• 제목/요약/키워드: Burn severity

검색결과 48건 처리시간 0.023초

Landsat NBR지수를 이용한 대형산불 피해지 구분 및 피해강도의 정량적 분석 (An Quantitative Analysis of Severity Classification and Burn Severity At the targe-fire Areas Using NBR Index of Landsat Imagery)

  • 원명수;구교상;이명보
    • 한국방재학회:학술대회논문집
    • /
    • 한국방재학회 2007년도 정기총회 및 학술발표대회
    • /
    • pp.231-237
    • /
    • 2007
  • To monitor process of vegetation rehabilitation at the damaged area after large-fire is required a lot of manpowers and budgets. However the analysis of vegetation recovery using satellite imagery can be obtaining rapid and objective result remotely in the large damaged area. Space and airbone sensors have been used to map area burned, assess characteristics of active fires, and characterize post-fire ecological effects. Burn severity incorporates both short- and long-term post-fire effects on the local and regional environment. Burn severity is defined by the degree to which an ecosystem has changed owing to the fire. To classify fire damaged area and analyze burn severity of Samcheok fire area occurred in 2000, Cheongyang fire 2002, and Yangyang fire 2005 was utilized Landsat TM and ETM+ imagery. Therefore the objective of the present paper is to quantitatively classify fire damaged area and analyze burn severity using normalized burn index(NBR) of pre- and post-fire's Landsat satellite imagery.

  • PDF

SPOT5영상과 현장조사자료를 융합한 대형산불지역의 피해강도 분석 (Analysis of Burn Severity in Large-fire Area Using SPOT5 Images and Field Survey Data)

  • 원명수;김경하;이상우
    • 한국농림기상학회지
    • /
    • 제16권2호
    • /
    • pp.114-124
    • /
    • 2014
  • 본 연구는 2011년 100ha 이상의 대형산불 피해지인 울진과 영덕지역을 대상으로 하였으며 산불피해강도를 평가하기 위해 현장조사와 고해상도 위성영상자료 분석을 병행하였다. 위성영상자료 분석 시 산불피해지역의 피해강도를 가장 적절하게 평가할 수 있는 영상분류기법들을 비교 분석하여 최적의 피해강도 평가방법을 선정하였다. 대형산불 피해지역의 최적의 피해강도 평가기법으로는 현장조사에서 획득한 트레이닝 지역의 정보를 이용한 최대우도법을 적용하였을 때 가장 좋은 평가결과를 보였다. 산불피해강도의 정확도 검증 결과, 평균 전체정확도는 88.38%와 Kappa coefficient는 0.8147로 나타났다. 분류정확도는 최대우도법, NDVI, 최소거리법 순으로 나타났다. 산불피해강도 현장조사 결과와 위성영상자료에서 추출한 피해강도의 상관관계는 울진산불 피해지에서 r = -0.544, 영덕산불 피해지는 r = -0.616으로 나타났다.

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)

  • 김장수;오정식
    • 한국지형학회지
    • /
    • 제28권1호
    • /
    • pp.83-99
    • /
    • 2021
  • 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.

Landsat 영상으로부터 정규탄화지수 추출과 산불피해지역 및 피해강도의 정량적 분석 (An Quantitative Analysis of Severity Classification and Burn Severity for the Large Forest Fire Areas using Normalized Burn Ratio of Landsat Imagery)

  • 원명수;구교상;이명보
    • 한국지리정보학회지
    • /
    • 제10권3호
    • /
    • pp.80-92
    • /
    • 2007
  • 산불은 우리나라 산림의 주요 교란요소중의 하나로써 산림 구조와 기능에 매우 큰 영향을 미치며, 산불피해강도에 따라 피해 후 식생회복 과정이 달라질 수 있다. 대형산불 피해지의 피해강도와 식생회복 과정을 파악하기 위해서는 많은 인력과 예산이 필요하지만 위성영상자료를 이용한 산불피해지의 피해강도 분석은 신속한 정보는 물론 대규모 피해지의 객관적인 결과를 원격적으로 취득할 수 있다. 위성과 항공기 탑재 센서들은 피해규모를 맵핑하고 진행산불 특성을 평가하며 산불피해후의 생태적 영향 특성을 규명하는데 활용되고 있다. 본 연구에서는 2000년 삼척산불, 2002년 청양산불 그리고 2005년 양양 대형산불 피해지를 구분하고 피해강도를 정량적으로 분석하기 위해 정규탄화지수(Normalized Burn Ratio: NBR)를 활용하였다. 본 연구를 위해 산불피해 전후 동일시기의 Landsat 위성영상 자료를 활용하여 정규탄화지수(NBR)를 산출하고 30m 해상도의 피해강도 패턴을 평가하였다. 산불피해강도 평가결과, 삼척산불 피해지는 피해강도 '중' 이상(${\Delta}NBR$ 152 이상) 지역이 전체의 65%를 차지하였으며 청양 예산산불피해지는 91%, 양양산불피해지는 65%로 나타나 3지역 중 청양 예산지역이 피해강도 측면에서만 보면 가장 큰 피해를 입은 것으로 분석되었다. 따라서 RS와 GIS를 이용하여 원격 탐지된 ${\Delta}NBR$은 대규모 산불피해지의 구분은 물론 산불피해강도를 공간적으로 정량화할 수 있다.

