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

文献类型: 会议论文

第一作者: Jianzhong Feng

作者: Jianzhong Feng 1 ; Huajun Tang 1 ; Linyan Bai 2 ; Qingbo Zhou 1 ; Zhongxin Chen 1 ;

作者机构: 1.Institute of Agriculture Resources & regional Planning, The Chinese Academy of Agricultural Sciences, 100081, China

2.Institute of Remote Sensing Applications, The Chinese Academy of Agricultural Sciences, 100081, China

关键词: FY-1D/MVISR;Radiance;vegetation index;geo-referance;workflow

会议名称: Computer and computing technologies in agriculture.

主办单位:

页码: 613-628

摘要: 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.

分类号: S126

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