Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-435-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
05 Feb 2025
Data description paper |
| 05 Feb 2025
| 05 Feb 2025
A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
Vittorio Ernesto Brando
Consiglio Nazionale delle Ricerche (CNR), Istituto di Scienze Marine (ISMAR), Via del Fosso del Cavaliere 100, 00133 Rome, Italy
CSIRO Environment, Aquatic Remote Sensing Team, 16 Clunies Ross Street, GPO Box 1700, Canberra ACT 2601, Australia
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Ocean monitoring is crucial to understand the regular seasonality and the drift induced by climate change. Satellites offer a possibility to monitor the complete surface of the Earth within a few days with a harmonized methodology, reaching resolutions of few kilometres. We revisit traditional ship survey optical parameters such as the
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Short summary
This research presents a comprehensive synthetic dataset of bio-optical properties and radiometric quantities in the optical domain, resolved for all sun-view angular combinations, from ultraviolet to visible light, that provide aid in the development of satellite algorithms, including directional problems. The dataset will significantly enhance research on light behavior in water and support future hyperspectral missions. It has been made publicly available on Zenodo.
This research presents a comprehensive synthetic dataset of bio-optical properties and...
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