Title | : | Identification of Area Prone to Multi Hazards using Remotely Sensed Data-Case in Lowland Area of Kulon Progo, Yogyakarta, Indonesia |
Author | : |
Dr. Djati Mardiatno, S.Si., M.Si. (1) Dr. Nurul Khakhim, M.Si. (2) Dr. Tri Kuntoro Priyambodo, M.Sc. (3) Dr. Barandi Sapta Widartono, S.Si., M.Si., M.Sc. (4) |
Date | : | 0 2016 |
Keyword | : | multi hazards,UAV,lowland area,landform,risk management multi hazards,UAV,lowland area,landform,risk management |
Abstract | : | This research was carried out in the lowland area of Kulon Progo Regency, Yogyakarta Special Region, Indonesia. It is aimed to identify several natural hazards potential by using Unmanned Aerial Vehicle (UAV) developed by “Kelompok Riset Dirgantara” (Aerospace Research Group) Universitas Gadjah Mada. Visual interpretation was conducted to analyze the landform characteristic related to the specific hazard. Descriptive analysis was carried out by using landform as analysis unit. It is assumed that different landform will reflect different hazard potential and each landform possibly has more than one hazard. Provisional results on image analysis show that lowland area in the research area can be distinguished in to several landforms. Based on the genetic, it can be classified to landform of marine origin and fluvial origin. From the shoreline to the hinterland, landforms can be differentiated such as beach, beach-ridge and swale complexes, alluvial plain, floodplain, and lagoon. Each landform potentially has multiple hazards, for instance earthquake, tsunami, flooding, marine erosion and strong wind. The level of multi hazards is varied for different landform. Further analysis is needed for determining level of risk to multi hazards, i.e. by including vulnerability and capacity factors. By doing so, the results can be used as a disaster risk management basis. |
Group of Knowledge | : | |
Level | : | Nasional |
Status | : |
Published
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No | Title | Action |
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1 |
Identification of Area Prone to Multi Hazards using Remotely_CEK.pdf
Document Type : Cek Similarity
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2 |
33_Identification of Area Prone to Multi-Gbg.pdf
Document Type : [PAK] Full Dokumen
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3 |
Cover_BuktiKorespondensi-IJJSS-Chiba-merged.pdf
Document Type : [PAK] Bukti Korespondensi Penulis
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4 |
Sertifikat Presenter IJJSS-Chiba 24112016.pdf
Document Type : [PAK] Sertifikat Seminar
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5 |
FULL-Identification of Area Prone to Multi Hazards using Remotely Sensed Data-Case.pdf
Document Type : [PAK] Full Dokumen
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