Deriving anisotropic correction for upwelling radiance from PACE's multi-angle polarimetry

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES Remote Sensing of Environment Pub Date : 2025-02-18 DOI:10.1016/j.rse.2025.114647
Xiaodong Zhang , Meng Gao , Shuangyan He , Lucas Barbedo
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引用次数: 0

Abstract

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 (χp) is derived from the multi-angle observation of HARP2. The derived χp 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 χp 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.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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