Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific
The subarctic northeast Pacific (SNEP) is a high-nitrate, low-chlorophyll (HNLC) region in the ocean, where phytoplankton growth and productivity are limited by iron. Moreover, there is a limited application of high spatial (300 m) and temporal resolution (daily) ocean color (OC) satellite imagery i...
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MDPI AG
2023
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ftdoajarticles:oai:doaj.org/article:e0d5c7bc4dce4241ad721b242ec8de87 2023-07-30T04:07:09+02:00 Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific Perumthuruthil Suseelan Vishnu Maycira Costa 2023-06-01T00:00:00Z https://doi.org/10.3390/rs15133244 https://doaj.org/article/e0d5c7bc4dce4241ad721b242ec8de87 EN eng MDPI AG https://www.mdpi.com/2072-4292/15/13/3244 https://doaj.org/toc/2072-4292 doi:10.3390/rs15133244 2072-4292 https://doaj.org/article/e0d5c7bc4dce4241ad721b242ec8de87 Remote Sensing, Vol 15, Iss 3244, p 3244 (2023) northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15133244 2023-07-16T00:34:46Z The subarctic northeast Pacific (SNEP) is a high-nitrate, low-chlorophyll (HNLC) region in the ocean, where phytoplankton growth and productivity are limited by iron. Moreover, there is a limited application of high spatial (300 m) and temporal resolution (daily) ocean color (OC) satellite imagery in studying the phytoplankton dynamics in this region. To address this issue, we aim to validate the remote sensing reflectance (Rrs; sr −1 (λ)) and chlorophyll-a (Chla) concentration derived from the Polymer atmospheric correction algorithm against in situ data for the SNEP obtained during 2019 and 2020. Additionally, we performed qualitative analysis using weekly binned surface Chla maps to determine whether the product reflects the general pattern over a latitudinal and longitudinal domain. We processed the daily Level-1 image using Polymer and binned them weekly using Graphic Processing Tool (GPT). The validation results indicate that Polymer exhibits higher radiometric performance in the blue and green bands and fails to represent in situ Rrs in the red band. Furthermore, the Polymer slightly over- and underestimates reflectance between 0.0012 and 0.0018 sr −1 in the green band. On the other hand, excellent agreement was found between satellite-derived versus in situ Chla, followed by a slight overestimation of in situ Chla in the range from 0.17 to 0.28 mg/m 3 . The weekly binned Chla spatial map revealed a spatially homogeneous distribution of surface Chla in Central Alaska, but a substantial increase in Chla (≥0.7 mg/m 3 ) was recorded toward Southeast Alaska (SEA) and the British Columbia (BC) shelf. Furthermore, Chla derived from latitudinal and longitudinal transects indicates high Chla toward 57°N and −135°W, respectively. Overall, the results of this study emphasize the need to obtain high-quality matchups from under-sampled oligotrophic waters, which are crucial for satellite validation, in addition to highlighting the importance of using high spatial and temporal resolution satellite imagery to study ... Article in Journal/Newspaper Subarctic Alaska Directory of Open Access Journals: DOAJ Articles Pacific Remote Sensing 15 13 3244 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Science Q |
spellingShingle |
northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Science Q Perumthuruthil Suseelan Vishnu Maycira Costa Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
topic_facet |
northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Science Q |
description |
The subarctic northeast Pacific (SNEP) is a high-nitrate, low-chlorophyll (HNLC) region in the ocean, where phytoplankton growth and productivity are limited by iron. Moreover, there is a limited application of high spatial (300 m) and temporal resolution (daily) ocean color (OC) satellite imagery in studying the phytoplankton dynamics in this region. To address this issue, we aim to validate the remote sensing reflectance (Rrs; sr −1 (λ)) and chlorophyll-a (Chla) concentration derived from the Polymer atmospheric correction algorithm against in situ data for the SNEP obtained during 2019 and 2020. Additionally, we performed qualitative analysis using weekly binned surface Chla maps to determine whether the product reflects the general pattern over a latitudinal and longitudinal domain. We processed the daily Level-1 image using Polymer and binned them weekly using Graphic Processing Tool (GPT). The validation results indicate that Polymer exhibits higher radiometric performance in the blue and green bands and fails to represent in situ Rrs in the red band. Furthermore, the Polymer slightly over- and underestimates reflectance between 0.0012 and 0.0018 sr −1 in the green band. On the other hand, excellent agreement was found between satellite-derived versus in situ Chla, followed by a slight overestimation of in situ Chla in the range from 0.17 to 0.28 mg/m 3 . The weekly binned Chla spatial map revealed a spatially homogeneous distribution of surface Chla in Central Alaska, but a substantial increase in Chla (≥0.7 mg/m 3 ) was recorded toward Southeast Alaska (SEA) and the British Columbia (BC) shelf. Furthermore, Chla derived from latitudinal and longitudinal transects indicates high Chla toward 57°N and −135°W, respectively. Overall, the results of this study emphasize the need to obtain high-quality matchups from under-sampled oligotrophic waters, which are crucial for satellite validation, in addition to highlighting the importance of using high spatial and temporal resolution satellite imagery to study ... |
format |
Article in Journal/Newspaper |
author |
Perumthuruthil Suseelan Vishnu Maycira Costa |
author_facet |
Perumthuruthil Suseelan Vishnu Maycira Costa |
author_sort |
Perumthuruthil Suseelan Vishnu |
title |
Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
title_short |
Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
title_full |
Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
title_fullStr |
Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
title_full_unstemmed |
Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific |
title_sort |
evaluating the performance of sentinel-3a olci products in the subarctic northeast pacific |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15133244 https://doaj.org/article/e0d5c7bc4dce4241ad721b242ec8de87 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Subarctic Alaska |
genre_facet |
Subarctic Alaska |
op_source |
Remote Sensing, Vol 15, Iss 3244, p 3244 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/13/3244 https://doaj.org/toc/2072-4292 doi:10.3390/rs15133244 2072-4292 https://doaj.org/article/e0d5c7bc4dce4241ad721b242ec8de87 |
op_doi |
https://doi.org/10.3390/rs15133244 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
13 |
container_start_page |
3244 |
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1772820288765952000 |