Landslide Potential Analysis Using Unmanned Aerial Vehicle in South Leato Village, Gorontalo City, Indonesia
2023
S. S. Eraku, A. P. Permana and M. N. Baruadi
Spatial data technology using unmanned aerial vehicle (UAV) is one of the aerial imaging technologies used to produce detailed data. However, its utilization for mapping, especially disaster mapping needs an in-depth study. The research site is located within 00-”00’29°51’31°00” N and 12327’5°-123”00’3°” E that covers an area of 2,531 Ha, which consists of 1,745 Ha land and 786 Ha water areas. Administratively, the research site is in South Leato Village of Dumbo Raya sub-district of Gorontalo city with a total area of 41,9 Ha. This study is aimed at assessing the landslide by creating a landslide zonation map and finding out the landslide potential area by using the UAV. This research employs field surveys by using drones and Geographic Information System (GIS) analysis. It is found that the parameters that influence landslides are lithology, rainfall, slope inclination, lineament density, and land use. The landslide vulnerability analysis reveals three levels of vulnerability in this site; low, medium, and high vulnerability, in which, 19 Ha is classified as low vulnerability area, 9.5 Ha is classified as medium vulnerable, and 13.5 Ha is classified as highly vulnerable area.
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