Uncertainty Estimate of Satellite-Derived Normalized Water-Leaving Radiance
5 pages, 3 figures, 2 tables The quantification of uncertainties affecting satellite ocean color products is a fundamental step to ensure their compliance with mission and science requirements. This work investigated a methodology relying on the use of in situ radiometric data with known uncertainti...
| Published in: | IEEE Geoscience and Remote Sensing Letters |
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| Main Authors: | , , |
| Other Authors: | |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10261/257959 https://doi.org/10.1109/LGRS.2021.3134876 https://doi.org/10.13039/501100011033 |
| Summary: | 5 pages, 3 figures, 2 tables The quantification of uncertainties affecting satellite ocean color products is a fundamental step to ensure their compliance with mission and science requirements. This work investigated a methodology relying on the use of in situ radiometric data with known uncertainties to determine those affecting matching satellite data. By exploiting in situ radiometric data from the Ocean Color component of the Aerosol Robotic Network (AERONET-OC), an advanced method was applied to radiometric data products from the Ocean and Land Color Instruments onboard the Sentinel-3A satellite (OLCI-A) and the Visible Infrared Imager Radiometer Suite onboard the Suomi National-Polar Orbiting Partnership satellite (VIIRS-S). The results from the analysis support the relevance of the method proposed With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S) Peer reviewed |
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