capabilities of UAV in the production of digital
photogrammetric products based on landslide risk area along Jeli-Gerik highway. The study
area covered is along Jeli-Gerik highway and its surrounding area. Primary data of ground …
Landslide is usually happening anywhere in Malaysia without any warning. Most of landslide occurs at manmade slope and natural slopes according to their slope gradient. Recently, Unmanned Aerial Vehicle (UAV) has been widely used for mapping purpose. The first objective of this study is to assess capabilities of UAV in the production of digital photogrammetric products based on landslide risk area along Jeli-Gerik highway. The study area covered is along Jeli-Gerik highway and its surrounding area. Primary data of ground control points (GCP) and check points (CP) were established using real time kinematic technique of Global Positioning System (GPS). All the aerial photographs were processed using digital photogrammetric software and the output in the form of digital elevation model (DEM) and orthophoto were produced. The second objective is to produce landslide risk area map using UAV technology. The risk area map separates the landslide area into three groups which are Low Risk, Medium Risk and High Risk. The parameters that were used to generate the landslide risk area map are slope, aspect and elevation. GIS based Landslide Hazard Zonation models helps not only to map and monitor landslides but also to predict future slope failures. In addition, data collected by UAV can be used to produce accurate ground surface surveys. As conclusion, UAV system has potential use for large scale mapping and could be used by public work department in order to monitoring of landslide area with low cost, less manpower and faster. The ability to detect landslide scarps will lead to a better understanding of landslide mechanisms for the propose area, thus leading to an enhanced identification of the most likely failure sites within a landslide-prone area.
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