The present invention discloses a method for correcting the angular effect of
remote sensing surface temperature based on an
emissivity kernel-driven model. The method comprises the following steps: S1, constructing a directional
emissivity model based on a parameter kernel-driven model, collecting data from a study area and inputting it into the directional
emissivity model to calculate the directional emissivity; S2, collecting
atmospheric profile data to obtain channel atmospheric parameters for two channels, band 31 and band 32; grouping the data using a grouping scheme and obtaining the channel on-board
brightness temperature; S3, constructing a GSW
algorithm model to construct a coefficient
lookup table for multiple grouping conditions; S4, combining the directional emissivity, the observed
zenith angle, the
atmospheric water vapor content, and the
brightness temperature, traversing and extracting the
split window coefficients for the corresponding grouping from the coefficient
lookup table, and inverting and calculating the surface temperature of each pixel in the study area using the GSW
algorithm model. The present invention innovatively obtains the directional emissivity and constructs a coefficient
lookup table for the grouping condition, thereby obtaining the surface temperature (LST) for each pixel, thereby improving the accuracy of the surface temperature (LST) data product.