Evaluating the performance of Sentinel-3A OLCI products in the subarctic northeast Pacific

dc.contributor.authorVishnu, Perumthuruthil Suseelan
dc.contributor.authorCosta, Maycira
dc.date.accessioned2024-01-24T19:48:16Z
dc.date.available2024-01-24T19:48:16Z
dc.date.copyright2023en_US
dc.date.issued2023
dc.description.abstractThe 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 phytoplankton dynamics in the SNEP.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis research was funded by the NSERC NCE MEOPAR—Marine Environmental Observation, Prediction, and Response Network and the Canadian Space Agency (FAST 18FAVICB09). We would also like to acknowledge the International Year of Salmon for providing payment-in-kind financial support for the fieldwork.en_US
dc.identifier.citationVishnu, 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/rs15133244en_US
dc.identifier.urihttps://doi.org/10.3390/rs15133244
dc.identifier.urihttp://hdl.handle.net/1828/15858
dc.language.isoenen_US
dc.publisherRemote Sensingen_US
dc.subjectnortheast Pacific Ocean
dc.subjectphytoplankton
dc.subjectchlorophyll-a
dc.subjectocean color
dc.subjectremote sensing
dc.subjectOLCI Sentinel-3A
dc.subject.departmentDepartment of Geography
dc.titleEvaluating the performance of Sentinel-3A OLCI products in the subarctic northeast Pacificen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
vishnu_perumthuruthil_remote sens_2023.pdf
Size:
2.22 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description: