Articles | Volume 14, issue 6
https://doi.org/10.5194/essd-14-2697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-2697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
10 Jun 2022
Data description article |
| 10 Jun 2022
| 10 Jun 2022
Optical and biogeochemical properties of diverse Belgian inland and coastal waters
Alexandre Castagna
CORRESPONDING AUTHOR
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Luz Amadei Martínez
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Margarita Bogorad
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Ilse Daveloose
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Renaat Dasseville
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Heidi Melita Dierssen
Department of Marine Sciences, University of Connecticut, Groton, CT, United States
Matthew Beck
Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
Jonas Mortelmans
Marine Observation Centre (MOC), Flanders Marine Instute (VLIZ), Oostende, Belgium
Héloïse Lavigne
Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
Ana Dogliotti
Instituto de Astronomía y Física del Espacio (IAFE), CONICET-Universidad de Buenos Aires, Buenos Aires, Argentina
David Doxaran
Laboratoire d'Océanographie de Villefranche, CNRS-Sorbonne University, Villefranche, France
Kevin Ruddick
Operational Directorate Natural Environment, Royal Belgian Institute of Natural Sciences, Brussels, Belgium
Wim Vyverman
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Koen Sabbe
Protistology and Aquatic Ecology, Ghent University, Ghent, Belgium
Related authors
Héloïse Lavigne, Ana Dogliotti, David Doxaran, Fang Shen, Alexandre Castagna, Matthew Beck, Quinten Vanhellemont, Xuerong Sun, Juan Ignacio Gossn, Pannimpullath Remanan Renosh, Koen Sabbe, Dieter Vansteenwegen, and Kevin Ruddick
Earth Syst. Sci. Data, 14, 4935–4947, https://doi.org/10.5194/essd-14-4935-2022, https://doi.org/10.5194/essd-14-4935-2022, 2022
Short summary
Short summary
Because of the large diversity of case 2 waters and the complexity of light transfer, retrieving main biogeochemical parameters in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from low to extreme values, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms.
Marta Mikhno, Lorenz Meire, Renaat Dasseville, Peter Chaerle, Ilse Daveloose, Sofie D'hondt, and Koen Sabbe
EGUsphere, https://doi.org/10.5194/egusphere-2026-5308, https://doi.org/10.5194/egusphere-2026-5308, 2026
This preprint is open for discussion and under review for Ocean Science (OS).
Short summary
Short summary
We compared phytoplankton communities in two Greenland fjords influenced by different glacier types to understand how glacier retreat may affect coastal ecosystems. In spring, both fjords supported similar diatom blooms, while in summer their communities diverged with increasing meltwater influence. Our results suggest that the retreat of marine glaciers onto land will reshape phytoplankton communities, with potential consequences for Arctic food webs and carbon cycling.
Philippe Massicotte, Marcel Babin, Frank Fell, Vincent Fournier-Sicre, and David Doxaran
Earth Syst. Sci. Data, 15, 3529–3545, https://doi.org/10.5194/essd-15-3529-2023, https://doi.org/10.5194/essd-15-3529-2023, 2023
Short summary
Short summary
The COASTlOOC oceanographic expeditions in 1997 and 1998 studied the relationship between seawater properties and biology and chemistry across the European coasts. The team collected data from 379 stations using ships and helicopters to support the development of ocean color remote-sensing algorithms. This unique and consistent dataset is still used today by researchers.
Héloïse Lavigne, Ana Dogliotti, David Doxaran, Fang Shen, Alexandre Castagna, Matthew Beck, Quinten Vanhellemont, Xuerong Sun, Juan Ignacio Gossn, Pannimpullath Remanan Renosh, Koen Sabbe, Dieter Vansteenwegen, and Kevin Ruddick
Earth Syst. Sci. Data, 14, 4935–4947, https://doi.org/10.5194/essd-14-4935-2022, https://doi.org/10.5194/essd-14-4935-2022, 2022
Short summary
Short summary
Because of the large diversity of case 2 waters and the complexity of light transfer, retrieving main biogeochemical parameters in these waters is still challenging. By providing optical and biogeochemical parameters for 180 sampling stations with turbidity and chlorophyll-a concentration ranging from low to extreme values, the HYPERMAQ dataset will contribute to a better description of marine optics in optically complex water bodies and can help the scientific community to develop algorithms.
