Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season

This study aimed to assess the applicability of global bio-optical algorithms for the estimation of chlorophyll-a (chl-a) concentration (C) and develop regional empirical bio-optical algorithms for estimating C and colored dissolved organic matter (CDOM) content (D) from ocean remote sensing reflect...

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Published in:Remote Sensing
Main Authors: Pavel A. Salyuk, Igor E. Stepochkin, Ekaterina B. Sokolova, Svetlana P. Pugach, Vasiliy A. Kachur, Irina I. Pipko
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
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Online Access:https://doi.org/10.3390/rs14225797
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spelling ftmdpi:oai:mdpi.com:/2072-4292/14/22/5797/ 2023-08-20T03:59:37+02:00 Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season Pavel A. Salyuk Igor E. Stepochkin Ekaterina B. Sokolova Svetlana P. Pugach Vasiliy A. Kachur Irina I. Pipko agris 2022-11-16 application/pdf https://doi.org/10.3390/rs14225797 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs14225797 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 22; Pages: 5797 chlorophyll-a colored dissolved organic matter remote sensed reflectance spectral response function hyperspectral multispectral band ratio index Anadyr Bay Anadyr River Text 2022 ftmdpi https://doi.org/10.3390/rs14225797 2023-08-01T07:22:33Z This study aimed to assess the applicability of global bio-optical algorithms for the estimation of chlorophyll-a (chl-a) concentration (C) and develop regional empirical bio-optical algorithms for estimating C and colored dissolved organic matter (CDOM) content (D) from ocean remote sensing reflectance spectra in the western part of the Bering Sea in the late summer period. The analysis took into account possible problems with the different relative contributions of phytoplankton and CDOM to water-leaving radiance and possible errors associated with the atmosphere correction procedure for ocean color satellite data. Shipborne remote sensing measurements obtained using an above-water hyperspectral ASD HandHeld spectroradiometer, satellite measurements collected via MODIS and VIIRS radiometers, and in situ measurements of C and D in seawater were used. The simulated values of the different multispectral satellite radiometers with daily or 2-day global coverage, obtained by applying the corresponding spectral response functions to ship hyperspectral data, were also analyzed. In this paper, a list of recommended regional bio-optical algorithms is presented. Recommendations are given depending on the possible quality of atmospheric correction and the purpose of use. To obtain more precise estimations of C, OC3/OC4-like algorithms should be used. If the atmosphere correction is poor, then use OC2-like algorithms in which spectral bands in the 476–539 nm range should be used to estimate C and bands near 443 nm to estimate D; however, in the last case, this will provide only the order of magnitude. To estimate more independent fields of C and D, it is necessary to use a spectral range of 501–539 nm for chl-a and bands near 412 nm in the case of modern satellite radiometers (e.g., OLCI or SGLI), for which this band is not the first. Additionally, we showed that global bio-optical algorithms can be applied with acceptable accuracy and similar recommendations. Text Anadyr Anadyr' Bering Sea MDPI Open Access Publishing Bering Sea Anadyr ENVELOPE(177.510,177.510,64.734,64.734) Anadyr’ ENVELOPE(176.233,176.233,64.882,64.882) Anadyr River ENVELOPE(177.924,177.924,64.489,64.489) Remote Sensing 14 22 5797
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic chlorophyll-a
colored dissolved organic matter
remote sensed reflectance
spectral response function
hyperspectral
multispectral
band ratio index
Anadyr Bay
Anadyr River
spellingShingle chlorophyll-a
colored dissolved organic matter
remote sensed reflectance
spectral response function
hyperspectral
multispectral
band ratio index
Anadyr Bay
Anadyr River
Pavel A. Salyuk
Igor E. Stepochkin
Ekaterina B. Sokolova
Svetlana P. Pugach
Vasiliy A. Kachur
Irina I. Pipko
Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
topic_facet chlorophyll-a
colored dissolved organic matter
remote sensed reflectance
spectral response function
hyperspectral
multispectral
band ratio index
Anadyr Bay
Anadyr River
description This study aimed to assess the applicability of global bio-optical algorithms for the estimation of chlorophyll-a (chl-a) concentration (C) and develop regional empirical bio-optical algorithms for estimating C and colored dissolved organic matter (CDOM) content (D) from ocean remote sensing reflectance spectra in the western part of the Bering Sea in the late summer period. The analysis took into account possible problems with the different relative contributions of phytoplankton and CDOM to water-leaving radiance and possible errors associated with the atmosphere correction procedure for ocean color satellite data. Shipborne remote sensing measurements obtained using an above-water hyperspectral ASD HandHeld spectroradiometer, satellite measurements collected via MODIS and VIIRS radiometers, and in situ measurements of C and D in seawater were used. The simulated values of the different multispectral satellite radiometers with daily or 2-day global coverage, obtained by applying the corresponding spectral response functions to ship hyperspectral data, were also analyzed. In this paper, a list of recommended regional bio-optical algorithms is presented. Recommendations are given depending on the possible quality of atmospheric correction and the purpose of use. To obtain more precise estimations of C, OC3/OC4-like algorithms should be used. If the atmosphere correction is poor, then use OC2-like algorithms in which spectral bands in the 476–539 nm range should be used to estimate C and bands near 443 nm to estimate D; however, in the last case, this will provide only the order of magnitude. To estimate more independent fields of C and D, it is necessary to use a spectral range of 501–539 nm for chl-a and bands near 412 nm in the case of modern satellite radiometers (e.g., OLCI or SGLI), for which this band is not the first. Additionally, we showed that global bio-optical algorithms can be applied with acceptable accuracy and similar recommendations.
format Text
author Pavel A. Salyuk
Igor E. Stepochkin
Ekaterina B. Sokolova
Svetlana P. Pugach
Vasiliy A. Kachur
Irina I. Pipko
author_facet Pavel A. Salyuk
Igor E. Stepochkin
Ekaterina B. Sokolova
Svetlana P. Pugach
Vasiliy A. Kachur
Irina I. Pipko
author_sort Pavel A. Salyuk
title Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
title_short Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
title_full Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
title_fullStr Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
title_full_unstemmed Developing and Using Empirical Bio-Optical Algorithms in the Western Part of the Bering Sea in the Late Summer Season
title_sort developing and using empirical bio-optical algorithms in the western part of the bering sea in the late summer season
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14225797
op_coverage agris
long_lat ENVELOPE(177.510,177.510,64.734,64.734)
ENVELOPE(176.233,176.233,64.882,64.882)
ENVELOPE(177.924,177.924,64.489,64.489)
geographic Bering Sea
Anadyr
Anadyr’
Anadyr River
geographic_facet Bering Sea
Anadyr
Anadyr’
Anadyr River
genre Anadyr
Anadyr'
Bering Sea
genre_facet Anadyr
Anadyr'
Bering Sea
op_source Remote Sensing; Volume 14; Issue 22; Pages: 5797
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs14225797
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14225797
container_title Remote Sensing
container_volume 14
container_issue 22
container_start_page 5797
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