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

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 a...

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Published in:Remote Sensing
Main Authors: Gavin H. Tilstone, Silvia Pardo, Stefan G. H. Simis, Ping Qin, Nick Selmes, David Dessailly, Ewa Kwiatkowska
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs14010089
https://doaj.org/article/e72336a4e4ec464ea649843cfbb984db
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spelling ftdoajarticles:oai:doaj.org/article:e72336a4e4ec464ea649843cfbb984db 2023-05-15T13:06:48+02:00 Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea Gavin H. Tilstone Silvia Pardo Stefan G. H. Simis Ping Qin Nick Selmes David Dessailly Ewa Kwiatkowska 2021-12-01T00:00:00Z https://doi.org/10.3390/rs14010089 https://doaj.org/article/e72336a4e4ec464ea649843cfbb984db EN eng MDPI AG https://www.mdpi.com/2072-4292/14/1/89 https://doaj.org/toc/2072-4292 doi:10.3390/rs14010089 2072-4292 https://doaj.org/article/e72336a4e4ec464ea649843cfbb984db Remote Sensing, Vol 14, Iss 89, p 89 (2021) Sentinel-3 OLCI validation remote sensing reflectance atmospheric correction Baltic Sea Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs14010089 2022-12-30T20:33:24Z 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 ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> ) from ferry tracks (Alg@line) 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 <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> 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 <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> 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 <math xmlns="http://www.w3.org/1998/Math/MathML" ... Article in Journal/Newspaper Aerosol Robotic Network Directory of Open Access Journals: DOAJ Articles Remote Sensing 14 1 89
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Sentinel-3
OLCI
validation
remote sensing reflectance
atmospheric correction
Baltic Sea
Science
Q
spellingShingle Sentinel-3
OLCI
validation
remote sensing reflectance
atmospheric correction
Baltic Sea
Science
Q
Gavin H. Tilstone
Silvia Pardo
Stefan G. H. Simis
Ping Qin
Nick Selmes
David Dessailly
Ewa Kwiatkowska
Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
topic_facet Sentinel-3
OLCI
validation
remote sensing reflectance
atmospheric correction
Baltic Sea
Science
Q
description 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 ( <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> ) from ferry tracks (Alg@line) 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 <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> 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 <math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mrow><mi>r</mi><mi>s</mi></mrow></msub></mrow></semantics></math> 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 <math xmlns="http://www.w3.org/1998/Math/MathML" ...
format Article in Journal/Newspaper
author Gavin H. Tilstone
Silvia Pardo
Stefan G. H. Simis
Ping Qin
Nick Selmes
David Dessailly
Ewa Kwiatkowska
author_facet Gavin H. Tilstone
Silvia Pardo
Stefan G. H. Simis
Ping Qin
Nick Selmes
David Dessailly
Ewa Kwiatkowska
author_sort Gavin H. Tilstone
title Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
title_short Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
title_full Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
title_fullStr Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
title_full_unstemmed Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea
title_sort consistency between satellite ocean colour products under high coloured dissolved organic matter absorption in the baltic sea
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs14010089
https://doaj.org/article/e72336a4e4ec464ea649843cfbb984db
genre Aerosol Robotic Network
genre_facet Aerosol Robotic Network
op_source Remote Sensing, Vol 14, Iss 89, p 89 (2021)
op_relation https://www.mdpi.com/2072-4292/14/1/89
https://doaj.org/toc/2072-4292
doi:10.3390/rs14010089
2072-4292
https://doaj.org/article/e72336a4e4ec464ea649843cfbb984db
op_doi https://doi.org/10.3390/rs14010089
container_title Remote Sensing
container_volume 14
container_issue 1
container_start_page 89
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