Viviana Otero, Steven Pint, Klaas Deneudt, Maarten De Rijcke, Jonas Mortelmans, Lennert Schepers, Patricia Cabrera, Koen Sabbe, Wim Vyverman, Michiel Vandegehuchte, and Gert Everaert
Biogeosciences Discuss., https://doi.org/10.5194/bg-2022-11, https://doi.org/10.5194/bg-2022-11, 2022
Revised manuscript not accepted
Short summary
Short summary
A mechanistic ecological model analysed which factors drive marine phytoplankton biomass dynamics in the southern part of the North Sea and how their relationship to primary production varies on a spatiotemporal scale. We found a spatiotemporal dependence, meaning that the effects of changing abiotic conditions on phytoplankton biomass dynamics are difficult to generalise. The tailor-made ecological model will enables to predict phytoplankton biomass dynamics under future climate scenarios.
Cited articles
Adler, D. and Kelly, S. T.: vioplot: violin plot,
https://github.com/TomKellyGenetics/vioplot (last access: 3 June 2022), r package
version 0.3.6, 2020. a
Agrawal, Y. C.: The optical volume scattering function: Temporal and vertical
variability in the water column off the New Jersey coast, Limnol.
Oceanogr., 50, 1787–1794, https://doi.org/10.4319/lo.2005.50.6.1787, 2005. a
Amadei Martínez, L., Mortelmans, J., Dillen, N., Debusschere, E., and
Deneudt, K.: LifeWatch observatory data: phytoplankton observations in the
Belgian Part of the North Sea, Biodivers. Data J., 8, e57236,
https://doi.org/10.3897/BDJ.8.e57236, 2020. a
Astoreca, R., Ruddick, K., Rousseau, V., Mol, B., Parent, J.-Y., and Lancelot,
C.: Variability of the inherent and apparent optical properties in a highly
turbid coastal area: impact on the calibration of remote sensing algorithms,
EARSeL eProceedings, 5, 1–17, 2006. a
Astoreca, R., Rousseau, V., and Lancelot, C.: Coloured dissolved organic matter
(CDOM) in Southern North Sea waters: Optical characterization and possible
origin, Estuar. Coast. Shelf S., 85, 633–640,
https://doi.org/10.1016/j.ecss.2009.10.010, 2009. a
Astoreca, R., Doxaran, D., Ruddick, K., Rousseau, V., and Lancelot, C.:
Influence of suspended particle concentration, composition and size on the
variability of inherent optical properties of the Southern North Sea,
Cont. Shelf Res., 35, 117–128, https://doi.org/10.1016/j.csr.2012.01.007,
2012. a
Binding, C. E., Jerome, J. H., Bukata, R. P., and Booty, W. G.: Spectral
absorption properties of dissolved and particulate matter in Lake Erie,
Remote Sens. Enviro., 112, 1702–1711,
https://doi.org/10.1016/j.rse.2007.08.017, 2008. a
Boss, E., Taylor, L., Gilbert, S., Gundersen, K., Hawley, N., Janzen, C.,
Johengen, T., Purcell, H., Robertson, C., Schar, D. W. H., Smith, G. J., and
Tamburri, M. N.: Comparison of inherent optical properties as a surrogate
for particulate matter concentration in coastal waters, Limnol.
Oceanogr. Meth., 7, 803–810, https://doi.org/10.4319/lom.2009.7.803,
2009a. a
Boss, E. S., Slade, W. H., Behrenfeld, M. J., and Dall'Olmo, G.: Acceptance
angle effects on the beam attenuation in the ocean, Opt. Express, 17,
1535–1550, https://doi.org/10.1364/OE.17.001535, 2009b. a, b
Buonassissi, C. J. and Dierssen, H. M.: A regional comparison of particle size
distributions and the power law approximation in oceanic and estuarine
surface waters, J. Geophys. Res.-Oceans, 115, C10028,
https://doi.org/10.1029/2010JC006256, 2010. a
Cael, B. B. and Boss, E. S.: Simplified model of spectral absorption by
non-algal particles and dissolved organic materials in aquatic environments,
Opt. Express, 25, 25486, https://doi.org/10.1364/OE.25.025486, 2017. a
Callahan, B. J., McMurdie, P. J., Rosen, M. J., Han, A. W., Johnson, A. J. A.,
and Holmes, S. P.: DADA2: High-resolution sample inference from Illumina
amplicon data, Nature Methods, 13, 581–583, https://doi.org/10.1038/nmeth.3869, 2016. a, b
Castagna, A., Carol Johnson, B., Voss, K. J., Dierssen, H. M., Patrick, H.,
Germer, T. A., Sabbe, K., and Vyverman, W.: Uncertainty in global
downwelling plane irradiance estimates from sintered polytetrafluoroethylene
plaque radiance measurements, Appl. Optics, 58, 4497–4511,
https://doi.org/10.1364/AO.58.004497, 2019. a, b
Castagna, A., Simis, S. G. H., Dierssen, H., Vanhellemont, Q., Sabbe, K., and
Vyverman, W.: Extending Landsat 8: Retrieval of an Orange contra-Band for
Inland Water Quality Applications, Remote Sensing, 12, 637,
https://doi.org/10.3390/rs12040637, 2020. a
Castagna, A., Dierssen, H., Organelli, E., Bogorad, M., Mortelmans, J.,
Vyverman, W., and Sabbe, K.: Optical Detection of Harmful Algal Blooms in the
Belgian Coastal Zone: A Cautionary Tale of Chlorophyll c3, Front.
