To facilitate polarimetric remote sensing of the earth system, we develop a vector radiative transfer model, namely, Texas A&M University vector radiative transfer model (TAMU-VRTM), to simulate the propagation of polarized light in the atmosphere-ocean-land system (AOLS). The model includes a Jacobian computational model, which can efficiently compute the analytical first derivatives of the observables to all the model input. The TAMU-VRTM can be seamlessly incorporated into an inversion algorithm to retrieve the atmospheric, oceanic and land properties from the spaceborne radiometric and polarimetric observations. This presentation will illustrate the application of the model in spaceborne polarimetric remote sensing.
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