System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data
System Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in the water-leaving radiance Lw derived from the top of atmosphere radiance LT. This is achieved through the application of adjustment gain-factors, g-factors,...
| Main Authors: | , , , , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/5527 |
| _version_ | 1848744821980659712 |
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| author | Zibordi, G. Mélin, F. Voss, K. Johnson, C. Franz, B. Kwiatkowska, E. Huot, J. Wang, M. Antoine, David |
| author_facet | Zibordi, G. Mélin, F. Voss, K. Johnson, C. Franz, B. Kwiatkowska, E. Huot, J. Wang, M. Antoine, David |
| author_sort | Zibordi, G. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | System Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in the water-leaving radiance Lw derived from the top of atmosphere radiance LT. This is achieved through the application of adjustment gain-factors, g-factors, to pre-launch absolute radiometric calibration coefficients of the satellite sensor corrected for temporal changes in radiometric sensitivity. The g-factors are determined by the ratio of simulated to measured spectral LT values where the former are computed using: i. highly accurate in situ Lw reference measurements; and ii. the same atmospheric model and algorithms applied for the atmospheric correction of satellite data. By analyzing basic relations between relative uncertainties of Lw and LT, and g-factors consistently determined for the same satellite missions using different in situ data sources, this work suggests that the creation of ocean color Climate Data Records (CDRs) should ideally rely on: i. one main long-term in situ calibration system (site and radiometry) established and sustained with the objective to maximize accuracy and precision over time of g-factors and thus minimize possible biases among satellite data products from different missions; and additionally ii. unique (i.e., standardized) atmospheric model and algorithms for atmospheric correction to maximize cross-mission consistency of data products at locations different from that supporting SVC. Finally, accounting for results from the study and elements already provided in literature, requirements and recommendations for SVC sites and field radiometers radiometric measurements are streamlined. |
| first_indexed | 2025-11-14T06:07:34Z |
| format | Journal Article |
| id | curtin-20.500.11937-5527 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:07:34Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-55272017-09-13T14:39:54Z System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data Zibordi, G. Mélin, F. Voss, K. Johnson, C. Franz, B. Kwiatkowska, E. Huot, J. Wang, M. Antoine, David System Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in the water-leaving radiance Lw derived from the top of atmosphere radiance LT. This is achieved through the application of adjustment gain-factors, g-factors, to pre-launch absolute radiometric calibration coefficients of the satellite sensor corrected for temporal changes in radiometric sensitivity. The g-factors are determined by the ratio of simulated to measured spectral LT values where the former are computed using: i. highly accurate in situ Lw reference measurements; and ii. the same atmospheric model and algorithms applied for the atmospheric correction of satellite data. By analyzing basic relations between relative uncertainties of Lw and LT, and g-factors consistently determined for the same satellite missions using different in situ data sources, this work suggests that the creation of ocean color Climate Data Records (CDRs) should ideally rely on: i. one main long-term in situ calibration system (site and radiometry) established and sustained with the objective to maximize accuracy and precision over time of g-factors and thus minimize possible biases among satellite data products from different missions; and additionally ii. unique (i.e., standardized) atmospheric model and algorithms for atmospheric correction to maximize cross-mission consistency of data products at locations different from that supporting SVC. Finally, accounting for results from the study and elements already provided in literature, requirements and recommendations for SVC sites and field radiometers radiometric measurements are streamlined. 2015 Journal Article http://hdl.handle.net/20.500.11937/5527 10.1016/j.rse.2014.12.015 Elsevier fulltext |
| spellingShingle | Zibordi, G. Mélin, F. Voss, K. Johnson, C. Franz, B. Kwiatkowska, E. Huot, J. Wang, M. Antoine, David System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title | System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title_full | System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title_fullStr | System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title_full_unstemmed | System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title_short | System Vicarious Calibration for Ocean Color Climate Change Applications: Requirements for In Situ Data |
| title_sort | system vicarious calibration for ocean color climate change applications: requirements for in situ data |
| url | http://hdl.handle.net/20.500.11937/5527 |