新一代极轨气象卫星FY3A-VIRR数据的地表火监测算法研究与评价

摘要

首先对新一代极轨气象卫星FY3-VIRR（可见光红外扫描辐射计）传感器热异常监测特性进行描述,比较了VIRR、AVHRR、MODIS三个传感器的4μm通道光谱响应特征,给出VIRR数据定标计算和几何校正的算法,在分析VIRR传感器热异常监测特性的基础上,给出考虑像元背景亮温的火点识别算法,经过试验得到云识别和火点检测参考阙值,利用2009年6月发生在关中地区的秸秆焚烧火点对该算法进行验证,并给出使用同样算法的MODIS卫星监测结果的比较,在选定的个例中VIRR火点识别能力要优于MODIS卫星数据。%In this paper,we first examine the characters of FY3-VIRR data and their application in monitoring the surface thermal anomaly pixels.Further,the response characteristics at 4μm of VIRR,AVHRR and MODIS are compared,and the calibration and calculating algorithm of VIRR is presented.We proceed to propose the method of monitoring thermal anomaly pixels using VIRR data,for which the background temperature is considered.The reasonability this method is validated by the data of biomass burning occurred in June 2006.It is finally concluded that the thermal anomaly detection capability of VIRR data at 4μm is superior to MODIS data in selected cases.