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New Fast Detection Method of Forest Fire Monitoring and Application Based on FY-1D/MVISR Data

  • Jianzhong Feng
  • Huajun Tang
  • Linyan Bai
  • Qingbo Zhou
  • Zhongxin Chen
Conference paper
Part of the The International Federation for Information Processing book series (IFIPAICT, volume 258)

In this paper, the authors proposed a new work and process flow algorithm about remote sensing image data to forest fire identification and monitoring, which was greatly different with the traditional approaches. Therefore, a more useful context method was used to detect forest fire spots, banes on statistic rationale, meanwhile the cloud-contaminated pixels were rejected (if any) and the misjudged fire spots excluded by examination of NDVIs before and after forest fires occurred; moreover, a simpler and more resultful approach was used to earth-locate forest fire spots, and a forest-fire sub-pixel area situation was taken into account so as to evaluate forest-fire area and enhance accuracy of evaluated forest fire areas. Subsequently, a FFDM prototype system was designed and developed and later tested using the typical FY-1D/MVISR data, performance and running efficiency of which were practically greater than the normal mainstream software systems (e.g. ENVI) in this domain.

Keywords

FY-1D/MVISR Radiance vegetation index geo-referance workflow 

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Copyright information

© IFIP International Federation for Information Processing 2008

Authors and Affiliations

  • Jianzhong Feng
    • 1
  • Huajun Tang
    • 1
  • Linyan Bai
    • 2
  • Qingbo Zhou
    • 1
  • Zhongxin Chen
    • 1
  1. 1.Institute of Agriculture Resources & regional PlanningThe Chinese Academy of Agricultural SciencesChina
  2. 2.Institute of Remote Sensing ApplicationsThe Chinese Academy of Agricultural SciencesChina

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