Mar. Sci., 8, 1892, https://doi.org/10.3389/fmars.2021.770340, 2021. a, b
Castagna, A., Amadei Martínez, L., Bogorad, M., Daveloose, I., Dassevile,
R., Dierssen, H. M., Beck, M., Mortelmans, J., Lavigne, H., Dogliotti, A.,
Doxaran, D., Ruddick, K., Vyverman, W., and Sabbe, K.: Dataset of optical and
biogeochemical properties of diverse Belgian inland and coastal waters,
PANGAEA [data set], https://doi.org/10.1594/PANGAEA.940240, 2022. a, b
Chase, A., Boss, E. S., Zaneveld, R., Bricaud, A., Claustre, H., Ras, J.,
Dall'Olmo, G., and Westberry, T. K.: Decomposition of in situ particulate
absorption spectra, Methods in Oceanography, 7, 110–124,
https://doi.org/10.1016/j.mio.2014.02.002, 2013. a
Davis, N. M., Proctor, D. M., Holmes, S. P., Relman, D. A., and Callahan,
B. J.: Simple statistical identification and removal of contaminant
sequences in marker-gene and metagenomics data, Microbiome, 6, 226,
https://doi.org/10.1186/s40168-018-0605-2, 2018. a, b
Descy, J.-P., Pirlot, S., Verniers, G., Viroux, L., Lara, Y., Wilmotte, A.,
Vyverman, W., Vanormelingen, P., Van Wichelen, J., Van Gremberghe, I.,
Triest, L., Peretyatko, A., Everbecq, E., and Codd, G.: B-BLOOMS 2 –
Cyanobacterial blooms: toxicity, diversity, modeling and management, Tech.
rep., report number D/2011/1191/45, Belgian Science Policy, Brussels, Belgium, 2011. a, b
Desmit, X., Nohe, A., Borges, A. V., Prins, T., De Cauwer, K., Lagring, R.,
Van der Zande, D., and Sabbe, K.: Changes in chlorophyll concentration and
phenology in the North Sea in relation to de-eutrophication and sea surface
warming, Limnol. Oceanogr., 65, 828–847, https://doi.org/10.1002/lno.11351,
2020. a
Dierssen, H., Bracher, A., Brando, V., Loisel, H., and Ruddick, K.: Data Needs
for Hyperspectral Detection of Algal Diversity Across the Globe,
Oceanography, 33, 74–79, https://doi.org/10.5670/oceanog.2020.111, 2020. a
Dogliotti, A. I., Ruddick, K. G., Nechad, B., Doxaran, D., and Knaeps, E.: A
single algorithm to retrieve turbidity from remotely-sensed data in all
coastal and estuarine waters, Remote Sens. Environ., 156, 157–168,
https://doi.org/10.1016/j.rse.2014.09.020, 2015. a
Estapa, M. L., Boss, E., Mayer, L. M., and Roesler, C. S.: Role of iron and
organic carbon in mass-specific light absorption by particulate matter from
Louisiana coastal waters, Limnol. Oceanogr., 57, 97–112,
https://doi.org/10.4319/lo.2012.57.1.0097, 2012. a
Ferrari, G. M. and Tassan, S.: A method using chemical oxidation to remove
light absorption by phytoplankton pigments, J. Phycol., 35,
1090–1098, https://doi.org/10.1046/j.1529-8817.1999.3551090.x, 1999. a
Fettweis, M. and Van den Eynde, D.: The mud deposits and the high turbidity
in the Belgian–Dutch coastal zone, southern bight of the North Sea,
Conti. Shelf Res., 23, 669–691,
https://doi.org/10.1016/S0278-4343(03)00027-X, 2003. a, b
Flanders Marine Institute: LifeWatch observatory data: nutrient, pigment,
suspended matter and secchi measurements in the Belgian Part of the North
Sea, https://doi.org/10.14284/441, 2021a. a
Flanders Marine Institute: LifeWatch observatory data: phytoplankton
observations by imaging flow cytometry (FlowCam) in the Belgian Part of the
North Sea, https://doi.org/10.14284/527, 2021b. a
Frouin, R. J., Franz, B. A., Ibrahim, A., Knobelspiesse, K., Ahmad, Z., Cairns,
B., Chowdhary, J., Dierssen, H. M., Tan, J., Dubovik, O., Huang, X., Davis,
A. B., Kalashnikova, O., Thompson, D. R., Remer, L. A., Boss, E., Coddington,
O., Deschamps, P.-Y., Gao, B.-C., Gross, L., Hasekamp, O., Omar, A.,
Pelletier, B., Ramon, D., Steinmetz, F., and Zhai, P.-W.: Atmospheric
Correction of Satellite Ocean-Color Imagery During the PACE Era, Front.
