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A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia
- Hakim, Wahyu Luqmanul;
- Lee, Chang-Wook
WEB OF SCIENCE
13SCOPUS
29초록
Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.
키워드
- 제목
- A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia
- 저자
- Hakim, Wahyu Luqmanul; Lee, Chang-Wook
- 발행일
- 2020-12
- 유형
- Review
- 저널명
- 대한원격탐사학회지
- 권
- 36
- 호
- 6
- 페이지
- 1303 ~ 1322
- 언어
- ENG
- 출판사
- KOREAN SOC REMOTE SENSING
- 발행국가
- 대한민국
- 분량
- 20 페이지
- ISSN
- E 2287-9307
P 1225-6161