Google Earth Engine과 Sentinel-2 위성자료를 이용한 러시아 노릴스크 지역의 기름 유출 모니터링 = Oil Spill Monitoring in Norilsk, Russia Using Google Earth Engine and Sentinel-2 Data

다국어 초록 (Multilingual Abstract)

Oilspill accidents can cause various environmental issues,so it isimportant to quickly assessthe extent and changes in the area and location of the spilled oil. In the case of oil spill detection usingsatellite imagery, it is possible to detect a wide range of oilspill areas by utilizing the information collectedfrom various sensors equipped on the satellite. Previous studies have analyzed the reflectance of oil atspecific wavelengths and have developed an oil spill index using bands within the specific wavelengthranges. When analyzing multiple images before and after an oilspill for monitoring purposes, a significantamount of time and computing resources are consumed due to the large volume of data. By utilizingGoogle Earth Engine, which allows for the analysis of large volumes of satellite imagery through a webbrowser, it is possible to efficiently detect oil spills. In this study, we evaluated the applicability of fourtypes of oilspill indicesin the area of variousland cover using Sentinel-2 MultiSpectral Instrument dataand the cloud-based Google Earth Engine platform. We assessed the separability of oil spill areas bycomparing the index valuesfor different land covers. The results of thisstudy demonstrated the efficientutilization of Google Earth Engine in oil spill detection research and indicated that the use of oil spillindex B ((B3+B4)/B2) and oilspill index C (R: B3/B2, G: (B3+B4)/B2, B: (B6+B7)/B5) can contributeto effective oil spill monitoring in other regions with complex land covers.

참고문헌 (Reference)

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