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PANTHYR hyperspectral water radiometry Blue Accelerator Platform 2022
Citatie
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. https://marineinfo.org/id/dataset/8495


Nota: 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)".

Beschrijving

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.

meer

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
Thema's:
Fysisch > Optische metingen
Kernwoorden:
Air-water interface, Hyperspectrale foto's, Optical remote sensing, Radiance, Radiometry, Reflectance, Research platform, Straling, Teledetectie, Teledetectietechnieken, ANE, Noordzee

Geografische spreiding
ANE, Noordzee [Marine Regions]

Spreiding in de tijd
25 Januari 2022 - 16 November 2022

Parameter
Bestralingssterkte

Bijdrage door
Vlaams Instituut voor de Zee (VLIZ), meerdata creator
Koninklijk Belgisch Instituut voor Natuurwetenschappen (IRScNB/KBIN), meerdata creatoronderzoeker

Gerelateerde datasets
Andere relatie:
PANTHYR hyperspectral water reflectance - O1BE, meer

Project
HYPERMAQ: Hyperspectral and multi-mission high resolution optical remote sensing of aquatic environments, meer

Publicatie
Gebaseerd op deze dataset
Hieronymi, M. et al. (2023). Ocean color atmospheric correction methods in view of usability for different optical water types. Front. Mar. Sci. 10: 1129876. https://dx.doi.org/10.3389/fmars.2023.1129876, meer
Lavigne, H. et al. (2023). Turbid water sun glint removal for high resolution sensors without SWIR, in: Bostater, C.R. et al. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, 2023, 3 - 6 September 2023, Amsterdam, Netherlands. Proceedings of SPIE, the International Society for Optical Engineering, : pp. 1272804, meer
Vanhellemont, Q. (2023). Evaluation of eight band SuperDove imagery for aquatic applications. Optics Express 31(9): 13851-13874. https://dx.doi.org/10.1364/oe.483418, meer
Dierssen, H.M. et al. (2022). QWIP: A quantitative metric for quality control of aquatic reflectance spectral shape using the Apparent Visible Wavelength. Front. Remote Sens. 3: 869611. https://dx.doi.org/10.3389/frsen.2022.869611, meer
Lavigne, H.; Ruddick, K.; Vanhellemont, Q. (2022). Monitoring of high biomass Phaeocystis globosa blooms in the Southern North Sea by in situ and future spaceborne hyperspectral radiometry. Remote Sens. Environ. 282: 113270. https://dx.doi.org/10.1016/j.rse.2022.113270, meer
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, meer
Gebruikt in deze 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, meer


Dataset status: Afgelopen
Data type: Data
Data oorsprong: Sensor platform
Metadatarecord aangemaakt: 2024-02-29
Informatie laatst gewijzigd: 2024-02-29
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