| Literature DB >> 33414567 |
Matteo Ottaviani1,2, Robert Foster1,3, Alexander Gilerson1, Amir Ibrahim4,5, Carlos Carrizo1, Ahmed El-Habashi1, Brian Cairns2, Jacek Chowdhary2,6, Chris Hostetler7, Johnathan Hair7, Sharon Burton7, Yongxiang Hu7, Michael Twardowski8, Nicole Stockley8, Deric Gray3, Wayne Slade9, Ivona Cetinic4,5.
Abstract
Comprehensive polarimetric closure is demonstrated using observations from two in-situ polarimeters and Vector Radiative Transfer (VRT) modeling. During the Ship-Aircraft Bio-Optical Research (SABOR) campaign, the novel CCNY HyperSAS-POL polarimeter was mounted on the bow of the R/V Endeavor and acquired hyperspectral measurements from just above the surface of the ocean, while the NASA GISS Research Scanning Polarimeter was deployed onboard the NASA LaRC's King Air UC-12B aircraft. State-of-the-art, ancillary measurements were used to characterize the atmospheric and marine contributions in the VRT model, including those of the High Spectral Resolution Lidar (HSRL), the AErosol RObotic NETwork for Ocean Color (AERONET-OC), a profiling WETLabs ac-9 spectrometer and the Multi-spectral Volume Scattering Meter (MVSM). An open-ocean and a coastal scene are analyzed, both affected by complex aerosol conditions. In each of the two cases, it is found that the model is able to accurately reproduce the Stokes components measured simultaneously by each polarimeter at different geometries and viewing altitudes. These results are mostly encouraging, considering the different deployment strategies of RSP and HyperSAS-POL, which imply very different sensitivities to the atmospheric and ocean contributions, and open new opportunities in above-water polarimetric measurements. Furthermore, the signal originating from each scene was propagated to the top of the atmosphere to explore the sensitivity of polarimetric spaceborne observations to changes in the water type. As expected, adding polarization as a measurement capability benefits the detection of such changes, reinforcing the merits of the full-Stokes treatment in modeling the impact of atmospheric and oceanic constituents on remote sensing observations.Entities:
Keywords: Aerosol Remote Sensing; Ocean Color; Polarization; Vector Radiative Transfer
Year: 2018 PMID: 33414567 PMCID: PMC7787256 DOI: 10.1016/j.rse.2017.12.015
Source DB: PubMed Journal: Remote Sens Environ ISSN: 0034-4257 Impact factor: 10.164