Comparative analysis of microwave brightness temperature data in Northeast China using AMSR-E and MWRI products |
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| Authors: | Lingjia Gu Kai Zhao Shuwen Zhang Shuang Zhang |
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| Institution: | (1) Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29, 1040 Wien, Austria;(2) European Centre for Medium-Range Weather Forecasts (ECMWF), Shinfield Park, Reading, RG2 9AX, United Kingdom;(3) Department of Hydrology and GeoEnvironmental Sciences, Vrije Universiteit Amsterdam, Amsterdam, De Boelelaan 1085, 1081 HV, The Netherlands;(4) Department of Geography, University of Salamanca, Salamanca, Cervantes 3, 37002, Spain |
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| Abstract: | With such significant advantages as all-day observation, penetrability and all-weather coverage, passive microwave remote
sensing technique has been widely applied in the research of global environmental change. As the satellite-based passive microwave
remote sensor, the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) loaded on NASA’s (National Aeronautics
and Space Administration of USA) Aqua satellite has been popularly used in the field of microwave observation. The Microwave
Radiation Imager (MWRI) loaded on the Chinese FengYun-3A (FY-3A) satellite is an AMSR-E-like conical scanning microwave sensor,
but there are few reports about MWRI data. This paper firstly proposed an optimal spatial position matching algorithm from
rough to exact for the position matching between AMSR-E and MWRI data, then taking Northeast China as an example, comparatively
analyzed the microwave brightness temperature data derived from AMSR-E and MWRI. The results show that when the antenna footprints
of the two sensors are filled with either full water, or full land, or mixed land and water with approximate proportion, the
errors of brightness temperature between AMSR-E and MWRI are usually in the range from −10 K to +10 K. In general, the residual
values of brightness temperature between the two microwave sensors with the same spatial resolution are in the range of ±3
K. Because the spatial resolution of AMSR-E is three times as high as that of MWRI, the results indicate that the quality
of MWRI data is better. The research can provide useful information for the MWRI data application and microwave unmixing method
in the future. |
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| Keywords: | AMSR-E MWRI FY-3A satellite brightness temperature spatial resolution spatial position matching Northeast China |
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