  • PDF

산림 공간구조 특성과 산불 연소강도와의 관계에 관한 연구 (Linking Spatial Characteristics of Forest Structure and Burn Severity)

  • 이상우;임주훈;원명수;이주미
    • 한국환경복원기술학회지
    • /
    • 제12권5호
    • /
    • pp.28-41
    • /
    • 2009
  • Because fire has significant impacts on fauna and flora in forest ecosystems, as well as socioeconomic influences to local community, it has been an important field of study for decades. One of the most common ways to reduce fire risk is to enhance fire-resilience of forest through fuel treatments including thinning and prescribed burning. Since fuel treatment can't be practiced over all forested areas, appropriate and effective strategies are needed. The present study aims to look at the relationship between spatial characteristics of forest structure measured with landscape pattern metrics and burn severity to provide guidelines for effective fuel treatments. Samchuck fire was selected for the study, and 232 grids covering the study areas were generated, and the grid size was 1km. The burn severity is measured with dNBR derived from satellite imagery, and spatial characteristics of forest structure were measured using FRAGSTATS for both landscape and class levels for each 1km grid. The results of this study strongly indicated that heterogeneity in composition and configuration of forests may significantly reduce burn severity. By enhancing heterogeneity of forests, fuel treatments for fire-resilience forest could be more effective.

Histogram Matching of Sentinel-2 Spectral Information to Enhance Planetscope Imagery for Effective Wildfire Damage Assessment

  • Kim, Minho;Jung, Minyoung;Kim, Yongil
    • 대한원격탐사학회지
    • /
    • 제35권4호
    • /
    • pp.517-534
    • /
    • 2019
  • In abrupt fire disturbances, high quality images suitable for wildfire damage assessment can be difficult to acquire. Quantifying wildfire burn area and severity are essential measures for quick short-term disaster response and efficient long-term disaster restoration. Planetscope (PS) imagery offers 3 m spatial and daily temporal resolution, which can overcome the spatio-temporal resolution tradeoff of conventional satellites, albeit at the cost of spectral resolution. This study investigated the potential of augmenting PS imagery by integrating the spectral information from Sentinel-2 (S2) differenced Normalized Burn Ratio (dNBR) to PS differenced Normalized Difference Vegetation Index (dNDVI) using histogram matching,specifically for wildfire burn area and severity assessment of the Okgye wildfire which occurred on April 4th, 2019. Due to the difficulty in acquiring reference data, the results of the study were compared to the wildfire burn area reported by Ministry of the Interior and Safety. The burn area estimates from this study demonstrated that the histogram-matched (HM) PS dNDVI image produced more accurate burn area estimates and more descriptive burn severity intervals in contrast to conventional methods using S2. The HM PS dNDVI image returned an error of only 0.691% whereas the S2 dNDVI and dNBR images overestimated the wildfire burn area by 5.32% and 106%, respectively. These improvements using PS were largely due to the higher spatial resolution, allowing for the detection of sparsely distributed patches of land and narrow roads, which were indistinguishable using S2 dNBR. In addition, the integration of spectral information from S2 in the PS image resolved saturation effects in areas of low and high burn severity.

IKONOS 화상 기반의 산불피해등급도 작성을 위한 정규산불피해비율(NBR) 평가 (Evaluation of the Normalized Burn Ratio (NBR) for Mapping Burn Severity Base on IKONOS-Images)

  • 김천
    • 대한원격탐사학회지
    • /
    • 제24권2호
    • /
    • pp.195-203
    • /
    • 2008
  • 본 연구는 KOMFSAT-2호 및 3호의 화상활용의 일환으로 고해상도 위성화상을 이용한 산불피해비율(NBR) 기반의 산불피해등급도 작성 개발이다. 무엇보다 중적외선 밴드가 없는 IKONOS 화상에서 NBR 산법개발과 NBR 기초한 삼척과 청양 예산 산불피해지의 산불피해등급도를 기존의 다른 기법과 평가한 결과 우수성이 입증되었다. 향후 고해상도 KOMPSAT 화상을 이용한 NBR 기반의 산불피해등급도는 산불 후 피해복원에 중요한 정보를 제공할 것이다.

