基于MODIS数据的大气水汽反演算法研究

Research on Water-vapor Retrieving Algorithm Based on MODIS Data

水汽是天气变化的主要动力因素之一,同时大气中的水汽含量也是影响遥感应用的主要因素之一。介绍了MODIS近红外二通道比值法和三通道比值法反演大气水汽的思想,对反演算法的过程进行了推导和分析,并结合实例进行了总结和讨论。通过融合已有的两种水汽反演算法,较好地解决了利用NASA文档对水汽加权平均所遇到的问题,取得了较好的实验效果,对降水产品的生产具有一定的实际意义。

Water-vapor in the atmosphere is one of the major factors which affect the weather changing and the application of remote sensing. This paper introduces theories of two-channel and three-channel ratio methods for retrieving water-vapor. Detailed analysis and results are given in this paper. Two retrieving ideas are mixed and a better solution to the weighted average problem is given using the NASA document. Good results are achieved and may have some guidance on precipitation production practically.