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 RRS 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 fo...
Published in: | Frontiers in Remote Sensing |
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Online Access: | https://hdl.handle.net/10281/496499 https://doi.org/10.3389/frsen.2023.1295855 |
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ftunivmilanobic:oai:boa.unimib.it:10281/496499 2024-09-15T17:35:16+00:00 Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations Melin F. Cazzaniga I. Sciuto P. Melin, F Cazzaniga, I Sciuto, P 2024 ELETTRONICO https://hdl.handle.net/10281/496499 https://doi.org/10.3389/frsen.2023.1295855 eng eng Frontiers Media SA country:CH info:eu-repo/semantics/altIdentifier/wos/WOS:001153169000001 volume:4 journal:FRONTIERS IN REMOTE SENSING https://hdl.handle.net/10281/496499 doi:10.3389/frsen.2023.1295855 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85183636592 AERONET-OC metrology ocean color optical radiometry uncertainty info:eu-repo/semantics/article 2024 ftunivmilanobic https://doi.org/10.3389/frsen.2023.1295855 2024-07-30T23:35:47Z The primary ocean color product is the spectrum of remote sensing reflectance RRS 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 RRS 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 10min) distributed over 659days of data acquisitions that can be used to verify reported uncertainty values. The comparison of matched pairs showed a good agreement for RRS (with differences of typically 2%–3% between 412 and 560nm), as well as for the aerosol optical thickness τa (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 τa and RRS. The related ... Article in Journal/Newspaper Aerosol Robotic Network Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) Frontiers in Remote Sensing 4 |
institution |
Open Polar |
collection |
Università degli Studi di Milano-Bicocca: BOA (Bicocca Open Archive) |
op_collection_id |
ftunivmilanobic |
language |
English |
topic |
AERONET-OC metrology ocean color optical radiometry uncertainty |
spellingShingle |
AERONET-OC metrology ocean color optical radiometry uncertainty Melin F. Cazzaniga I. Sciuto P. Verification of uncertainty estimates of autonomous field measurements of marine reflectance using simultaneous observations |
topic_facet |
AERONET-OC metrology ocean color optical radiometry uncertainty |
description |
The primary ocean color product is the spectrum of remote sensing reflectance RRS 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 RRS 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 10min) distributed over 659days of data acquisitions that can be used to verify reported uncertainty values. The comparison of matched pairs showed a good agreement for RRS (with differences of typically 2%–3% between 412 and 560nm), as well as for the aerosol optical thickness τa (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 τa and RRS. The related ... |
author2 |
Melin, F Cazzaniga, I Sciuto, P |
format |
Article in Journal/Newspaper |
author |
Melin F. Cazzaniga I. Sciuto P. |
author_facet |
Melin F. Cazzaniga I. Sciuto P. |
author_sort |
Melin F. |
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 |
https://hdl.handle.net/10281/496499 https://doi.org/10.3389/frsen.2023.1295855 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:001153169000001 volume:4 journal:FRONTIERS IN REMOTE SENSING https://hdl.handle.net/10281/496499 doi:10.3389/frsen.2023.1295855 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85183636592 |
op_doi |
https://doi.org/10.3389/frsen.2023.1295855 |
container_title |
Frontiers in Remote Sensing |
container_volume |
4 |
_version_ |
1810448059796029440 |