Thermal infrared remote sensing mainly provides information on the radiation of the land surface

whereas passive m icrowave remote sensing can provide information on the radiation of vegetation and soil vertical structure. Therefore

the new a pproach

which combines the advantages of thermal infrared and passive microwave remote sensing

aims to improve inversion precision through the synergy inversion of vegetation and soil component temperature. In this paper

a comparative analysis is c omprehensively performed between the Emissivity and Scattering by Arbitrarily Inclined Leaves Model（ Easail） and the Microwave Emission and SCAttering Model（ MESCAM）. A unified scene of homogeneous crops is also constructed

wherein the parameters of the two models are divided into two categories: direct and indirect. The scene construction and Leaf Area Distribution（ LAD）function of the MESCAM model is modified. The microwave radiation brightness temperature is then computed by introducing component temperature variables into the MESCAM model. Therefore

a joint simulation model

United Easail Modified MESCAM model（ UEasmmes）

is constructed. The UEasmmes model is adopted to simulate the Directional Brightness Temperature（ DBT）over homogeneous corn. The sensibility differences of the component temperature

component emissivity

leaf area index

and LAD toward the thermal infrared and passive microwave DBT are analyzed in depth. The simulation results reveal the feasibility of retrieving component temperature by combining thermal infrared with microwave remote sensing. However

f urther research is needed to determine how to overcome the significant change in brightness temperature induced by canopy effective emissivity in the microwave domain owing to the change in component emissivity

LAI

or LAD and the interconvert between the thermal infrared surface temperature and the microwave equivalent temperature.