Effect of radio-frequency interference on the retrieval of land surface temperature from microwave radiation imager
Ying WU, Sulin JIANG, Zhenhui WANG
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/ Joint International Research Laboratory of Climate and Environment Change (ILCEC)/ Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
Radio-frequency interference (RFI) over European land was detected and analyzed using convergence metric of one dimensional variational retrieval (1D-VAR) method and then its influence on the retrieval of land surface temperature (LST) was studied based on FY-3B microwave radiation imager (MWRI) Level 1 measurements conducted. Next, two linear regression equations were proposed to correct RFI-contaminated MWRI data. By comparing the retrieved LST products through 1D-VAR method from MWRI measurements before and after RFI correction, it was found that the convergence metric of 1D-VAR analyzing RFI identification method was effective for the observations over the land. Moreover, retrieved LST which were interfered by RFI were abnormally high with large deviations. And the RFI correction algorithm was used effec tively to improve the inversion precision and the utilization ratio of microwave data. Therefore, it is necessary to effectively identify and correct RFI prior to low-frequency observations with spaceborne microwave imagers to retrieve LST.
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Ying WU, Sulin JIANG, Zhenhui WANG. Effect of radio-frequency interference on the retrieval of land surface temperature from microwave radiation imager. Remote Sensing for Land & Resources, 2018, 30(4): 90-96.
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