Paper
3 January 2025 Local optimization of satellite ocean color algorithm using AERONET-OC in Ariake Bay
Author Affiliations +
Abstract
Local area optimizations of ocean color atmospheric correction were investigated for Global Change Observation Mission- Climate (GCOM-C)/Second-generation GLobal Imager (SGLI) observations in the north of Ariake Bay by using in-situ measurements of remote sensing reflectance (Rrs) by AERONET-OC on Ariake-Tower (33.104°N, 130.272°E, operated from 2018 to 2023): (1) dedicated vicarious calibration coefficients derived by Ariake-Tower 's Rrs, were applied to reduce bias error of the Rrs estimate; (2) the atmospheric correction (aerosol reflectance) look-up tables (LUTs) were modified by matching with Ariake-Tower 's Rrs statistically to reduce error dependencies on scattering angles and aerosol types; (3) viewing angle dependent error on Rrs was normalized statistically through a cross calibration with other sensor images; (4) the empirical red and Near-InfraRed (NIR) Rrs estimation was optimized by using inter-wavelength relationship in Ariake- Tower Rrs; and (5) aerosol absorption residuals (Δta) affecting on aerosol reflectance (ρa) and water-leaving reflectance (ρw) were estimate by fitting to the nearest day’s Ariake-Tower Rrs scene-by-scene, and extrapolating Δta to the surrounding several tens of kilometers. By the corrections of (1) to (4), root-mean-square difference (RMSD) from Ariake-Tower’s Rrs 443 nm could be reduced by about 20%. The direct adjustment (5) improves agreement with most of individual ship observation data, however, we have to take note that some cases apart from the Ariake-Tower became worse when Δta cannot be assumed to be constant according to its finer spatial scale than the distance. The point-by-point adjustment can be applied operationally when we can deploy in-situ continuous (sited or moored) Rrs measurements in the target area.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hiroshi Murakami, Taiga Nakayama, and Joji Ishizaka "Local optimization of satellite ocean color algorithm using AERONET-OC in Ariake Bay", Proc. SPIE 13264, Active and Passive Remote Sensing of Oceans, Seas, and Lakes, 1326403 (3 January 2025); https://doi.org/10.1117/12.3044623
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KEYWORDS
Mathematical optimization

Error analysis

Aerosols

Satellites

Reflectivity

Atmospheric corrections

Environmental monitoring

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