위성영상을 이용한 서부임진강하구권역 내 DMZ 산불지역 회복성 분석
Recoverability analysis of Forest Fire Area Based on Satellite Imagery: Applications to DMZ in the Western Imjin Estuary
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Burn severity analysis using satellite imagery has high capabilities for research and management in inaccessible areas. We extracted the forest fire area of the DMZ (Demilitarized Zone) in the western Imjin Estuary which is restricted to access due to the confrontation between South and North Korea. Then we analyzed the forest fire severity and recoverability using atmospheric corrected Surface Reflectance Level-2 data collected from Landsat-8 OLI (Operational Land Imagery) / TIRS (Thermal Infrared Sensor). Normalized Burn Ratio (NBR), differenced NBR (dNBR), and Relative dNBR (RdNBR) were analyzed based on changes in the spectral pattern of satellite images to estimate burn severity area and intensity. Also, we evaluated the recoverability after a forest fire using a land cover map which is constructed from the NBR, dNBR, and RdNBR analyzed results. The results of dNBR and RdNBR analysis for the six years (during May 30, 2014 – May 30, 2020) showed that the intensity of monthly burn severity was affected by seasonal changes after the outbreak and the intensity of annual burn severity gradually decreased after the fire events. The regrowth of vegetation was detected in most of the affected areas for three years (until May 2020) after the forest fire reoccurred in May 2017. The monthly recoverability (from April 2014 to December 2015) of forests and grass fields was increased and decreased per month depending on the vegetation growth rate of each season. In the case of annual recoverability, the growth of forest and grass field was reset caused by the recurrence of a forest fire in 2017, then gradually recovered with grass fields from 2017 to 2020. We confirmed that remote sensing was effectively applied to research of the burn severity and recoverability in the DMZ. This study would also provide implications for the management and construction statistics database of the forest fire in the DMZ.
Abstract
Burn severity analysis using satellite imagery has high capabilities for research and management in inaccessible areas. We extracted the forest fire area of the DMZ (Demilitarized Zone) in the western Imjin Estuary which is restricted to access due to the confrontation between South and North Korea. Then we analyzed the forest fire severity and recoverability using atmospheric corrected Surface Reflectance Level-2 data collected from Landsat-8 OLI (Operational Land Imagery) / TIRS (Thermal Infrared Sensor). Normalized Burn Ratio (NBR), differenced NBR (dNBR), and Relative dNBR (RdNBR) were analyzed based on changes in the spectral pattern of satellite images to estimate burn severity area and intensity. Also, we evaluated the recoverability after a forest fire using a land cover map which is constructed from the NBR, dNBR, and RdNBR analyzed results. The results of dNBR and RdNBR analysis for the six years (during May 30, 2014 – May 30, 2020) showed that the intensity of monthly burn severity was affected by seasonal changes after the outbreak and the intensity of annual burn severity gradually decreased after the fire events. The regrowth of vegetation was detected in most of the affected areas for three years (until May 2020) after the forest fire reoccurred in May 2017. The monthly recoverability (from April 2014 to December 2015) of forests and grass fields was increased and decreased per month depending on the vegetation growth rate of each season. In the case of annual recoverability, the growth of forest and grass field was reset caused by the recurrence of a forest fire in 2017, then gradually recovered with grass fields from 2017 to 2020. We confirmed that remote sensing was effectively applied to research of the burn severity and recoverability in the DMZ. This study would also provide implications for the management and construction statistics database of the forest fire in the DMZ.
