Radiometric Inter-Calibration of Microwave Imagers Over Homogeneous Warm Scene Targets

S. Datta, W. Linwood Jones
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Abstract

Conventional satellite intercalibration for microwave imaging radiometers involves a linear two-point calibration approach, over cold ocean scenes and warm ends of the scene brightness temperatures, traditionally over tropical rain forest. Unfortunately, this approach ignores the possibility of non-linear radiometer transfer function, which is often important. This paper discusses a new tool developed to identify large-scale homogeneous desert scenes as possible third calibration targets with brightness temperatures that fall between the conventional cold and warm earth scenes. Previously a prototype “ShowMask” procedure was developed over continental Australia using 10, 18 and 37 GHz Vertical and Horizontal polarized brightness temperatures from GPM Microwave Imager (GMI) data. This paper focus on extending this tool to global scale and including 89 GHz channel in the analysis. Further, by applying the mask, we examine intercalibration results over selected desert targets using GMI-TMI and GMI-AMSR-2 match-ups. Initial results indicate a scene temperature dependence of calibration factor particularly for horizontally polarized channels.
均匀热场景目标上微波成像仪的辐射互定标
传统的微波成像辐射计的卫星间定标包括一种线性两点定标方法,用于冷海洋场景和暖端场景的亮度温度,传统上用于热带雨林。不幸的是,这种方法忽略了非线性辐射计传递函数的可能性,而非线性传递函数通常很重要。本文讨论了开发的一种新工具,用于识别大尺度均匀沙漠场景作为可能的第三次校准目标,其亮度温度介于常规冷和暖地球场景之间。此前,在澳大利亚大陆开发了一个原型“ShowMask”程序,使用来自GPM微波成像仪(GMI)数据的10、18和37 GHz垂直和水平极化亮度温度。本文的重点是将该工具扩展到全球范围,并将89 GHz信道纳入分析范围。此外,通过应用掩模,我们使用GMI-TMI和GMI-AMSR-2匹配检查了选定沙漠目标的互校准结果。初步结果表明,校准因子对场景温度有依赖性,特别是对水平极化通道。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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