Research on FY3D Land Surface Temperature Quality Assessment and Bias Correction Method
China's FY3D satellite time series is short,and climate business applications require long-term satellite remote sensing data sets,so it is difficult to use FY3D-related products alone for climate business applications.Based on the quality assessment of China's FY3D LST and MODIS LST,this study develops random forest bias correction algorithm to correct the FY3D LST product to the quality level of MODIS LST,and by constructing a long-term series product that integrates FY3D and MODIS LST,and its climate business application research is carried out.Experiments show that this method can effectively improve the closeness of FY3D LST and MODIS LST,and provide a technical method reference for the application of China's Fengyun satellite climate business.
万方数据
维普
