利用Himawari-8数据监测森林火情初探

Application of Himawari-8 Data in Monitoring Forest Fire

以2015年10月15日印度尼西亚苏门答腊岛森林火灾为例,探索通过云水检测、潜在火点提取、太阳耀斑剔除、背景窗口确定等步骤,利用新一代地球同步气象卫星——Himawari-8卫星数据提取森林火灾火点的方法。在所研究的时空范围内,共提取Himawari-8火点10109个(有效时刻数142个),单一时刻火点数最高为267个(当地时间03:40)。通过对时空分布的定量化比较发现,与相应时刻的MODIS火点相比,所提取的Himawari-8火点数量较少,空间分布更分散,但二者的空间分布在总体上非常相似,且所提取的Himawari-8火点空间分布及数量特征与Himawari-8真彩色图反映的森林火情较为吻合,说明利用该方法提取的Himawari-8火点可以较好地反映森林火情,能够为森林火灾监测提供有效信息。

Taking the forest fire in Sumatra,Indonesia on October 15,2015 as an example,method to extract forest fire hotspots using the new-generation geostationary satellite―Himawari-8 data was explored via clear sky analysis,potential fire pixel identification,sunglint test and background analysis.Within the temporal and spatial range of this study,10109 Himawari-8 hotspots were extracted in all(142 significant instants),and the maximum number of hotspots for a single moment was 267(03:40LT).Through quantitative comparison of time-space distributions,it was found that compared with MODIS hotspots,hotspots derived from Himawari-8 data were of smaller amount and more dispersed spatial distribution.However,two kinds of hotspots were very similar in overall spatial distribution.The characteristics of spatial distribution and quantity of Himawari-8 hotspots were consistent with fire information reflected by the true-color image of Himawari-8.In general,extracted Himawari-8 hotspots could well reflect the information of forest fire and provide useful information in forest fire mornitoring.