Research on the Generation Algorithm of Vegetation Remote Sensing Products across the World and Some Key Regions

We have conducted research on the data inversion algorithm for the remote sensing of land surface parameters and vegetation parameters, based on which, a model base that supports a wide range of remote sensing payloads has been established. Moreover, we have also developed the model and method of generating spatial information products concerning the vegetation parameters on national and global scales, such as land use, surface reflectance, vegetation phenology, leaf area index, chlorophyll fluorescence, and FPAR.