Transfer model to determine the above-water remote-sensing reflectance from the underwater remote-sensing ratio

  • Bi S
  • Röttgers R
  • Hieronymi M
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Abstract

Remote-sensing reflectance, R rs ( λ , θ , Δ ϕ , θ s ), contains the spectral color information of the water body below the sea surface and is a fundamental parameter to derive satellite ocean color products such as chlorophyll-a, diffuse light attenuation, or inherent optical properties. Water reflectance, i.e., spectral upwelling radiance, normalized by the downwelling irradiance, can be measured under- or above-water. Several models to extrapolate this ratio from underwater “remote-sensing ratio”, r rs ( λ ), to the above-water R rs , have been proposed in previous studies, in which the spectral dependency of water refractive index and off-nadir viewing directions have not been considered in detail. Based on measured inherent optical properties of natural waters and radiative transfer simulations, this study proposes a new transfer model to spectrally determine R rs from r rs for different sun-viewing geometries and environmental conditions. It is shown that, compared to previous models, ignoring spectral dependency leads to a bias of ∼2.4% at shorter wavelengths (∼400 nm), which is avoidable. If nadir-viewing models are used, the typical 40°-off nadir viewing geometry will introduce a difference of ∼5% in R rs estimation. When the solar zenith angle is higher than 60°, these differences of R rs have implications for the downstream retrievals of ocean color products, e.g., > 8% difference for phytoplankton absorption at 440 nm and >4% difference for backward particle scattering at 440 nm by the quasi-analytical algorithm (QAA). These findings demonstrate that the proposed r rs -to- R rs model is applicable to a wide range of measurement conditions and provides more accurate estimates of R rs than previous models.

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Bi, S., Röttgers, R., & Hieronymi, M. (2023). Transfer model to determine the above-water remote-sensing reflectance from the underwater remote-sensing ratio. Optics Express, 31(6), 10512. https://doi.org/10.1364/oe.482395

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