MODIS和HJ-1B资料在江苏大雾监测中的应用

Application of MODIS and HJ-1B Data on Monitoring Fog in Jiangsu Province

雾是一种常见的天气现象,雾的遥感监测是近年来的热点之一。利用多种卫星资料实现雾的监测和预警工作,对于环境保护、灾害评估等具有重要的意义。根据云、雾及下垫面在可见光、中红外和热红外波段的光谱特性差异,结合EOS-MODIS数据特点和HJ-1B传感器波段设置等,利用多通道阈值法分别对2013年1月24日江苏省一次雾天过程不同生长阶段的雾进行雾区监测,并分别结合地面实测数据对两种数据源的监测结果进行精度检测。结果发现:对此次雾的两个生长阶段的雾区监测,MODIS数据监测的结果总体精度为80.28%,HJ-1B数据的监测结果总体精度为91.04%,两者监测效果均比较理想,HJ-1B数据可作为雾监测的一种可靠资料来源。

Fog is a frequent weather phenomenon. Fog monitoring by remote sensing is one of the hot spots in recent years. Fog monitoring and early warning by multiple satellite data is of important significance for environmental protection and disaster evaluation. Cloud, fog and underlying surface have different spectral characteristics in visible and infrared channels. According to the data features of EOS - MODIS and band setting of HJ - 1 B, multi-channel threshold method was used to detect the fog in different stages in Jiangsu province on January 24, 2013. For the fog in different growth stages, monitoring results from satellite data were compared and examined with the ground observations. It is found that the o- verall accuracy of MODIS is 80.28% , and that of HJ - 1B data is 91.04%. The two are both ideal, while HJ - 1B data can be a reliable data source for fog monitoring.