Sentinel-2 영상 기반의 FBI(Fire Burn Index) 개발 및 우리나라 산불피해지역 탐지 실험
Development of FBI(Fire Burn Index) for Sentinel-2 images and an experiment for detection of burned areas in Korea
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다운로드
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참고문헌
키워드
초록
산림과 재산 보호를 위하여 산불을 미연에 방지하는 것이 중요하지만, 부득이 발생한 산불에 대해서는 그 피해지역의 정확한 파악이 피해복구 계획수립에 있어 매우 중요하다. 위성원격탐사는 산불피해지역 탐지를 위한 효 과적인 방법으로 평가되고 있으며, Landsat 영상과 NBR(normalized burn ratio)를 이용한 많은 연구가 수행되었 다. 그러나 산불 전후 두 시기의 영상을 활용하는 Landsat-NBR 방법이 식물계절성(phenology)에 너무 민감하게 반응하는 문제를 극복하기 위하여, 본 연구에서는 2-3일의 재방문 주기를 가지는 Sentinel-2 단일 시기 영상만으로 산불피해지역을 탐지하는 새로운 기법을 개발하였다. 불탄 산림과 정상적인 산림의 분광특성에 대한 면밀히 분석을 거쳐 Red/Green 비와 NIR(near infrared) 반사도를 이용하여 개발한 FBI(Fire Burn Index)는 지역이나 계절에 구애받지 않고 우리나라에 적용가능함을 2017년 삼척과 강릉 산불의 사례를 통해 확인하였다.
Abstract
Prevention of wildfire is important to preserve forest and properties. With regard to inescapable wildfires, estimation of burned area is very important for building forest recovery strategies. Satellite remote sensing is an effective way for detection of burned areas, and many studies have employed Landsat images with NBR(normalized burn ratio) method. However, the Landsat-NBR approach has a phenological limitation because it requires two-period images before and after a wildfire. In order to overcome the drawback of Landsat-NBR approach, we developed a novel method for detection of fire-burned area using a single-period Sentinel-2 image with 2 or 3 day’s revisit. Through a sufficient examination of spectral characteristics of burned and healthy forests, we derived FBI(Fire Burn Index) using Red/Green ratio and NIR reflectance values. We made sure that the FBI was applicable irrespective of region and season through the wildfire cases in Samcheok and Gangneung, 2017.
참고문헌 (23)
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