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FOREST RESOURCES WANAGEMENT ›› 2022›› Issue (2): 75-81.doi: 10.13466/j.cnki.lyzygl.2022.02.011

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Study on Remote Sensing Extractions of Burned Areas in Greater Khingan Mountains

HAO Shuai1,2(), WANG Xing1, ZHANG Qiuliang1,2, WANG Bing1,2(), TIAN Yuan3   

  1. 1. Forestry College,Inner Mongolia Agricultural University,Hohhot 010019,China
    2. Forest Ecosystem National Observation and Research Station of Greater Khingan Mountains,Genhe,Inner Mongolia 022350,China
    3. College of Life and Environmental Science,Huangshan University,Huangshan,Anhui 245041,China
  • Received:2022-01-15 Revised:2022-02-23 Online:2022-04-28 Published:2022-06-13
  • Contact: WANG Bing E-mail:alan@imau.edu.cn;wbingbing2008@126.com

Abstract:

Fire is an important influencing factor of forest ecosystem. The development of remote sensing technology provides a powerful technical means for forest fire monitoring and loss estimation. Based on Landsat images,the extraction abilities of seven common remote sensing indexes (NDVI,EVI,GEMI,BAI,NBR,dNBR,NDSWIR) for the burned area in 1987,2003 and 2015 of Greater Khingan Mountains were compared and analyzed,so as to select the best remote sensing index suitable for the extraction of burning areas in Greater Khingan Mountains. Through the comparative analysis of the remote sensing indexes and the separation index,the following results were obtained:(1) after the fire,the spectral characteristics of vegetation changed correspondingly. The remote sensing index based on near-infrared band can distinguish the burned area from the normal vegetation. (2) The dNBR was the best remote sensing index for extracting the burned area in Greater Khingan Mountains,followed by the NBR,BAI and NDSWIR,the NDVI and EVI were the worst. (3) The areas of three burned areas based on dNBR were 3 145.23,197 726.67 and 48.06 hm2,respectively.

Key words: Greater Khingan Mountains, burned area, landsat, remote sensing index, separation index

CLC Number: