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Lavigne, Héloïse; Dogliotti, Ana I; Doxaran, David; Shen, Fang; Castagna, Alexandre; Beck, Matthew; Vanhellemont, Quinten; Sun, Xuerong; Gossn, Juan Ignacio; Renosh, Pannimpullath R; Sabbe, Koen; Vansteenwegen, Dieter; Ruddick, Kevin (2022): The HYPERMAQ dataset [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.944313

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Published: 2022-05-17 • DOI registered: 2022-10-12

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Abstract:
The HYPERMAQ dataset contributes to a better description of marine optics in optically complex water bodies by providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging between 1 to 700 FNU and between 0.9 to 180 mg m-3 respectively. The HYPERMAQ dataset is composed of biogeochemical parameters (i.e. turbidity, suspended particulate matter, chlorophyll-a and other phytoplankton pigments concentrations), apparent optical properties (i.e. water reflectance from above water measurements) and inherent optical properties (i.e. absorption and attenuation coefficients) from six different study areas. These study areas include large estuaries (i.e. the Rio de la Plata in Argentina, the Yangtze Estuary in China and the Gironde Estuary in France), inland waters (i.e. the Spuikom in Belgium and Chascomus Lake in Argentina) and coastal waters (Belgium). All data were collected between April and September 2018.
Keyword(s):
chlorophyll-a concentration; inherent optical properties; optically complex waters; radiometry; Suspended particulate matter; turbidity; water reflectance
Supplement to:
Lavigne, Héloïse; Dogliotti, Ana I; Doxaran, David; Shen, Fang; Castagna, Alexandre; Beck, Matthew; Vanhellemont, Quinten; Sun, Xuerong; Gossn, Juan Ignacio; Renosh, Pannimpullath R; Sabbe, Koen; Vansteenwegen, Dieter; Ruddick, Kevin (2022): The HYPERMAQ dataset: bio-optical properties of moderately to extremely turbid waters. Earth System Science Data, 14(11), 4935-4947, https://doi.org/10.5194/essd-14-4935-2022
Project(s):
Hyperspectral and multi-mission high resolution optical remote sensing of aquatic environments (HYPERMAQ)
LifeWatch BE (LifeWatch_BE)
Funding:
Belgian Federal Science Policy Office (BELSPO), grant/award no. SR/00/335: Hyperspectral and multi-mission high resolution optical remote sensing of aquatic environments
Coverage:
Median Latitude: 15.443632 * Median Longitude: -16.260348 * South-bound Latitude: -35.582810 * West-bound Longitude: -58.398810 * North-bound Latitude: 51.592000 * East-bound Longitude: 121.407100
Date/Time Start: 2018-04-04T13:36:00 * Date/Time End: 2018-09-20T15:30:00
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
11 datasets

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Download ZIP file containing all datasets as tab-delimited text — use the following character encoding:

Datasets listed in this bundled publication

  1. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Absorption coefficient for non water and CDOM, non water attenuation coefficient and particulate scattering from different study areas (in Argentina, China, France and Belgium) measured with an AC9. https://doi.org/10.1594/PANGAEA.944361
  2. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Measurements of turbidity, chlorophyll-a, suspended particulate matter and suspended particulate inorganic matter in six different study areas (in Argentina, China, France and Belgium). https://doi.org/10.1594/PANGAEA.944364
  3. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Pigment concentration in surface water from six different study areas (in Argentina, China, France and Belgium) measured with HPLC. https://doi.org/10.1594/PANGAEA.944321
  4. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Spectral downwelling irradiance from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944311
  5. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Spectral downwelling irradiance standard deviation from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944312
  6. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Downwelling sky radiance from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944380
  7. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Downwelling sky radiance standard deviation from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944385
  8. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Water upwelling radiance from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944369
  9. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Water upwelling radiance standard deviation from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944371
  10. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Water reflectance from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944474
  11. Lavigne, H; Dogliotti, AI; Doxaran, D et al. (2022): Water reflectance standard deviation from six different study areas (in Argentina, China, France and Belgium) measured with TRiOS. https://doi.org/10.1594/PANGAEA.944475