화상환자에서 패혈증의 조기 예측인자로서의 DNI (Delta Neutrophil Index as an Early Marker of Sepsis in Burn Patients)

  • 김총명;하철민
    • 대한화상학회지
    • /
    • 제22권2호
    • /
    • pp.38-44
    • /
    • 2019
  • Purpose: The immature granulocyte count has been reported to be a marker of infection and sepsis. The difference in leukocyte subfractions (delta neutrophil index, DNI) in ADVIA 2120 reflects the fraction of circulating immature granulocytes in the blood. This study evaluated the clinical utility of DNI as a severity and prediction marker in critically ill patients with burn sepsis. Methods: One hundred and sixty nine patients admitted to the burn care unit were studied. DNI (the difference in leukocyte subfractions identified by myeloperoxidase and nuclear lobularity channels) was determined using a specific blood cell analyzer. Results: Seventy one patients (42 %) were diagnosed with burn sepsis. DNI was significantly higher in patients with burn sepsis than in patients without (P<0.01). Delta neutrophil index was a better indicator of burn sepsis than C-reactive protein, lactate, white blood cell count, HCO3, base excess, lactate, procalcitonin (odds ratio, 6.31; confidence interval 2.36~16.90; P<0.01). And the receiver operating characteristic curves showed that delta neutrophil index, AUC 0.795 (95% confidence interval, 0.721~0.869; P<0.05) was a better predictor of burn sepsis than lactate, procalcitonin, white blood cell, base excess and abbreviated burn severity index. Conclusion: Delta neutrophil index may be used as a early marker of patients with burn sepsis.

화상으로 입원한 여성 근로자의 화상유형 및 발생원인, 치료적 특성 (Characteristics of Burn Types, Causes, and Treatment in Hospitalized Female Patients with Industrial Injuries)

  • 김지나;강희선
    • 한국직업건강간호학회지
    • /
    • 제25권2호
    • /
    • pp.85-95
    • /
    • 2016
  • Purpose: The purpose of this study was to examine the burn characteristics of female patients hospitalized in a burn center. Methods: This is a retrospective descriptive study. The subjects were 222 female patients aged over 19 years old having burn injuries from work sites between January 1, 2012 and December 31, 2014. Data were collected using electronic medical records about the burn-related characteristics. The data were analyzed descriptively. Results: Many of the subjects were in their forties and fifties. Most subjects showed burns with an area of less than 10% of the body surface with a severity of second degree. Scalding burns were the most frequent. Contact burns were usually of third-degree severity and occurred on hands and wrists. Flame burns affected the largest body surface area and frequently occurred on the face and mainly caused by explosion of a stove or kitchen gas. Chemical burns frequently occurred on the lower limbs. Conclusion: Female workers are exposed to the hazards of burn injuries in industrial accidents. Types of burn differ depending on the workplace conditions. Therefore, preventative measures for burn injuries should be established in accordance with the characteristics of each industry to which female workers belong.

한국형 산불피해강도지수(KCBI)의 개발 및 검증 (Development and Validation of Korean Composit Burn Index(KCBI))

  • 이현주;이주미;원명수;이상우
    • 한국산림과학회지
    • /
    • 제101권1호
    • /
    • pp.163-174
    • /
    • 2012
  • 산불피해강도지수(CBI, Composite Burn Index)는 미국 산림청(USDA Forest Service)에서 위성영상을 이용하여 산불 피해강도 측정을 위해 개발한 산불피해 현장 조사 지수이다. 국내의 경우 별도의 산불피해 지수가 없어, 미국 CBI를 산불 피해지 조사에 준용하여 왔으나, CBI는 국내 여건에 맞지 않다는 지적이 제기되어 산불피해강도지수(KCBI, Korean Composite Burn Index)를 개발하게 되었다. 따라서 본 연구는 미국 CBI에 기초하여 한국형 산불피해강도지수(KCBI, Korean Composite Burn Index)의 개발과 검증에 목표를 두고 수행되었다. KCBI는 CBI에 기초하여 국내 현장적용 후 문제점을 파악 후 정교화 하였으며, 위성영상 결과와의 적합성 검토를 위하여 2011년도 산불 피해지중 상대적으로 피해 규모가 큰 울진과 영덕 산불피해지를 연구 대상지로 선정 후 각 44개 지점에서 산불피해 강도를 평가하였다. 산불피해강도(BS, Burn Severity)는 산불발생 후 1개월 후에 촬영된 SPOT 영상을 이용하여 NDVI(Normalized Difference Vegetation Index) 값으로 계산하였으며, 상관분석과 오류메트릭스(Confusion Matrix)를 이용하여 유효성을 검증하였다. 분석 결과 울진피해지는 (r = -0.544, P<0.01), 영덕피해지 (r = -0.616, P<0.01)로 나타났다. 부의 상관관계를 나타난 이유는 NDVI의 DN 값은 낮을 수 록 높은 피해강도를로 나타내며, 높을수록 낮은 피해강도를 나타내기 때문이다. 본 결과로 제시된 KCBI는 국내 산불 피해 현장에서 적용 가능한 것으로 판단되었다. 하지만 등급분류 방법과 기대치 보다 낮은 상관도 등의 문제점도 나타났다. 또한 오류메트릭스 분석결과 KCBI가 일부 높은 산불 강도 등급에 치우쳐 분포하는 현상 등이 나타났다. 제기된 문제점들을 바탕으로 향후 KCBI를 더 많은 한국 산불피해지에 적용함으로써, 추후 연구를 진행해야 할 것이다.