被动微波遥感从亮度温度反演土壤水分

Bikramjit Goswami, Rittika Bezbaruah, Lige Kato, P. Kalita, Sukanya Dutta, Manoranjan Kalita
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引用次数: 2

摘要

土壤湿度数据通常是微波遥感卫星的衍生产品。然而,亮度温度(tb)是与微波范围内的卫星相关的基本量,是所有MRS卫星的共同数据产品。本文尝试开发一种直接从先进微波扫描辐射计对地观测(AMSR-E)系统获得的T - b值中检索SM信息的算法。对tb和SM数据进行了分析,以找到从tb到SM转换的最合适的频段和极化。在来自卫星的所有频率中,发现水平极化的6 GHz频率的T - b值最适合于SM检索。结果表明,所设计的算法适用于任意季节的T - b到SM转换。关键词:微波遥感,土壤湿度,AMSR-E,亮度温度,无源传感器
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil Moisture Retrieval from Brightness Temperature using Passive Microwave Remote Sensing
Soil Moisture (SM) data are often a derived product of Microwave Remote Sensing (MRS) satellites. The brightness temperature (T b ) however, is a basic quantity associated with the satellites in the Microwave range and is available as a common data product from all MRS satellites. In this paper an attempt has been made to develop an algorithm to retrieve SM information directly from the T b values obtained from the Advanced Microwave Scanning Radiometer on Earth Observing (AMSR-E) System. Analysis of T b and SM data is done to find the most suitable frequency band and polarization at which the conversion from T b to SM is possible. Out of all the frequencies from the satellite, the T b values at 6 GHz frequency with horizontal polarization have been found to be most suitable for SM retrieval. The algorithm designed is found to be applicable for T b to SM conversion for any season. Keywords : Microwave remote sensing, soil moisture, AMSR-E, brightness temperature, passive sensors.
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