利用改进型MODIS火点探测算法实现河北省秸秆焚烧火点识别

为准确地了解河北省秸秆焚烧火点的空间分布,为秸秆焚烧监测的实现、禁烧工作的开展、环境质量改善提供支持.基于MODIS L1B数据、MODIS标准火点产品MOD14、全国秸秆焚烧火点日报数据为基础,采用改进型MODIS火灾探测算法,并通过IDL语言实现,得到秸秆焚烧火点空间分布信息,并进行空间与定量精度分析.研究表明:火点大部分位于河北省南部的一些地区,其中尤以邢台、石家庄、邯郸火点数量最为突出;该算法运算速度快,获取的秸秆焚烧火点数据具有一定检测精度和可靠性,对秸秆焚烧的监测具有一定的实用价值.

Realization of straw incineration fire point identification in Hebei Province by improved MODIS fire point detection algorithm

Accurately understanding the spatial distribution of straw burning points in Hebei province, we can provide support for the realization of straw burning monitoring, the development of banned burning work and the improvement of environmental quality. Based on MODIS L1B data, MODIS standard fire point product MOD14, and national straw burning fire point daily report data, the improved MODIS fire detection algorithm is adopted, and the IDL language is used to obtain the space segmentation information of straw burning fire point, and space and Quantitative accuracy analysis. The research shows that the fire point is mainly concentrated in the southern part of Hebei Province, especially Xiangtan, Shijiazhuang, and the number of cockroaches; the algorithm is fast, and the obtained straw burning point data has certain detection accuracy and reliability, and the monitoring of straw burning has certain practical.