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산불 지역 인공·자연복원에 따른 Landsat영상 기반 식생지수 비교
Normalized Difference Vegetation Index based on Landsat Images Variations between Artificial and Natural Restoration Areas after Forest Fire 원문보기

環境復元綠化 = Journal of the Korean Society of Environmental Restoration Technology, v.25 no.5, 2022년, pp.43 - 57  

노지선 (한국산지보전협회 산지정보화센터) ,  최재용 (충남대학교 농업생명과학대학 산림환경자원학과)

Abstract ▼ AI-Helper 아이콘AI-Helper

This study aims to classify forest fire-affected areas, identify forest types by the intensity of forest fire damage using multi-time Landsat-satellite images before and after forest fires and to analyze the effects of artificial restoration sites and natural restoration sites. The difference in the...

주제어

#Forest fire severity   #Normalized burn ratio   #Near-infrared   #Short wave-infrared   #Monitoring  

표/그림 (12)

참고문헌 (28)

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    상세보기 crossref

  2. Choi SP and Park JS. 2004. Comparative Analysis between Normalized Burn Ration and Normalized Difference Vegetation Index in Forest Damage Area. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 22(3): 261-268. (in Korean with English summary) 

  3. Cocke, A.E., P.Z. Fule, and J.E. Crouse. 2005. Comparison of burn severity assessments using Differenced Normalized Burn Ratio and ground data, International Journal of Wildland Fire, 14(2): 189-198. 

    상세보기 crossref

  4. DeBano. L.F., Neary, D.G. and Ffolliott, P.F. 1998. Fire's effects on ecosystems, John Wiley and Sons:New York, NY. 

  5. Doerr, S.H., Shakesby, R.A., Blake, W.H., Chafer, C.J., Humphreys, G.S. and Wallbrink, P.J. 2006. Effects of differing wildfire severities on soil wettability and implications for hydrological response. Journal of Hydrology 319: 298-311 

  6. Jeon SW and Park JH. 1997. Uses of Remote Sensing Techniques in Managing Ecosystem. Korea Environment Institute: 1-2. (in Korean) 

  7. Key, C.H. and N.C. Benson. 2002. Measuring and remote sensing of burn severity, Proc. of 2000 US Geological Survey(USGS) Wildland Fire Workshop, Los Alamos, NM, Oct. 31-Nov. 3, pp. 2-11. 

  8. Key, C.H. and N.C. Benson. 2006. Landscape assessment: sampling and analysis methods, Rocky Mountain Research Station General Technical Report RMRS-GTR-164-CD, USDA Forest Service, Ogden, UT, USA. 

  9. Korea Forest Research Institute. 1996. Report on the research the ecological environment at Forest fire area in Gosung. Korea Forest Service. 169. (in Korean) 

  10. Korea Forest Service. 2021. Forest Fire Statistics. 74-128. (in Korean) 

  11. Lee SM and Jeong JC. 2019. Forest Fire Severity Classification Using Probability Density Function and KOMPSAT-3A. Korean Journal of Remote Sensing, 35(6-4): 1341-1350. (in Korean with English summary) 

  12. Lee SY.Jun KW.Lee MW and Chun KW. 2008. Mortality in Pine Stand and Vegetation Recovery after Forest Fire. Korean Society of Hazard Mitigation 8(1): 71-79. (in Korean with English summary) 

  13. Lee SY.Won MS and Han SY. 2005. Developing of Forest Fire Occurrence Danger Index Using Fuel and Topographic Characteristics on the Condition of Ignition Point in Kore. Korea Institute of Fire Science & Engineering 19(4): 75-79. (in Korean with English summary) 

  14. Lee SY.Kang YS.An SH and Oh JS. 2002. Characteristic Analysis of Forest Fire Burned Area usin GIS. Journal of the Korean Association of Geographic Information Studies 5(1): 20-26. (in Korean with English summary) 

  15. Lee JM.Won MS.Lim JH and Lee SW. 2012. Effects of Edge Area and Burn Severity on Early Vegetation Regeneration in Damaged Area. Journal of Korean Fores Society, 101(1): 121-129 (in Korean with English summary) 

  16. Lim JH.Kim JH and Bae SW. 2012. Natural Regeneration Patten of Pine Seedlings on the Burned Forest Site in Gosung, Korea. Korea Journal of Agricultural and Forest Meteorology, 14(4): 222-228 (in Korean with English summary) 

    원문보기 상세보기 crossref

  17. Ministry of Environment. 2002. Studies on the Ecosystem Restoration and the Polices in the East Coast Fire Regions. 158-172. (in Korean) 

  18. Morgan, P. and Neuenschwander, L.F. 1988. Shrub response to high and low severity burns. Western Journal of Applied Forestry 3(1): 5-9 

    상세보기 crossref

  19. National Geographic Information Institute. 2021. National Land Satellite Center Research Report. 124-125. (in Korean) 

  20. National Institute of Forest Science. 2006. Post-Fire Restoration - To Establish a Healthy and Sustainable Forest Ecosystem. Korea Forest Service. 7-60. 

  21. Roy, D. P., L. Boschetti, and S. N. Trigg. 2006. Remote sensing of fire severity: assessing the performance of the normalized burn ratio, IEEE Geoscience and Remote Sensing Letters, 3(1): 112-116. 

    상세보기

  22. Sohn HJ.Kim DH.Kim NY.Hong JP and Song YK. 2019. Evaluation indicators for the restoration of degraded urban ecosystems and the analysis of restoration performance. Journal of Korean Society of Environmental Restoration Technology, 22(6): 97-114 (in Korean with English summary) 

  23. Van Wagtendonk, J.W., R.R. Root, and C.H. Key. 2004. Comparison of AVIRIS and Landsat ETM+ detection capabilities for burn severity, Remote Sensing of Environment, 92(3): 397-408 

    상세보기 crossref

  24. Won MS.Koo KS and Lee MB. 2007. An Quantitative Analysis of Severity Classification and Burn Severity for the Large Forest Fire Areas using Normalized Burn Ratio of Landsat Imagery. Journal of the Korean Association of Geographic Information Studies 10(3): 80-97 (in Korean with English summary) 

  25. Won MS.Jang KC.Yoon SH and Lee HT. 2019. Change Detection of Damaged Area and Burn Severity due to Heat Damage from Gangwon Large Fire Area in 2019. Korea Journal of Remote Sensing, 35(6-2): 1083-1093 (in Korean with English summary) 

  26. Wang, G.G. 2002. Fire severity in relation to canopy com-position within burned boreal mixewood stands. Forest Ecology and Management 163: 85-92 

    상세보기 crossref

  27. White, J.D., Ryan, K.C., Key, C.C. and Running, S.W. 1996. Remote sensing of forest fire severity and vegeta-tion recovery. International Journal of Wildland Fire 6: 125-136 

    상세보기 crossref

  28. Youn HJ and Jeong JC. 2019. Detection of Forest Fire and NBR Mis-classified Pixel Using Multi-temporal Sentinel-2A Images. Korean Journal of Remote Sensing 35(6-2): 1107-1115. (in Korean with English summary) 

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