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PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2019
Citable as data publication
Vansteenwegen, D.; Vanhellemont, Q.; Flanders Marine Institute (VLIZ): Belgium; Royal Belgian Institute for Natural Sciences (RBINS): Belgium; (2022): PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2019. Marine Data Archive. https://doi.org/10.14284/565

Availability: Creative Commons License This dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Notes: If you use the data provided by PANTHYR, please refer to it in any of your publications as: "This work was supported by PANTHYR data & infrastructure provided by the Flanders Marine Institute (VLIZ) and Royal Belgian Institute for Natural Sciences (RBINS)".

Description
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. more

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).

Scope
Themes:
Physical > Optical measurements
Keywords:
Air-water interface, Hyperspectral imaging, Irradiance, Optical remote sensing, Radiance, Radiometry, Reflectance, Remote sensing, Remote sensing techniques, Research platform, ANE, North Sea

Geographical coverage
ANE, North Sea [Marine Regions]

Temporal coverage
December 2019

Parameter
Irradiance

Contributors
Koninklijk Belgisch Instituut voor Natuurwetenschappen (IRScNB/KBIN), moredata creatorresearcher
Vlaams Instituut voor de Zee (VLIZ), moredata creator

Related datasets
Other relation:
PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2020, more

Publication
Based on this dataset
Vanhellemont, Q.; Ruddick, K. (2021). Atmospheric correction of Sentinel-3/OLCI data for mapping of suspended particulate matter and chlorophyll-a concentration in Belgian turbid coastal waters. Remote Sens. Environ. 256: 112284. https://dx.doi.org/10.1016/j.rse.2021.112284, more
Vanhellemont, Q. (2020). Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry. Optics Express 28(20): 29948. https://dx.doi.org/10.1364/oe.397456, more
Used in this dataset
Vansteenwegen, D. et al. (2019). The Pan-and-Tilt Hyperspectral Radiometer system (PANTHYR) for autonomous satellite validation measurements—prototype design and testing. Remote Sens. 11(11): 1360. https://dx.doi.org/10.3390/rs11111360, more


Dataset status: Completed
Data type: Data
Data origin: Sensor platform
Metadatarecord created: 2022-05-06
Information last updated: 2022-05-09
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy