Sentinel-2B 위성 영상을 활용한 산불 피해지역 식생 회복률에 관한 연구
A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas Using Sentinel-2B Satellite Images
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
산불에 대한 피해액과 피해 면적은 전 세계적으로 커지고 있지만 피해 후 복원 방법에 따른 효과연구는 부족한 현실이다. 본 연구는 Sentinel-2B 위성 영상과 임상도를 활용하여 산불 피해 면적을 산출하고, 임상에 따른 산불 피해 강도를 분석하였다. 또한, 다양한 파장대를 활용하여 식생지수를 계산하고, 이를 토대로 복원 방법에 따른 식생 회복력을 –1.0에서 1.0 범위 내에서 정량적으로 분석하였다. 그 결과 침엽수림 비율이 높은 지역에서 높은 강도의 산불 피해가 발생하였고, 상대적으로 혼효림과 활엽수림의 비율이 높은 지역에서 낮은 강도의 산불 피해 경향을 보였다. 산불 발생 이후 인공림과 천연림에서의 식생 회복률을 분석한 결과, 인공림은 산불 발생 이전 대비 약 92%, 천연림은 약 101% 식생을 회복하였으며 인공림보다 천연림에서 식생 회복력이 우수한 것을 확인할 수 있었다. 본 연구는 임상에 따른 산불 피해 강도를 분석하고 복원 방법에 따른 식생 회복력을 평가함으로써 산불 피해를 줄이기 위한 수목 선정과 피해 대상지를 효율적으로 복원함에 있어 기초자료를 제공하는 데 의의가 있다.
Abstract
The amount of damage and the area of damage to forest fires are increasing globally, and the effectiveness analysis of the restoration method after the damage is performed insufficient. This study calculated the area of forest fire damage was calculated using Sentinel-2B satellite images and stack map and the intensity of forest fire damage is analyzed according to the forest type. In addition, the vegetation index was calculated using various wavelength bands. Based on the results, the vegetation resilience by the restoration method was quantitatively. As results, areas with a high proportion of coniferous forests suffered high intensity forest fire damage, and areas with a relatively high ratio of mixed and broad-leaved forests tended to have low forest fire damage. Also, artificial forests showed a recovery of about 92.7% compared to before forest fires and natural forests showed a recovery of about 99.6% from the result of analyzing vegetation resilience in artificial and natural forests after forest fires. Accordingly, it was confirmed that natural forests after forest fire damage had superior vegetation resilience compared to artificial forests. It can be proposed that this study is meaningful in providing important information for efficiently restoring the affected target site and the selection criteria for trees to reduce forest fire damage through the evaluation of vegetation resilience by the intensity of forest fire damage and restoration methods.
참고문헌 (33)
- Brewer CK, "Classifying and mapping wildfire severity", Photogrammetric Engineering & Remote Sensing, 71(11), pp.1311~1320 (2005)
- 조상호, "식생 활력도를 고려한 드론 기반의 식생지수 분석", 한국지리정보학회지, 23(2), pp.21~35 (2020), 한국지리정보학회[DOI]
- 최광용, "현재와 미래 우리나라 겨울철 강수형태 변화", 대한지리학회지, 43(1), pp.1~19 (2008), 대한지리학회
- Cocke AE, "Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data", International Journal of Wildland Fire, 14(2), pp.189~198 (2005)
- DeBano LF, "Fire’s effects on ecosystems" (1998), John Wiley and Sons
- Doerr SH, "Effects of differing wildfire severities on soil wettability and implications for hydrological response", Journal of Hydrology, 319(1-4), pp.295~311 (2006)
- Fassnacht FE, "Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective", International Journal of Applied Earth Observation and Geoinformation, pp.95~ (2021)
- Genevieve R, "Optimization of soil-adjusted vegetation indices", Remote Sensing of Environment, 55, pp.95~107 (1996)[DOI]
- Key CH, "FIREMON: Fire effects monitoring and inventory system", 164~ (2006)
