Abstract:There are spread radio-frequency interference (RFI) problems of the low-frequency observations of the spaceborne microwave imagers, e.g. AMSR-E (Advanced Microwave Scanning Radiometer). A modified principal component analysis method was used to identify RFI and then its influence on the retrieval of surface parameters was studied. Next, the AMSR-E data corrected by linear fitting correction of RFI were used to retrieve the surface parameters through 1D-Var method. By comparing the retrieved products (e.g., land surface temperature and surface rainfall rate) before and after RFI correction over the United States, it was found that retrieved land surface temperature and surface rainfall rate which were interfered by RFI were abnormally high and with large deviations. Therefore, it was necessary to effectively identify and correct RFI prior to low-frequency observations with spaceborne microwave imagers to retrieve land surface parameters or assimilate these observations. And the modified principal component analyzing RFI identification method and linear fitting RFI correction algorithm were effective for the observations over land.
张思勃, 官莉. AMSR-E观测资料干扰对反演地表参数的影响[J]. 中国环境科学, 2015, 35(1): 260-268.
ZHANG Si-Bo, GUAN Li. Effect of AMSR-E data interference on the retrieval of land surface parameters. CHINA ENVIRONMENTAL SCIENCECE, 2015, 35(1): 260-268.