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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.38 no.6 pt.3, 2022년, pp.1861 - 1869
김서연 (부경대학교 지오메틱연구소) , 윤유정 (부경대학교 지구환경시스템과학부 공간정보시스템공학전공) , 정예민 (부경대학교 지오메틱연구소) , 권춘근 (국립산림과학원 산불.산사태연구과) , 서경원 (국립산림과학원 산불.산사태연구과) , 이양원 (부경대학교 지구환경시스템과학부 공간정보시스템공학전공)
Recent climate change can increase the frequency and damage of wildfires worldwide. It can also lead to the deterioration of the forest ecosystem and increase casualties and economic loss. Satellite-based indices for forest damage can facilitate an objective and rapid examination of burned areas and...
Key, C.H. and N.C. Benson, 2005. Landscape assessment: remote sensing of severity, the normalized burn ratio and ground measure of severity, the composite burn index, FIREMON: Fire effects monitoring and inventory system, U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, Ogden, UT, USA.
Lee, S.J., K.J. Kim, Y.H. Kim, J.W. Kim, and Y.W. Lee, 2017. Development of FBI (Fire Burn Index) for Sentinel-2 images and an experiment for detection of burned areas in Korea, Journal of the Association of Korean Photo-Geographers, 27(4): 187-202 (in Korean with English abstract).
Otsu, N., 1979. A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man, and Cybernetics, 9(1): 62-66. https://doi.org/10.1109/TSMC.1979.4310076
Park, S.W., S.J. Lee, C.Y. Chung, S.R. Chung, I. Shin, W.C. Jung, H.S. Mo, S.I. Kim, and Y.W. Lee, 2019. Satellite-based forest withering index for detection of fire burn area: Its development and application to 2019 Kangwon wildfires, Korean Journal of Remote Sensing, 35(2): 343-346 (in Korean with English abstract). https://doi.org/10.7780/kjrs.2019.35.2.13
Roy, D.P., H. Huang, L. Boschetti, L. Giglio, L. Yan, H.H. Zhang, and Z. Li, 2019. Landsat-8 and Sentinel-2 burned area mapping-A combined sensor multi-temporal change detection approach, Remote Sensing of Environment, 231: 111254. https://doi.org/10.1016/j.rse.2019.111254
United Nations, 2022. Normalized Burn Ratio (NBR), https://un-spider.org/advisory-support/recommendedpractices/recommended-practice-burn-severity/in-detail/normalized-burn-ratio, Accessed on Dec. 1, 2022.
Won, M.S., K.S. Koo, and M.B. Lee, 2007. A quantitative analysis of severity classification and burn severity for the large forest fire areas using normalized burn ratio of Landsat imagery, Journal of the Korean Association of Geographic Information Studies, 10(3): 80-92 (in Korean with English abstract).
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