Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of the Normalized Burn Ratio (NBR) for Mapping Burn Severity Base on IKONOS-Images

IKONOS 화상 기반의 산불피해등급도 작성을 위한 정규산불피해비율(NBR) 평가

  • Kim, Choen (Department of Forest Resources/Department of Applied Information Technology, Kookmin University)
  • 김천 (국민대학교 산림자원학과/응용정보기술학과)
  • Published : 2008.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

Burn severity is an important role for rehabilitation of burned forest area. This factor led to the pilot study to determine if high resolution IKONOS images could be used to classify and delinenate the bum severity over burned areas of Samchock Fire and Cheongyang-Yesan Fire. The results of this study can be summarized as follows: 1. The modified Normalized Bum Ratio (NBR) for IKONOS imagery can be evaluated using burn severity mapping. 2. IKONOS-derived NBR imagery could provide fire scar and detail mapping of burned areas at Samchock fire and Cheongyang-Yesan Burns.

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.

Keywords

References

  1. 공지수, 이승호, 김성경, 심우범, 김준섭, 장석창, 김성호, 김종찬, 서수안, 서정원, 김철민, 류주형, 2003, 임목피해, "청양.예산 산불피해지 정밀 보고서", 청양.예산 산불피해지 공동조사단, pp27-84.
  2. 김천, 이상훈, 윤보열, 정태웅, 강지윤, 2005, 산불피해 등급을 위한 고해상도 화상 판독열쇠, 과학기술부.국민대학교, 48p.
  3. 김형호, 이병두, 정주상, 2002, 신경망기법 적용에 의한 Landsat 7 ETM+영상을 이용한 산불피해지도 작성, 대한원격탐사학회지, 17(1):85-97.
  4. 원강영, 임정호, 2001, 단일시기의 Landsat 7 ETM+ 영상을 이용한 산불피해지도 작성, 대한원격탐사학회지, 17(1) : 85-97
  5. 유재욱, 2004, 위성 ETM+ 화상을 이용한 산불피해지역의 경관변화 분석, 국민대학교삼림자원학과 석사학위논문, 24p.
  6. Epting, J., D. Verbyla, and B. Sorbel, 2005. Evaluation of remotely sensed indexes for assessing burn severity in interior Alaska using Landsat TM and ETM+. Remote Sens. Environ. 97(1): 92-115. https://doi.org/10.1016/j.rse.2005.04.014
  7. Hardwick, P., H. Lachowski, P. Maus, R. Griffith, A. Parsons, and R. Warbington, 1997. Burned Area Emergency Rehabilitation (BAER) Use of Remote Sensing, USDA Forest Service, RSAC-0001-TIP1, Remote Sensing Application Center, Salt lake City, Utah, USA
  8. Horne, J. H, 2003. A Tasseled Cap Transformation for IKONOS Image, ASPRS 2003 Annual Conference Proceedings, Anchorage, Alaska, 9p.
  9. Hudak, A. T., S.Lewis, P. Robichaud, P. Robichaud, P. Morgan, M. Bobbitt, L. Lentile, A. Smith, Z. Holden, J. Clark, and R. McKinley, 2006. Sensitivity of Landsat image-derived burn severity indices to immediate post-fire effects, 3rd international Fire Ecology and Management Congress Proceedings, CD-ROM, 3p.
  10. Key, C. H. and N. Benson, 2002. Landscape assessment, in fire effects monitoring (FireMan) and inventory protocol: Integration of standardized field data collection techniques and sampling design with remote sensing to assess fire effects. NPS-USGS National Burn severity Mapping Project.
  11. Key, C. H., Z. Zhu, D. Ohlen, S. Howard, R. McKinley, and N. Benson, 2002. The normalized burn ratic and relationship to burn severity: Ecology, remote sensing and implementation, Rapid Delivery of Remote Sensing Products, Proc. of the Ninth Forest Service Remote Sensing Conference, ASPRS, unpaginated CD-ROM.
  12. Kokaly, R. F., B. W. Rockwell, S. L. Haire, and T. V. V. King, 2007. Characterization of post-fire surface cover, soils, and burn severity at the Cerro Grande Fire, New Mexico, using hyperspectral and multispectral remote sensing, Remote Sens. Environ. 106(3): 305-325 https://doi.org/10.1016/j.rse.2006.08.006
  13. Lopez-Garcia, M. J., and V. Caselles, 1991. Mapping Burns and Natural Reforestation Using Thematic Mapper Data, Geocarto International, 6: 31-37.
  14. Miller, J. D. and A. E. Thode, 2007. Quantifying burn severity in geterogeneous landscape with a relative version of the delta Normalized Burn Ratio (dNBR), Remote Sen. Environ. 109(1): 66-80. https://doi.org/10.1016/j.rse.2006.12.006
  15. van Wagtendonk, J. W., R. R. Root, and C. H. Key, 2005. Comparison of A VIRIS and Landsat ETM+ detection capabilities for burn severity, Remote Sens. Environ. 92(3): 397-408. https://doi.org/10.1016/j.rse.2003.12.015