Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data
Our work’s primary goal is to reveal the problematic issues related to estimates of the colored organic matter absorption coefficient in the northern seas from data of the Ocean and Land Color Instrument (OLCI) installed on the Sentinel-3 satellites, e.g., a comparison of the OLCI standard error ass...
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ftmdpi:oai:mdpi.com:/2072-4292/12/19/3210/ 2023-08-20T04:04:36+02:00 Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data Dmitry Glukhovets Oleg Kopelevich Anna Yushmanova Svetlana Vazyulya Sergey Sheberstov Polina Karalli Inna Sahling agris 2020-10-01 application/pdf https://doi.org/10.3390/rs12193210 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs12193210 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 19; Pages: 3210 OLCI Sentinel-3 Barents Kara Sea absorption coefficient uncertainties field data Text 2020 ftmdpi https://doi.org/10.3390/rs12193210 2023-08-01T00:12:52Z Our work’s primary goal is to reveal the problematic issues related to estimates of the colored organic matter absorption coefficient in the northern seas from data of the Ocean and Land Color Instrument (OLCI) installed on the Sentinel-3 satellites, e.g., a comparison of the OLCI standard error assessment ADG443_NN_err relating to the measurement and the retrieval of the geophysical products and the uncertainties in the northern seas’ real situation. The natural conditions are incredibly unfavorable there, mainly due to frequent cloudiness and low sun heights. We conducted a comprehensive multi-sensor study of the uncertainties using various approaches. We directly compared the data from satellites (OLCI Sentinel-3 and four other ocean color sensors) and field measurements in five sea expeditions (2016–2019) using the different processing algorithms. Our analysis has shown that the final product’s real uncertainties are significantly (≥100%) higher than the calculated errors of the ADG443_NN_err (~10%). The main reason is the unsatisfactory atmospheric correction. We present the analysis of the various influential factors (satellite sensors, processing algorithms, and other parameters) and formulate future work goals. Text Arctic Kara Sea MDPI Open Access Publishing Arctic Kara Sea The Sentinel ENVELOPE(73.317,73.317,-52.983,-52.983) Remote Sensing 12 19 3210 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
OLCI Sentinel-3 Barents Kara Sea absorption coefficient uncertainties field data |
spellingShingle |
OLCI Sentinel-3 Barents Kara Sea absorption coefficient uncertainties field data Dmitry Glukhovets Oleg Kopelevich Anna Yushmanova Svetlana Vazyulya Sergey Sheberstov Polina Karalli Inna Sahling Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
topic_facet |
OLCI Sentinel-3 Barents Kara Sea absorption coefficient uncertainties field data |
description |
Our work’s primary goal is to reveal the problematic issues related to estimates of the colored organic matter absorption coefficient in the northern seas from data of the Ocean and Land Color Instrument (OLCI) installed on the Sentinel-3 satellites, e.g., a comparison of the OLCI standard error assessment ADG443_NN_err relating to the measurement and the retrieval of the geophysical products and the uncertainties in the northern seas’ real situation. The natural conditions are incredibly unfavorable there, mainly due to frequent cloudiness and low sun heights. We conducted a comprehensive multi-sensor study of the uncertainties using various approaches. We directly compared the data from satellites (OLCI Sentinel-3 and four other ocean color sensors) and field measurements in five sea expeditions (2016–2019) using the different processing algorithms. Our analysis has shown that the final product’s real uncertainties are significantly (≥100%) higher than the calculated errors of the ADG443_NN_err (~10%). The main reason is the unsatisfactory atmospheric correction. We present the analysis of the various influential factors (satellite sensors, processing algorithms, and other parameters) and formulate future work goals. |
format |
Text |
author |
Dmitry Glukhovets Oleg Kopelevich Anna Yushmanova Svetlana Vazyulya Sergey Sheberstov Polina Karalli Inna Sahling |
author_facet |
Dmitry Glukhovets Oleg Kopelevich Anna Yushmanova Svetlana Vazyulya Sergey Sheberstov Polina Karalli Inna Sahling |
author_sort |
Dmitry Glukhovets |
title |
Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
title_short |
Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
title_full |
Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
title_fullStr |
Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
title_full_unstemmed |
Evaluation of the CDOM Absorption Coefficient in the Arctic Seas Based on Sentinel-3 OLCI Data |
title_sort |
evaluation of the cdom absorption coefficient in the arctic seas based on sentinel-3 olci data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/rs12193210 |
op_coverage |
agris |
long_lat |
ENVELOPE(73.317,73.317,-52.983,-52.983) |
geographic |
Arctic Kara Sea The Sentinel |
geographic_facet |
Arctic Kara Sea The Sentinel |
genre |
Arctic Kara Sea |
genre_facet |
Arctic Kara Sea |
op_source |
Remote Sensing; Volume 12; Issue 19; Pages: 3210 |
op_relation |
Ocean Remote Sensing https://dx.doi.org/10.3390/rs12193210 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs12193210 |
container_title |
Remote Sensing |
container_volume |
12 |
container_issue |
19 |
container_start_page |
3210 |
_version_ |
1774714984210628608 |