Superyachts could support satellite ocean colour validation
dc.contributor.author | Brewin, RJW | |
dc.contributor.author | Sun, X | |
dc.contributor.author | Aurin, DA | |
dc.contributor.author | Viljoen, JJ | |
dc.contributor.author | Walsh, C | |
dc.contributor.author | Sathyendranath, S | |
dc.date.accessioned | 2024-01-25T15:03:49Z | |
dc.date.issued | 2024-01-24 | |
dc.date.updated | 2024-01-25T12:28:53Z | |
dc.description.abstract | Visible spectral radiometry of seawater, often referred to as ocean colour, from space, provides a synoptic view of surface phytoplankton, and other optically-active constituents, at high temporal resolution, that is unsurpassed by any other technology. Yet, in-situ observations of ocean colour are critical to the success of the satellite, tracking the calibration of the radiometers and validating atmospheric correction algorithms. Owing to the high cost of commercial field radiometers, as well as the high costs associated with ocean-based field work, ocean colour scientists are plagued by a sparsity of high quality in-situ radiometric observations, particularly in remote regions. In this perspective article, we highlight potential to increase the number of in-situ observations of ocean colour by harnessing superyachts. Using openly-available data processing software, we show that automated ocean colour data collected using a superyacht can be used for the validation of an ocean colour satellite, with comparable results to traditional validation studies. Reaching out to wealthy citizen scientists may help fill gaps in our ability to monitor the colour of the ocean. | en_GB |
dc.description.sponsorship | UKRI | en_GB |
dc.description.sponsorship | Simons Foundation | en_GB |
dc.identifier.citation | Vol. 5, article 1336494 | en_GB |
dc.identifier.doi | https://doi.org/10.3389/frsen.2024.1336494 | |
dc.identifier.grantnumber | MR/V022792/1 | en_GB |
dc.identifier.grantnumber | 654879 | en_GB |
dc.identifier.grantnumber | 549947 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/135131 | |
dc.identifier | ORCID: 0000-0001-5134-8291 (Brewin, Robert JW) | |
dc.identifier | ScopusID: 35725269400 (Brewin, Robert JW) | |
dc.language.iso | en | en_GB |
dc.publisher | Frontiers Media | en_GB |
dc.relation.url | https://seabass.gsfc.nasa.gov/experiment/SUPERYACHT_SCIENCE | en_GB |
dc.relation.url | https://oceandata.sci.gsfc.nasa.gov/directdataaccess/ | en_GB |
dc.rights | © 2024 Brewin, Sun, Aurin, Viljoen, Walsh and Sathyendranath. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. | en_GB |
dc.subject | satellite | en_GB |
dc.subject | validation | en_GB |
dc.subject | ocean colour | en_GB |
dc.subject | superyacht | en_GB |
dc.subject | remote sensing | en_GB |
dc.title | Superyachts could support satellite ocean colour validation | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2024-01-25T15:03:49Z | |
dc.description | This is the final version. Available on open access from Frontiers Media via the DOI in this record | en_GB |
dc.description | Data availability statement: The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: https://seabass.gsfc.nasa.gov/experiment/SUPERYACHT_SCIENCE; and https://oceandata.sci.gsfc.nasa.gov/directdataaccess/. | en_GB |
dc.identifier.eissn | 2673-6187 | |
dc.identifier.journal | Frontiers in Remote Sensing | en_GB |
dc.relation.ispartof | Frontiers in Remote Sensing, 5 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2024-01-08 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2024-01-08 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2024-01-25T15:01:39Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2024-01-25T15:03:56Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2024-01-24 |
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