Abstract
AbstractVicarious calibration coefficients (kv) of Second-generation GLobal Imager (SGLI) for ocean color processing were derived using in-situ radiometric buoy measurements from the Marine Optical BuoY (MOBY) and the BOUée pour l'acquiSition d'une Série Optique à Long termE (BOUSSOLE). Two aerosol-model look up tables (LUTs) used in the GCOM-C aerosol retrieval algorithm (LUT-A) and in the previous version of ocean color atmospheric correction algorithm (LUT-B) were tested in the procedures to calculate kv and retrieve remote sensing reflectance (Rrs) and aerosol optical thickness (AOT). Bias of the processed Rrs compared to AERONET-OC Rrs was reduced by applying the determined kv (i.e., corrected SGLI radiance = original SGLI radiance/kv). LUT-A yielded smaller AOT bias compared to AERONET-OC AOT; on the other hand, LUT-B gave smaller Rrs noise due to gentle slope of the aerosol reflectance even though it caused AOT overestimation. When kv was derived by adjusting to the AOT measurements, kv was about 1.1 by LUT-A and 1.2 by LUT-B in the near-infrared (NIR) channel. However, the kv in the NIR channel was close to 1.0 when AOT and land surface reflectance measurements of Radiometric Calibration Network (RadCalNet) were used. The LUT-A with kv from MOBY and BOUSSOLE are currently adopted for the SGLI standard ocean color processing. Improvement is needed, however, to design an optimal LUT suitable for both aerosol and ocean color purposes.
Publisher
Springer Science and Business Media LLC
Reference56 articles.
1. Antoine D, Morel A (1999) A multiple scattering algorithm for atmospheric correction of remotely sensed ocean color (MERIS instrument): principle and implementation for atmospheres carrying various aerosols including absorbing ones. Int J Remote Sens 20(9):1875–1916. https://doi.org/10.1080/014311699212533
2. Antoine D, Chami M, Claustre H, D’Ortenzio F, Morel A, Bécu G, Gentili B, Louis F, Ras J, Roussier E, Scott AJ, Tailliez D, Hooker SB, Guevel P, Desté JF, Dempsey C, Adams D (2006) BOUSSOLE : a joint CNRS-INSU, ESA, CNES and NASA Ocean Color Calibration And Validation Activity. NASA Technical memorandum 2006–214147, NASA/GSFC, Greenbelt, MD, pp 61
3. Antoine D, D’Ortenzio F, Hooker SB, Bécu G, Gentili B, Tailliez D, Scott A (2008a) Assessment of uncertainty in the ocean reflectance determined by three satellite ocean color sensors (MERIS, SeaWiFS, MODIS) at an offshore site in the Mediterranean Sea (BOUSSOLE project). J Geophys Res 113:C07013. https://doi.org/10.1029/2007JC004472
4. Antoine D, Guevel P, Desté JF, Bécu G, Louis F, Scott AJ, Bardey P (2008b) The « BOUSSOLE » buoy—a new transparent-to-swell taut mooring dedicated to marine optics : design, tests and performance at sea. J Atmos Oceanic Tech 25:968–989. https://doi.org/10.1175/2007JTECHO563.1
5. Bouvet M, Thome K, Berthelot B, Bialek A, Czapla-Myers J, Fox NP, Goryl P, Henry P, Ma L, Marcq S, Meygret A, Wenny BN, Woolliams ER (2019) RadCalNet: a radiometric calibration network for earth observing imagers operating in the visible to shortwave infrared spectral range. Remote Sens 11:2401. https://doi.org/10.3390/rs11202401
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