Document of dataset 8495

Dataset record

Type
Dataset
title in English
PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2022
Description in English

This dataset contains autonomously acquired abovewater PANTHYR water reflectance data from a pair of TriOS RAMSES radiance and irradiance sensors. Measurements are performed under a sun-sensor geometry that minimises sun and sky glint on the air-water interface, as recommended by Mobley (1999), and utilised commonly in above water measurements, e.g. by Ruddick et al. (2006). Irradiance and radiance measurements are made sequentially rather than simultaneously, with a full cycle containing 3 irradiance (Ed), 3 downwelling radiance (Ld), 11 upwelling radiance (Lu), 3 more Ld and 3 more Ed. This sequence takes about 1 minute to complete in normal illumination conditions, and temporal stability checks are performed on these sequential measurements (Vanhellemont 2020). A given number of valid measurements (Ed: 5/6, Ld: 5/6, Lu: 9/11) are required for further processing. RAMSES data are resampled to a common wavelength grid between 355 and 945 nm with a 2.5 nm step. A "Fresnel" correction for the air-water interface reflectance is performed using the Mobley (1999) LUT for a fixed (2 m/s) or modeled (NCEP) wind speed. Full details on the PANTHYR system are provided in Vansteenwegen et al. 2019. This dataset contains the average and standard deviation of hyperspectral irradiance (ed), downwelling radiance (ld), total upwelling radiance (lu), and derived water-leaving radiance (lw). Water-leaving radiance reflectance is provided with NIR similarity spectrum correction (rhow) and without NIR similarity spectrum correction (rhow_nosc). Data passed automated quality control but have not been screened by an expert.

The general objective of the HYPERMAQ project was to develop and test new algorithms for aquatic remote sensing of coastal and inland waters, using both hyperspectral and high resolution multispectral satellite data to provide more than “just” concentration of suspended particulate matter and chlorophyll. Test sites focused particularly on turbid waters. The PANTHYR (pan-and-tilt hyperspectral radiometer system) was designed in HYPERMAQ for autonomous measurement of hyperspectral water reflectance for the validation of satellite reflectance in visible and near-infrared bands (400–900 nm).

Abstract in English

Autonomously acquired above-water PANTHYR water reflectance data from a pair of TriOS RAMSES radiance and irradiance sensors, details provided in Vansteenwegen et al. 2019. Data passed automated quality control but has not been screened by an expert.

License
https://spdx.org/licenses/CC-BY-NC-ND-4.0.html
bibliographicCitation
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2024): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2022. Marine Data Archive.

Temporal coverage

Temporal
Start date
2022-01-25
End date
2022-11-16

Geographical coverage

Spatial
ANE, North Sea

Thesaurus terms

Keyword
Air-water interface
Hyperspectral imaging
Irradiance
Optical remote sensing
Radiance
Radiometry
Reflectance
Remote sensing
Remote sensing techniques
Research platform

Themes

theme
Physical > Optical measurements

Ownerships

creator
Dieter Vansteenwegen
creator
Vlaams Instituut voor de Zee
creator
Quinten Vanhellemont
creator
Koninklijk Belgisch Instituut voor Natuurwetenschappen
contributor
Quinten Vanhellemont
contributor
Koninklijk Belgisch Instituut voor Natuurwetenschappen
contactPoint
Quinten Vanhellemont
contactPoint
Koninklijk Belgisch Instituut voor Natuurwetenschappen
creator
Vlaams Instituut voor de Zee
creator
Koninklijk Belgisch Instituut voor Natuurwetenschappen

Publication references

related reference
Based on this dataset /id/publication/367039
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Based on this dataset /id/publication/329529
Used in this dataset /id/publication/311950

Dataset references

related
PANTHYR hyperspectral water reflectance - O1BE

Projects

was generated by
HYPERMAQ - Hyperspectral and multi-mission high resolution optical remote sensing of aquatic environments

Document metadata

date created
2024-02-29
date modified
2024-02-29