Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations
The primary ocean color product is the spectrum of remote sensing reflectance R RS that allows the quantification of in-water optically significant constituents and all ocean color applications. The determination of its uncertainties is thus key to the creation of comprehensive uncertainty budgets f...
Published in: | Frontiers in Remote Sensing |
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Online Access: | http://dx.doi.org/10.3389/frsen.2023.1295855 https://www.frontiersin.org/articles/10.3389/frsen.2023.1295855/full |
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crfrontiers:10.3389/frsen.2023.1295855 2024-04-21T07:43:50+00:00 Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations Mélin, Frédéric Cazzaniga, Ilaria Sciuto, Pietro 2024 http://dx.doi.org/10.3389/frsen.2023.1295855 https://www.frontiersin.org/articles/10.3389/frsen.2023.1295855/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Remote Sensing volume 4 ISSN 2673-6187 General Medicine General Chemistry journal-article 2024 crfrontiers https://doi.org/10.3389/frsen.2023.1295855 2024-03-26T08:33:22Z The primary ocean color product is the spectrum of remote sensing reflectance R RS that allows the quantification of in-water optically significant constituents and all ocean color applications. The determination of its uncertainties is thus key to the creation of comprehensive uncertainty budgets for all derived ocean color products. The assessment of satellite R RS uncertainties has largely relied on corresponding field measurements but this process is solid only if these field measurements are in turn fully characterized. Uncertainty budgets have therefore been defined and reported for the radiometric measurements collected in the framework of the Ocean Color component of the Aerosol Robotic Network (AERONET-OC). The contemporaneous deployment of two autonomous systems for 5.5 years on the Acqua Alta Oceanographic Tower (AAOT) located in the northern Adriatic Sea led to the collection of 4,449 pairs of coincident observations (collected with a time difference lower than 10 min) distributed over 659 days of data acquisitions that can be used to verify reported uncertainty values. The comparison of matched pairs showed a good agreement for R RS (with differences of typically 2%–3% between 412 and 560 nm), as well as for the aerosol optical thickness τ a (3%–6%). Differences between data from the two systems appear generally consistent with their stated uncertainties, indicating that they are metrologically compatible and that uncertainties reported for AERONET-OC data are usually trustworthy (with possible exceptions depending on the level of error correlation between measurements from the two systems). Using uncertainty cone diagrams, this result holds across the range of uncertainty values with few exceptions. Independent uncertainty estimates associated with non-systematic error contributions were obtained using a collocation framework allowing for error correlation between measurements from the two systems. The resulting uncertainties appeared comparable with the reported values for τ a and R RS . The ... Article in Journal/Newspaper Aerosol Robotic Network Frontiers (Publisher) Frontiers in Remote Sensing 4 |
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General Medicine General Chemistry Mélin, Frédéric Cazzaniga, Ilaria Sciuto, Pietro Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
topic_facet |
General Medicine General Chemistry |
description |
The primary ocean color product is the spectrum of remote sensing reflectance R RS that allows the quantification of in-water optically significant constituents and all ocean color applications. The determination of its uncertainties is thus key to the creation of comprehensive uncertainty budgets for all derived ocean color products. The assessment of satellite R RS uncertainties has largely relied on corresponding field measurements but this process is solid only if these field measurements are in turn fully characterized. Uncertainty budgets have therefore been defined and reported for the radiometric measurements collected in the framework of the Ocean Color component of the Aerosol Robotic Network (AERONET-OC). The contemporaneous deployment of two autonomous systems for 5.5 years on the Acqua Alta Oceanographic Tower (AAOT) located in the northern Adriatic Sea led to the collection of 4,449 pairs of coincident observations (collected with a time difference lower than 10 min) distributed over 659 days of data acquisitions that can be used to verify reported uncertainty values. The comparison of matched pairs showed a good agreement for R RS (with differences of typically 2%–3% between 412 and 560 nm), as well as for the aerosol optical thickness τ a (3%–6%). Differences between data from the two systems appear generally consistent with their stated uncertainties, indicating that they are metrologically compatible and that uncertainties reported for AERONET-OC data are usually trustworthy (with possible exceptions depending on the level of error correlation between measurements from the two systems). Using uncertainty cone diagrams, this result holds across the range of uncertainty values with few exceptions. Independent uncertainty estimates associated with non-systematic error contributions were obtained using a collocation framework allowing for error correlation between measurements from the two systems. The resulting uncertainties appeared comparable with the reported values for τ a and R RS . The ... |
format |
Article in Journal/Newspaper |
author |
Mélin, Frédéric Cazzaniga, Ilaria Sciuto, Pietro |
author_facet |
Mélin, Frédéric Cazzaniga, Ilaria Sciuto, Pietro |
author_sort |
Mélin, Frédéric |
title |
Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
title_short |
Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
title_full |
Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
title_fullStr |
Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
title_full_unstemmed |
Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
title_sort |
verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
publisher |
Frontiers Media SA |
publishDate |
2024 |
url |
http://dx.doi.org/10.3389/frsen.2023.1295855 https://www.frontiersin.org/articles/10.3389/frsen.2023.1295855/full |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
Frontiers in Remote Sensing volume 4 ISSN 2673-6187 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/frsen.2023.1295855 |
container_title |
Frontiers in Remote Sensing |
container_volume |
4 |
_version_ |
1796933742404567040 |