- Kim DH, "A study on fire investigation and calorie analysis of main trees in Go-sung wildfire land", Korean Institute of Fire Science and Engineering, 13(1), pp.12~334 (1999)
- Kim YH, "A Study on the Recovery Rate of Vegetation in Forest Fire Damage Areas using Multi-Spectral data", Master, pp.2022
- Korea Forest Service, "Forest Fire Statistics", 154~ (2022)
- Korea Forest Service, "Statistical yearbook of Forestry", 160~ (2023)
- Kunert N, "Are mixed tropical tree plantations more resistant to drought than monocultures?", Forests, 6(6), pp.2029~2046 (2015)
- Kurnaz B, "Forest fire area detection by using Landsat-8 and Sentinel-2satellite" (2020), A case study in Mugla. Turkey
- 이시영, "GIS를 이용한 산불피해지역 특성분석", 한국지리정보학회지, 5(1), pp.20~26 (2002), 한국지리정보학회
- Li F, "Improving estimation of summer maize nitrogen status with red edge-based spectral vegetation indices", Field Crops Research, 15, pp.111~123 (2014)[DOI]
- Lim JH, "Natural Regeneration Patten of Pine Seedings on the Burned Forest Site in Gosung. Korea", 14(4), pp.222~228 (2012)
- Morgan P, "Shrub response to high and low severity burns following clearcutting in northern Idaho", Western Journal of Applied Forestry, 3(1), pp.5~9 (1988)
- National Land Satellite Center Research Report, "National Geographic Information Instiute", 124~125 (2021)
- Post-Fire Restoration-To Establish a Healthy and Sustainable Forest Ecosystem, "National Institute of Forest Science", Korea Forest Service, 7~60 (2010)
- 노지선, "산불 지역 인공 · 자연복원에 따른 Landsat영상 기반 식생지수 비교", 한국환경복원기술학회지, 25(5), pp.43~57 (2022), 한국환경복원기술학회
- Roy DP, "Remote sensing of fire severity : assessing the performance of the normalized burn ratio", IEEE Geoscience and Remote Sensing Letters, 3(1), pp.112~116 (2006)
- "Sentinel-hub" (2023)[URL]
- Shaver TM, "Utilizing green normalized difference vegetation indices(GNDVI)for production level management zone delineation in irrigated corn", The 18th World Congress of Soil Science (2006)
- Silverio E, "Resilience or vulnerability of the rear-edge distributions of Pinus halepensis and Pinus pinaster plantations versus that of natural populations, under climate-change scenarios", Forest Science, 66(2), pp.178~190 (2020)
- Teodoro A, "A statistical and spatial analysis of Portuguese forest fires in summer 2016 considering Landsat 8 and Sentinel 2A data", Environments, 6(3), pp.36~ (2019)
- Van Wagtendonk JW, "Comparison of AVIRIS and Landsat ETM+detection capabilities for burn severity", Remote sensing of environment, 92(3), pp.397~408 (2004)
- Wang GG, "Fire severity in relation to canopy composition within burned boreal mixedwood stands", Forest Ecology and Management, 163(1-3), pp.85~92 (2002)
- White JD, "Remote sensing of forest fire severity and vegetation recovery", International Journal of Wildland Fire, 6(3), pp.125~136 (1996)
- 원명수, "Landsat 영상으로부터 정규탄화지수 추출과 산불피해지역 및 피해강도의 정량적 분석", 한국지리정보학회지, 10(3), pp.80~92 (2007), 한국지리정보학회
- Xingwang F, "A global study of NDVI difference amongmoderate-resolution satellite sensors", Journal of Photogrammetry and Remote Sensing, 121, pp.177~191 (2016)[DOI]
- Zennir R, "Forest fire area detection using Sentinel-2 data : Case of the Beni Salah national forest Algeria", Journal of Forest Science, 69, pp.33~40 (2023)[DOI]