先进微波探测器资料反演地表微波辐射率试验  

Retrieval of land surface microwave emissivity by using satellite-borne AMSU data

作　　者：谷松岩[1] 邱红[1] 张文建[2] 

机构地区：[1]北京大学物理学院大气科学系,北京100871 [2]国家卫星气象中心,北京100081

出　　处：《电波科学学报》2004年第4期452-457,共6页Chinese Journal of Radio Science

基　　金：国家重点基础研究项目资助 (2 0 0 1CB30 94 0 2 )

摘　　要：利用美国环境卫星A型先进微波探测器AMSU A资料反演中国陆地区域地表微波辐射率。通过辐射传输正演模拟 ,提出了AMSU A窗区通道反演地表微波辐射率的指数分析方法。利用模拟数据对比了指数分析方法和以往通道亮温组合方法。结果表明 :对于地表比较干燥的地区 ,指数分析的反演结果略优于通道亮温组合的反演结果。在此基础上利用IGBP(InternationalGeosphere BiosphereProgram)的地表分类数据 ,提取AMSU A像元裸土组分的面积百分比信息 ,并进一步应用于AMSU A像元裸土组分地表微波辐射率的反演试验 ,提高了反演精度 ,并可进一步应用于区域地表湿度信息提取和大气参数反演 ,以及AMSUIn the paper, retrieval of the terrain surface microwave emissivity from the remote sensing data of the AMSU-A is studied. Based upon radiative transfer simulation, the AI index is defined for emissivity retrieval. Comparisons of the AI and NESDIS's retrievals show that the AI retrieval is better than NESDIS, especially for the cases of high emissivity over 0.92. The effect of sub-pixels is also discussed. The bare soil percentage in one AMSU-A image pixel is derived from IGBP database. Making correction on the effect of sub-pixel scale, a better retrieval for the bare soil component can be obtained. The surface emissivity retrieval is applicable to application of atmosphere and land classification, and is of greatly helpful to numerical weather prediction.

关 键 词：先进微波探测器 地表微波辐射率 资料反演 AMSU-A 指数分析 IGBP 遥感信息 

分 类 号：TP722.6[自动化与计算机技术—检测技术与自动化装置]