ACADSTAFF UGM
| Title | : | TOPOGRAPHIC DATA ACQUISITION IN TSUNAMI-PRONE COASTAL AREA USING UAV |
| Author | : |
Prof. Dr.rer.nat. Muh Aris Marfai, S.Si., M.Sc. (1) Prof. Dr. Sunarto, M.S. (2) Dr. Nurul Khakhim, M.Si. (3) Ahmad Cahyadi, S.Si., M.Sc. (4) FREDI SATYA CANDRA R (5) Hendy Fatchurohman, S.Si., M.Sc. (6) Yunus Ari Wibowo (7) |
| Date | : | 2017 |
| Keyword | : | Unmanned Aerial Vehicle, Tsunami, Kukup, Topographic Data Unmanned Aerial Vehicle, Tsunami, Kukup, Topographic Data |
| Abstract | : | The southern coastal area of Java Island is one of the nine seismic gaps prone to tsunamis. The entire coastline in one of the regencies, Gunungkidul, is exposed to the subduction zone in the Indian Ocean. Also, the growing tourism industries in the regency increase its vulnerability, which places most of its areas at high risk of tsunamis. The same case applies to Kukup, i.e., one of the most well-known beaches in Gunungkidul. Structurally shaped cliffs that surround it experience intensive wave erosion process, but it has very minimum access for evacuation routes. Since tsunami modeling is a very advanced analysis, it requires an accurate topographic data. Therefore, the research aimed to generate the topographic data of Kukup Beach as the baseline in tsunami risk reduction analysis and disaster management. It used aerial photograph data, which was acquired using Unmanned Aerial Vehicle (UAV). The results showed that the aerial photographs captured by drone had accurate elevation and spatial |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
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