Deriving anisotropic correction for upwelling radiance from PACE's multi-angle polarimetry
NASA's Plankton, Aerosol, Clouds, ocean Ecosystem (PACE) mission, launched on 8th February 2024, carries a hyperspectral radiometer, Ocean Color Instrument (OCI) and two multi-angle polarimeters, Hyper Angular Rainbow Polarimeter (HARP2) and Spectro-Polarimeter for Planetary Exploration one (SPEX-one). The simultaneous deployment of these sensors offers an unprecedented opportunity to derive more accurate bidirectional factors for correcting the Sun-sensor viewing dependence of the remote sensing reflectance derived from OCI. With a bidirectional remote sensing model based on quasi-single-scattering approximation to the radiative transfer equation, the angular shape of the volume scattering function (VSF) in backward directions, i.e., the χ factor for particles (χ p ) is derived from the multi-angle observation of HARP2. The derived χ p is in turn used to drive the bidirectional remote sensing model to predict the bidirectional factor. Testing with prelaunch simulated HARP2 L1C data that includes uncertainties due to atmospheric correction, the proposed method can estimate bidirectional factor with an uncertainty <10 % at any three visible bands of HARP2. Because the proposed method estimates the χ p directly from the multi-angle observation, it fully accounts for the natural variability of VSFs, which were assumed to confine within a limited range of variation in the earlier bidirectional correction models. • Angular backscattering causes Sun-viewing bidirectional variation in upwelling radiance. • Multi-angle observation by PACE's polarimeters provides an estimate of angular backscattering. • A model is developed to correct for bidirectional effect using the multi-angle observation.
Authors
- Lucas Barbedo
- Xiaodong Zhang
- Shuangyan He
- Meng Gao (ORCID: https://orcid.org/0000-0002-1091-1057)
Institutions
- Goddard Space Flight Center (US)
- Stennis Space Center (US)
- Zhejiang Ocean University (CN)
- Science Systems and Applications (United States) (US)
- University of Southern Mississippi (US)
- Zhejiang University (CN)
Publication Details
- Journal
- Remote Sensing of Environment
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1016/j.rse.2025.114647
- Citations
- 3
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 3.32
Funders
- National Aeronautics and Space Administration