“This study has made significant progress in the field of satellite remote sensing. The research team proposed a method for extracting the microwave transmittance of adjacent pixel canopies based on the tau omega model of vegetation radiative transfer, and successfully applied it to satellite scale. Research has found that the forest canopy has an uncertain impact on passive microwave remote sensing snow depth inversion, but through forest radiation correction, the accuracy of snow depth inversion can be effectively improved. The semi empirical estimation model for forest transmittance established by the team has been validated, and the correlation between the inverted transmittance and the reference value is higher than 0.7, with a low root mean square error (RMSE). In addition, the study also found that after forest radiation correction, the correlation coefficient between high and low frequency brightness temperature difference and snow depth was significantly improved. This study not only provides a new solution for satellite remote sensing to invert snow depth, but also provides more accurate reference and support for snow depth monitoring in forest areas.”