New fast detection method of forest fire monitoring and application based on FY-1D/MVISR data

文献类型： 外文期刊

第一作者： Feng, Jianzhong

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

作者机构：

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

期刊名称：COMPUTER AND COMPUTING TECHNOLOGIES IN AGRICULTURE, VOL 1

ISSN： 1571-5736

年卷期： 2008 年 258 卷

页码：

收录情况： SCI

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.

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