참고문헌 (34)
- Cardil, A., "Fire and burn severity assessment: Calibration of Relative Differenced Normalized Burn Ratio (RdNBR)with field data", Journal of Environmental Management, 235, pp.342~349 (2019)
- 채성호, "Landsat-8 OLI", TIRS 위성영상의 지표온도와 식생지수를 이용한 토양의 수분 상태 관측 및 농업분야에의 응용 가능성 연구, 2017, pp.33(6), 931~946[DOI]
- 최석근, "Landsat 8 OLI영상의 NDVI를 이용한 식생피복지수 분석", 한국측량학회지, 32(1), pp.9~17 (2014), 한국측량학회[DOI]
- 장동호, "위성영상을 이용한 남서해안지역의 기온변화에 따른 식생 분석", 한국지형학회지, 14(1), pp.67~75 (2007), 한국지형학회
- 조명희, "ISODATA 기법을 이용한 RapidEye 영상으로부터 하천의 추출에 관한 연구", 한국지리정보학회지, 15(4), pp.1~14 (2012), 한국지리정보학회[DOI]
- Landscape assessment: sampling and analysis methods, "Key, C. H.", USDA Forest Service, ~, pp.Rocky Mountain Research Station General Technical Report RMRS-GTR-164-CD (2006)
- 김근한, "접근불능지역의 중분류 토지피복지도 구축 방안", 한국지도학회지, 16(3), pp.49~61 (2016), 한국지도학회
- 김장수, "하구둑 건설 후의 금강하류 유역의 하도내 퇴적환경 연구", 한국지형학회지, 16(1), pp.1~15 (2009), 한국지형학회
- 김장수, "다중시기 위성영상과 ASTER DEM자료를 이용한 충남해안지역의 임상 변화 분석", 한국지형학회지, 19(1), pp.69~81 (2012), 한국지형학회
- 김장수, "해수면 상승에 따른 침수 취약지의 토지피복 변화 예측- 태안군을 사례로 -", 경관과 지리, 23(4), pp.205~222 (2013), 한국사진지리학회[DOI]
- 김나리, "Landsat 8 OLI 영상을 이용한 산불탐지: 2019년 호주 산불을 사례로", 대한원격탐사학회지, 36(5), pp.775~784 (2020), 대한원격탐사학회[DOI]
- Korea Forest Service, "2013 Forest Fire Statistics Yearbook" (2014)
- Korea Forest Service, "2014 Forest Fire Statistics Yearbook" (2015)
- Korea Forest Service, "2015 Forest Fire Statistics Yearbook" (2016)
- Korea Forest Service, "2017 Forest Fire Statistics Yearbook" (2018)
- Korea Forest Service, "2019 Forest Fire Statistics Yearbook" (2020)
- KIGAM (Korea Institute of Geoscience and Mineral Resources), "Explanatory Textof The Geological Map ofCheolwon-Majeonri Sheet", ~ (1996)
- 이규송, "동해안 산불 피해지에서 산불 후 경과 년 수에 따른 식생 구조의 발달", Journal of Ecology and Environment, 27(2), pp.99~106 (2004), 한국생태학회
- Miller, J. D., "Calibration and validation of the relative differenced Normalized Burn Ratio (RdNBR)to three measures of fire severity in the Sierra Nevada and Klamath Mountains, California, USA", Remote Sensingof Environment, 113, pp.645~656 (2009)
- Miller, J. D., "Quantifying burn severity in a heterogeneous landscape a relative version of the delta Normalized Burn Ration (dNBR),", Remote Sensing of Environment, 109, pp.66~80 (2007)
- Ecological survey on the Korean Demilitarized Zone(DMZ), "Ministry of Environment", National Institute of Ecology, ~ (2018)
- Murphy, S. W., "HOTMAP:Global hot target detection at moderate spatial resolution", Remote Sensing of Environment, 177, pp.78~88 (2016)
- 오정식, "무인항공기를 활용한 고기복지형의 고해상도 수치표고모델 구축과 지형분석", 경관과 지리, 29(2), pp.115~127 (2019), 한국사진지리학회[DOI]
- 박성욱, "고해상도 위성영상과 Fully Convolutional Network를 활용한 산림재해 피해지 탐지", 경관과 지리, 28(4), pp.87~101 (2018), 한국사진지리학회[DOI]
- Parks, S. A., "A New Metric for Quantifying Burn Severity: The Relativized Burn Ratio", Remote Sensing, 6(3), pp.1827~1844 (2014)
- Phiri, D., "Developments in Landsat Land Cover Classification Methods:A Review", Remote Sensing, 9(9), pp.967~993 (2017)
- Schroeder, W., "Active fire detection using Landsat-8", OLI data, 2016, pp.185, 210~220
- Soverel, N. O., "Estimating burn severity from Landsat dNBR and RdNBR indices across western Canada", Remote Sensing of Environment, 114, pp.1896~1909 (2010)
- "Landsat 8 (L8) Data Users Handbook Version 5.0, EROS, Sioux Falls" (2016)[URL]
- 원명수, "Landsat 영상으로부터 정규탄화지수 추출과 산불피해지역 및 피해강도의 정량적 분석", 한국지리정보학회지, 10(3), pp.80~92 (2007), 한국지리정보학회