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Article

Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea

1
Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK
2
College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
3
European Organisation for the Exploitation of Meteorological Satellites, Eumetsat Allee 1, 64295 Darmstadt, Germany
*
Author to whom correspondence should be addressed.
Academic Editors: Cédric Jamet and Jae-Hyun Ahn
Remote Sens. 2022, 14(1), 89; https://doi.org/10.3390/rs14010089
Received: 25 November 2021 / Revised: 17 December 2021 / Accepted: 22 December 2021 / Published: 25 December 2021
(This article belongs to the Special Issue Atmospheric Correction for Remotely Sensed Ocean Color Data)
Ocean colour (OC) remote sensing is an important tool for monitoring phytoplankton in the global ocean. In optically complex waters such as the Baltic Sea, relatively efficient light absorption by substances other than phytoplankton increases product uncertainty. Sentinel-3 OLCI-A, Suomi-NPP VIIRS and MODIS-Aqua OC radiometric products were assessed using Baltic Sea in situ remote sensing reflectance (Rrs) from ferry tracks ([email protected]) and at two Aerosol Robotic Network for Ocean Colour (AERONET-OC) sites from April 2016 to September 2018. A range of atmospheric correction (AC) processors for OLCI-A were evaluated. POLYMER performed best with <23 relative % difference at 443, 490 and 560 nm compared to in situ Rrs and 28% at 665 nm, suggesting that using this AC for deriving Chl a will be the most accurate. Suomi-VIIRS and MODIS-Aqua underestimated Rrs by 35, 29, 22 and 39% and 34, 22, 17 and 33% at 442, 486, 560 and 671 nm, respectively. The consistency between different AC processors for OLCI-A and MODIS-Aqua and VIIRS products was relatively poor. Applying the POLYMER AC to OLCI-A, MODIS-Aqua and VIIRS may produce the most accurate Rrs and Chl a products and OC time series for the Baltic Sea. View Full-Text
Keywords: Sentinel-3; OLCI; validation; remote sensing reflectance; atmospheric correction; Baltic Sea; MODIS-Aqua; Suomi-VIIRS Sentinel-3; OLCI; validation; remote sensing reflectance; atmospheric correction; Baltic Sea; MODIS-Aqua; Suomi-VIIRS
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MDPI and ACS Style

Tilstone, G.H.; Pardo, S.; Simis, S.G.H.; Qin, P.; Selmes, N.; Dessailly, D.; Kwiatkowska, E. Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea. Remote Sens. 2022, 14, 89. https://doi.org/10.3390/rs14010089

AMA Style

Tilstone GH, Pardo S, Simis SGH, Qin P, Selmes N, Dessailly D, Kwiatkowska E. Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea. Remote Sensing. 2022; 14(1):89. https://doi.org/10.3390/rs14010089

Chicago/Turabian Style

Tilstone, Gavin H., Silvia Pardo, Stefan G.H. Simis, Ping Qin, Nick Selmes, David Dessailly, and Ewa Kwiatkowska. 2022. "Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea" Remote Sensing 14, no. 1: 89. https://doi.org/10.3390/rs14010089

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