Preprints
https://doi.org/10.5194/essd-2024-295
https://doi.org/10.5194/essd-2024-295
23 Jul 2024
 | 23 Jul 2024
Status: a revised version of this preprint is currently under review for the journal ESSD.

A hyperspectral and multi-angular synthetic dataset for algorithm development in waters of varying trophic levels and optical complexity

Jaime Pitarch and Vittorio Ernesto Brando

Abstract. This data paper outlines the development and structure of a synthetic dataset (SD) within the optical domain, encompassing inherent and apparent optical properties (IOPs-AOPs) alongside associated optically active constituents (OACs). The bio-optical modeling benefited from knowledge and data accumulated over the past three decades, resulting on a comprehensive dataset of in situ IOPs, including diverse water typologies, and enabling the imposition of rigorous quality standards. Consequently, the bio-optical relationships delineated herein represent valuable contributions to the field.

Employing the Hydrolight scalar radiative transfer equation solver, we generated above-surface and submarine light fields across the specified spectral range at a “true” hyperspectral resolution (1 nm), covering the ultraviolet down to 350 nm, therefore facilitating algorithm development and assessment for present and forthcoming hyperspectral satellite missions. A condensed version of the dataset tailored to twelve Sentinel-3 OLCI bands (400 nm to 753 nm) was crafted. Derived AOPs encompass an array of above- and below-surface reflectances, diffuse attenuation coefficients, and average cosines.

The dataset is distributed in 5000 files, each file encapsulating a specific IOP scenario, ensuring sufficient data volume for each water type represented. A unique feature of our dataset lies in the calculation of AOPs across the complete range of solar and viewing zenith and azimuthal angles as per the Hydrolight default quadrants, amounting to 1300 angular combinations. This comprehensive directional coverage caters to studies investigating signal directionality, previously lacking sufficient reference data. The dataset is publicly available for anonymous retrieval via the FAIR repository Zenodo at https://doi.org/10.5281/zenodo.11637178 (Pitarch and Brando, 2024).

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Jaime Pitarch and Vittorio Ernesto Brando

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-295', Anonymous Referee #1, 16 Sep 2024
    • CC3: 'Reply on RC1', Juan Ignacio Gossn, 23 Sep 2024
      • RC4: 'Reply on CC3', Anonymous Referee #1, 30 Sep 2024
      • AC2: 'Reply on CC3', Jaime Pitarch, 04 Oct 2024
    • AC4: 'Reply on RC1', Jaime Pitarch, 16 Oct 2024
  • CC1: 'Comment on essd-2024-295', Curtis Mobley, 16 Sep 2024
    • RC2: 'Reply on CC1', Anonymous Referee #1, 17 Sep 2024
    • AC1: 'Reply on CC1', Jaime Pitarch, 04 Oct 2024
  • CC2: 'Comment on essd-2024-295', Giuseppe Zibordi, 21 Sep 2024
    • AC3: 'Reply on CC2', Jaime Pitarch, 14 Oct 2024
  • RC3: 'Comment on essd-2024-295', David McKee, 22 Sep 2024
    • AC5: 'Reply on RC3', Jaime Pitarch, 16 Oct 2024
Jaime Pitarch and Vittorio Ernesto Brando
Jaime Pitarch and Vittorio Ernesto Brando

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Short summary
This research presents a comprehensive synthetic dataset in the optical domain, created thanks to a large mining of available bio-optical data. Utilizing the Hydrolight radiative transfer model, the dataset provides detailed light fields from ultraviolet to visible light, aiding in the development of satellite algorithms. The dataset will significantly enhance research on light behavior in water and supporting future hyperspectral missions. It has been made publicly available on Zenodo.
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