中国地理科学(英文版) ›› 2013, Vol. 23 ›› Issue (3): 344-352.doi: 10.1007/s11769-013-0597-6

• 论文 • 上一篇    下一篇

A MODIS Time Series Data Based Algorithm for Mapping Forest Fire Burned Area

YANG Wei1,3, ZHANG Shuwen1, TANG Junmei2, BU Kun1, YANG Jiuchun1, CHANG Liping1   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    2. Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • 收稿日期:2012-05-11 修回日期:2012-10-08 出版日期:2013-05-29 发布日期:2013-05-30
  • 通讯作者: ZHANG Shuwen. E-mail: Zhangshuwen@neigae.ac.cn E-mail:Zhangshuwen@neigae.ac.cn
  • 基金资助:

    Under the auspices of Strategic Pilot Science and Technology Projects of Chinese Academic Sciences (No. XDA05090310)

A MODIS Time Series Data Based Algorithm for Mapping Forest Fire Burned Area

YANG Wei1,3, ZHANG Shuwen1, TANG Junmei2, BU Kun1, YANG Jiuchun1, CHANG Liping1   

  1. 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
    2. Department of Geography and Environmental Systems, University of Maryland, Baltimore County, Baltimore, MD 21250, USA;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-05-11 Revised:2012-10-08 Online:2013-05-29 Published:2013-05-30
  • Contact: ZHANG Shuwen. E-mail: Zhangshuwen@neigae.ac.cn E-mail:Zhangshuwen@neigae.ac.cn
  • Supported by:

    Under the auspices of Strategic Pilot Science and Technology Projects of Chinese Academic Sciences (No. XDA05090310)

摘要:

Burned area mapping is an essential step in the forest fire research to investigate the relationship between forest fire and climate change and the effect of forest fire on carbon budgets. This study proposed an algorithm to map forest fire burned area using the Moderate-Resolution Imaging Spectroradiameter (MODIS) time series data in Heilongjiang Province, China. The algorithm is divided into two steps: Firstly, the ‘core' pixels were extracted to represent the most possible burned pixels based on the comparison of the temporal change of Global Environmental Monitoring Index (GEMI), Burned Area Index (BAI) and MODIS active fire products between pre-and post-fires. Secondly, a 15-km distance was set to extract the entire burned areas near the ‘core' pixels as more relaxed conditions were used to identify the fire pixels for reducing the omission error as much as possible. The algorithm comprehensively considered the thermal characteristics and the spectral change between pre-and post-fires, which are represented by the MODIS fire products and the spectral index, respectively. Tahe, Mohe and Huma counties of Heilongjiang Province, China were chosen as the study area for burned area mapping and a time series of burned maps were produced from 2000 to 2011. The results show that the algorithm can extract burned areas more accurately with the highest accuracy of 96.61%.

关键词: Burned area mapping, Moderate Resolution Imaging Spectroradiameter (MODIS), Global Environmental Monitoring Index (GEMI), Burned Area Index (BAI)

Abstract:

Burned area mapping is an essential step in the forest fire research to investigate the relationship between forest fire and climate change and the effect of forest fire on carbon budgets. This study proposed an algorithm to map forest fire burned area using the Moderate-Resolution Imaging Spectroradiameter (MODIS) time series data in Heilongjiang Province, China. The algorithm is divided into two steps: Firstly, the ‘core' pixels were extracted to represent the most possible burned pixels based on the comparison of the temporal change of Global Environmental Monitoring Index (GEMI), Burned Area Index (BAI) and MODIS active fire products between pre-and post-fires. Secondly, a 15-km distance was set to extract the entire burned areas near the ‘core' pixels as more relaxed conditions were used to identify the fire pixels for reducing the omission error as much as possible. The algorithm comprehensively considered the thermal characteristics and the spectral change between pre-and post-fires, which are represented by the MODIS fire products and the spectral index, respectively. Tahe, Mohe and Huma counties of Heilongjiang Province, China were chosen as the study area for burned area mapping and a time series of burned maps were produced from 2000 to 2011. The results show that the algorithm can extract burned areas more accurately with the highest accuracy of 96.61%.

Key words: Burned area mapping, Moderate Resolution Imaging Spectroradiameter (MODIS), Global Environmental Monitoring Index (GEMI), Burned Area Index (BAI)