{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T11:16:16Z","timestamp":1772190976747,"version":"3.50.1"},"reference-count":95,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2023,6,23]],"date-time":"2023-06-23T00:00:00Z","timestamp":1687478400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSERC NCE MEOPAR\u2014Marine Environmental Observation, Prediction, and Response Network and the Canadian Space Agency","award":["FAST 18FAVICB09"],"award-info":[{"award-number":["FAST 18FAVICB09"]}]},{"name":"International Year of Salmon","award":["FAST 18FAVICB09"],"award-info":[{"award-number":["FAST 18FAVICB09"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u22121(\u03bb)) 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\u22121 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 (\u22650.7 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\u00b0N and \u2212135\u00b0W, 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.<\/jats:p>","DOI":"10.3390\/rs15133244","type":"journal-article","created":{"date-parts":[[2023,6,26]],"date-time":"2023-06-26T03:14:56Z","timestamp":1687749296000},"page":"3244","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Evaluating the Performance of Sentinel-3A OLCI Products in the Subarctic Northeast Pacific"],"prefix":"10.3390","volume":"15","author":[{"given":"Perumthuruthil Suseelan","family":"Vishnu","sequence":"first","affiliation":[{"name":"SPECTRAL Remote Sensing Laboratory, Department of Geography, University of Victoria, Victoria, BC V8P 5C2, Canada"}]},{"given":"Maycira","family":"Costa","sequence":"additional","affiliation":[{"name":"SPECTRAL Remote Sensing Laboratory, Department of Geography, University of Victoria, Victoria, BC V8P 5C2, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2023,6,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1126\/science.281.5374.237","article-title":"Primary Production of the Biosphere: Integrating Terrestrial and Oceanic Components","volume":"281","author":"Field","year":"1998","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2016","DOI":"10.1111\/j.1365-2486.2005.1004.x","article-title":"Ecosystem Dynamics Based on Plankton Functional Types for Global Ocean Biogeochemistry Models","volume":"11","author":"Harrison","year":"2005","journal-title":"Glob. 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