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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Published in:Remote Sensing
Main Authors: Perumthuruthil Suseelan Vishnu, Maycira Costa
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/rs15133244
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spelling ftmdpi:oai:mdpi.com:/2072-4292/15/13/3244/ 2023-08-20T04:10:03+02:00 Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific Perumthuruthil Suseelan Vishnu Maycira Costa agris 2023-06-23 application/pdf https://doi.org/10.3390/rs15133244 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs15133244 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 13; Pages: 3244 northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Text 2023 ftmdpi https://doi.org/10.3390/rs15133244 2023-08-01T10:35:21Z 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/m3. 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/m3) 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 ... Text Subarctic Alaska MDPI Open Access Publishing Pacific Remote Sensing 15 13 3244
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic northeast Pacific Ocean
phytoplankton
chlorophyll-a
ocean color
remote sensing
OLCI Sentinel-3A
spellingShingle northeast Pacific Ocean
phytoplankton
chlorophyll-a
ocean color
remote sensing
OLCI Sentinel-3A
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
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/m3. 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/m3) 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 Text
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 Multidisciplinary Digital Publishing Institute
publishDate 2023
url https://doi.org/10.3390/rs15133244
op_coverage agris
geographic Pacific
geographic_facet Pacific
genre Subarctic
Alaska
genre_facet Subarctic
Alaska
op_source Remote Sensing; Volume 15; Issue 13; Pages: 3244
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs15133244
op_rights https://creativecommons.org/licenses/by/4.0/
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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