文章基本信息

标题：Analysis of Landslide Disaster Impact Identification Using Unmanned Aerial Vehicle (UAV) and Geographic Information System (GIS) (Case Study: Ngesrep Sub District, Semarang City)
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作者：Yudo Prasetyo ; Nurhadi Bashit ; Reyhan Azeriansyah 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2018
卷号：159
DOI：10.1051/matecconf/201815901031
语种：English
出版社：EDP Sciences
摘要：Landslide is a natural disaster that commonly happens in Indonesia, especially in Region of Semarang that geologically has hilly topography. In Semarang city, there are 22 Sub Districts classified as landslide potential areas, which one of them is Sub District Ngesrep, based on to BPBD Semarang. The disaster of landslides can cause human injuries and loss in infrastructure, life, and assets. Disaster management requires identifying for the impact of landslide disaster at a location. One of the methods to identifying the impact of landslide disaster uses UAV technology. UAV technology can be used to collect, map, extract information of landslide and build Digital Model in surface or elevation based on overlapping imageries. Elevation data from UAV are combined with data of rainfall, land cover and geological which will produce the map of the potential landslide disaster. The map of the potential landslide disaster is combined with the result of land cover digitation to determine the impact of landslide disaster.
关键词：enDigital ModelLand CoverLandslideUAV