Error Sources in Remote Sensing of Microwave Land Surface Emissivity

被引:31
作者
Yang, Hu [1 ]
Weng, Fuzhong [2 ]
机构
[1] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
[2] Natl Ocean & Atmospher Adm, Ctr Satellite Applicat & Res, Natl Environm Satellite,Data & Informat Serv, Camp Springs, MD 20746 USA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2011年 / 49卷 / 09期
基金
美国国家科学基金会;
关键词
Microwave radiometer; surface emissivity; WEATHER PREDICTION MODELS; SATELLITE DATA ASSIMILATION; AMSR-E; RADIOFREQUENCY INTERFERENCE; ALGORITHMS;
D O I
10.1109/TGRS.2011.2125794
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The retrieval of land surface emissivity from satellite passive microwave measurements often requires the knowledge of various radiative components (e.g., atmospheric upwelling and downwelling radiation) contributed to the measurements. Under a cloud-free condition, atmospheric and surface radiative components can be derived from atmospheric temperature and water vapor, and surface temperature data. Thus, the quality of these auxiliary data sets directly affects the emissivity accuracy. From an emission-based radiative transfer equation, a set of relationships is derived to study the sensitivity of surface emissivity to the errors of brightness temperature, atmospheric transmittance, and surface temperature. As an example, the uncertainties in the Advanced Microwave Scanning Radiometer-Earth Observing System emissivity at 23 and 89 GHz may be much larger than the uncertainties of emissivity at lower frequencies due to the higher uncertainties in computing the water vapor absorption. The error in the land surface temperature is a main source of error in emissivity at the frequencies less than 19 GHz.
引用
收藏
页码:3437 / 3442
页数:6
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