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: Vishnu, Perumthuruthil Suseelan, Costa, Marcira
Format: Article in Journal/Newspaper
Language:English
Published: Remote Sensing 2023
Subjects:
Online Access:http://hdl.handle.net/1828/15858
https://doi.org/10.3390/rs15133244
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record_format openpolar
spelling ftuvicpubl:oai:dspace.library.uvic.ca:1828/15858 2024-02-27T08:45:46+00:00 Evaluating the performance of Sentinel-3A OLCI products in the subarctic northeast Pacific Vishnu, Perumthuruthil Suseelan Costa, Marcira 2023 application/pdf http://hdl.handle.net/1828/15858 https://doi.org/10.3390/rs15133244 en eng Remote Sensing Vishnu, P. S., & Costa, M. (2023). Evaluating the performance of Sentinel-3A OLCI products in the subarctic northeast Pacific. Remote Sensing, 15(13), 3244. https://doi.org/10.3390/rs15133244 https://doi.org/10.3390/rs15133244 http://hdl.handle.net/1828/15858 northeast Pacific Ocean phytoplankton chlorophyll-a ocean color remote sensing OLCI Sentinel-3A Article 2023 ftuvicpubl https://doi.org/10.3390/rs15133244 2024-01-31T00:47:26Z 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 ... Article in Journal/Newspaper Subarctic Alaska University of Victoria (Canada): UVicDSpace Pacific Remote Sensing 15 13 3244
institution Open Polar
collection University of Victoria (Canada): UVicDSpace
op_collection_id ftuvicpubl
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
Vishnu, Perumthuruthil Suseelan
Costa, Marcira
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 Article in Journal/Newspaper
author Vishnu, Perumthuruthil Suseelan
Costa, Marcira
author_facet Vishnu, Perumthuruthil Suseelan
Costa, Marcira
author_sort Vishnu, Perumthuruthil Suseelan
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 Remote Sensing
publishDate 2023
url http://hdl.handle.net/1828/15858
https://doi.org/10.3390/rs15133244
geographic Pacific
geographic_facet Pacific
genre Subarctic
Alaska
genre_facet Subarctic
Alaska
op_relation Vishnu, P. S., & Costa, M. (2023). Evaluating the performance of Sentinel-3A OLCI products in the subarctic northeast Pacific. Remote Sensing, 15(13), 3244. https://doi.org/10.3390/rs15133244
https://doi.org/10.3390/rs15133244
http://hdl.handle.net/1828/15858
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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