A comparison of forest fire burned area indices based on HJ satellite data

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• 作者：Wenliang Liu ; Litao Wang ; Yi Zhou ; Shixin Wang ; Jinfeng Zhu ; Futao Wang
• 关键词：Burned area ; HJ satellites ; BAI ; GEMI ; NDVI
• 刊名：Natural Hazards
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：81
• 期：2
• 页码：971-980
• 全文大小：940 KB
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• 作者单位：Wenliang Liu (1)
  Litao Wang (1)
  Yi Zhou (1)
  Shixin Wang (1)
  Jinfeng Zhu (1)
  Futao Wang (1)
  
  1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, People’s Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geophysics and Geodesy
  Geotechnical Engineering
  Civil Engineering
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-0840

文摘

The accurate extraction of burned area is important for biomass burning monitoring and loss evaluation. Environment and Disasters Monitoring Microsatellite Constellation put forward by China has two satellites of HJ-1A and HJ-1B in orbit. Each satellite has two CCD cameras with four bands to meet the need of mapping burned area. In order to evaluate the capability for mapping the burned area using HJ satellite’s CCD data, a forest fire occurring in Yuxi, Yunnan Province of Southwest China, was selected to analyze the spectral characteristic in the range of visible and near infrared in this paper. The research of mapping burned area was carried out based on the HJ satellites using three spectral indices (NDVI, GEMI and BAI). The color composite images including NIR band could reflect the spectral change in post-fire vegetation with a higher repetition cycle (2 days, or 1 day in some region) and higher spatial resolution (30 m). Through the comparison with the discrimination index M and extraction accuracy, the BAI has higher discrimination capability than NDVI and GEMI, and the highest M value is 2.1943. The extraction of burned area based on BAI showed higher accuracy, and the highest kappa value is 0.8957. Using HJ satellites, the map of burned area with higher temporal–spatial resolution and higher accuracy could provide the potential for dynamic monitoring and analyzing fire behavior. Keywords Burned area HJ satellites BAI GEMI NDVI