Observational Tests of the Surface Reflectance Boundary Condition for Aerosol Retrievals using Multiangle Spectropolarimetric Imagery

Passive retrievals of aerosol properties from aircraft or satellite must account for surface reflection at the lower boundary. Future missions such as Aerosol-Cloud-Ecosystem (ACE) will use multiangular, multispectral, and polarimetric imagery for aerosol remote sensing. Interpreting such multidimensional measurements requires representing the aerosols by a set of optical and microphysical parameters and modeling the surface bidirectional reflectance distribution function (BRDF). We are developing a surface model represented by a matrix BRDF that describes both intensity and polarization. The BRDF is the sum of a depolarizing volumetric (diffuse) scattering term represented by the modified Rahman-Pinty-Verstraete (mRPV) function, and a specular reflection term corresponding to a distribution of tilted microfacets, each of which reflects according to the Fresnel laws. In order to limit the number of parameters that need to be retrieved, empirical constraints are placed on the surface reflection model, e.g., that the volumetric component can be written as the product of a function only of wavelength and a function only of illumination and view geometry and that the polarized surface reflectance is spectrally neutral. Validation of these assumptions is required to establish a successful surface reflectance model that can be used as part of the aerosol retrievals. The Ground-based and Airborne Multiangle SpectroPolarimetric Imagers (GroundMSPI and AirMSPI) are pushbroom cameras that use a novel dual-photoelastic modulator (PEM) design to measure the Stokes vector components I, Q, and U, degree of linear polarization (DOLP), and angle of linear polarization (AOLP) with high accuracy. Intensity bands are centered at 355, 380, 445, 555, 660, 865, and 935 nm, and polarization channels are at 470, 660, and 865 nm. GroundMSPI and AirMSPI data collected on clear days are being used to further develop and validate the parametric surface model. For GroundMSPI, time sequences of intensity and polarization imagery are acquired throughout the day, and motion of the Sun through the sky provides variable scattering angle. AirMSPI acquires multiangular imagery from the NASA ER-2 aircraft by pointing the camera at different angles using a motorized gimbal. In this paper, we will present examples of GroundMSPI and AirMSPI imagery and explore how well the parametric surface model is able to represent the measured intensity and polarization data.