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http://dx.doi.org/10.7780/kjrs.2020.36.6.2.6

Mapping of Post-Wildfire Burned Area Using KOMPSAT-3A and Sentinel-2 Imagery: The Case of Sokcho Wildfire, Korea  

Nur, Arip Syaripudin (Department of Smart Regional Innovation, Kangwon National University)
Park, Sungjae (Department of Smart Regional Innovation, Kangwon National University)
Lee, Kwang-Jae (Satellite Operation & Application Center, Korea Aerospace Research Institute)
Moon, Jiyoon (Satellite Operation & Application Center, Korea Aerospace Research Institute)
Lee, Chang-Wook (Division of Science Education, Kangwon National University)
Publication Information
Korean Journal of Remote Sensing / v.36, no.6_2, 2020 , pp. 1551-1565 More about this Journal
Abstract
On April 4, 2019, a forest fire started in Goseong County and lasted for three days, burning the neighboring areas of Sokcho. The strong winds moved the blaze from one region to another region and declared the worst wildfire in South Korea in years. More than 1,880 facilities, including 400 homes, were burnt down. The fire burned a total area of 529 hectares (1,307 acres), which involved 13,000 rescuers and 16,500 military troops to control the fire occurrence. Thousands of people were evacuated, and two people are dead. This study generated post-wildfire maps to provide necessary data for evacuation and mitigation planning to respond to this destructive wildfire, also prevent further damage and restore the area affected by the wildfire. This study used KOMPSAT-3A and Sentinel-2 imagery to map the post-wildfire condition. The SVM showed higher accuracy (overall accuracy 95.29%) compared with ANN (overall accuracy of 94.61%) for the KOMPSAT-3A. Moreover, for Sentinel-2, the SVM attained a higher accuracy (overall accuracy of 91.52%) than the ANN algorithm (overall accuracy 90.11%). In total, four post-wildfire burned area maps were generated; these results can be used to assess the area affected by the Sokcho wildfire and wildfire mitigation planning in the future.
Keywords
Wildfire; KOMPSAT-3A; ANN; SVM; and Sentinel-2;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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