Utilization of Remote Sensing Data and Geographic Information Systems in Disaster Mitigation with ArcGIS Software
Keywords:
Remote Sensing, Geographic Information Systems (GIS), Disaster mitigationAbstract
The aim of this research is to map the social and physical vulnerability to landslide disasters in Tigo Lurah Sub-district using Remote Sensing and Geographic Information Systems (GIS) technology. In this study, primary data was obtained through image interpretation to understand the landforms, while secondary data was obtained from the Tigo Lurah Sub-district BPS (Central Bureau of Statistics) in 2020 and Village Administration Shapefile. Through mapping, four social vulnerability classes were identified, with Batu Bajanjang village falling under the very high vulnerability class and Garabak village in the high vulnerability class. This research provides crucial information for disaster mitigation and response planning to landslides in the area. Villages with high social vulnerability, such as Batu Bajanjang and Garabak, require specific measures to protect the communities from disaster risks. Furthermore, this study also mapped the physical vulnerability of the affected areas, with Batu Bajanjang village showing a very high level of physical vulnerability. This emphasizes the urgency of mitigation and protection efforts against landslides in the area. However, villages with low physical vulnerability have adequate facilities. Nonetheless, prevention and monitoring measures are still needed to maintain the level of physical vulnerability throughout the sub-district. The results of this research are expected to serve as a guide for local governments and relevant institutions in formulating appropriate and sustainable disaster mitigation strategies.
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