Earth Sci., 7, 145, https://doi.org/10.3389/feart.2019.00145, 2019. a
Gleason, A. C., Voss, K. J., Gordon, H. R., Twardowski, M., Sullivan, J.,
Trees, C., Weidemann, A., Berthon, J.-F., Clark, D., and Lee, Z.: Detailed
validation of the bidirectional effect in various Case I and Case II waters,
Opt. Express, 20, 7630, https://doi.org/10.1364/OE.20.007630, 2012. a
Gordon, A. and Hannon, G.: FASTX-Toolkit,
http://hannonlab.cshl.edu/fastx_toolkit/index.html (last access: 3 June 2022), version
0.0.13, 2010. a
Guillou, L., Bachar, D., Audic, S., Bass, D., Berney, C., Bittner, L., Boutte,
C., Burgaud, G., de Vargas, C., Decelle, J., del Campo, J., Dolan, J. R.,
Dunthorn, M., Edvardsen, B., Holzmann, M., Kooistra, W. H., Lara, E., Le
Bescot, N., Logares, R., Mahé, F., Massana, R., Montresor, M., Morard,
R., Not, F., Pawlowski, J., Probert, I., Sauvadet, A.-L., Siano, R., Stoeck,
T., Vaulot, D., Zimmermann, P., and Christen, R.: The Protist Ribosomal
Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit
rRNA sequences with curated taxonomy, Nucl. Acids Res., 41,
D597–D604, https://doi.org/10.1093/nar/gks1160, 2012. a
Hasle, G. R., Steidinger, K. A., Syvertsen, E. E., Jansen, K., Jhrondsen, J.,
and Heimdal, B. R.: Identifying Marine Phytoplankton, Elsevier, San Diego,
California, https://doi.org/10.1016/B978-0-12-693018-4.X5000-9, 1997. a
Hoepffner, N. and Sathyendranath, S.: Effect of pigment composition on
absorption properties of phytoplankton, Mar. Ecol. Prog. Ser., 73,
11–23, https://doi.org/10.3354/meps073011, 1991. a, b, c
IOCCG: Inherent Optical Property Measurements and Protocols: Absorption
Coefficient, vol. 1 of IOCCG Ocean Optics and Biogeochemistry Protocols
for Satellite Ocean Colour Sensor Validation, IOCCG, Dartmouth, NS,
Canada, https://doi.org/10.25607/OBP-119, 2018. a, b, c, d
ISO 7027:1999: Water quality – Determination of turbidity, Standard,
International Organization for Standardization, Geneva, CH, 1999. a
Jeffrey, S. W., Wright, S. W., and Zapata, M.: Microalgal classes and their
signature pigments, in: Phytoplankton Pigments: Characterization,
Chemotaxonomy, and Applications in Oceanography, edited by: Roy, S.,
Llewellyn, C. A., Egeland, E. S., and Johnsen, G.,
Cambridge University Press, Cambridge, UK, chap. 1, 3–77, ISBN 9781107000667, 2011. a, b, c, d
Jonaz, M. and Fournier, G. R.: Light Scattering by Particles in Water:
Theoretical and Experimental Foundations, Elsevier, Amsterdam, The
Netherlands, https://doi.org/10.1016/B978-0-12-388751-1.X5000-5, 2007. a
Kotta, J., Remm, K., Vahtmäe, E., Kutser, T., and Orav-Kotta, H.: In-air
spectral signatures of the Baltic Sea macrophytes and their statistical
separability, J. Appl. Remote Sens., 8, 1.–14,
https://doi.org/10.1117/1.JRS.8.083634, 2014. a
Latimer, P.: The deconvulation of absorption spectra of green plant materials
– Improved corrections for the sieve effect, Photochem. Photobiol.,
38, 731–734, https://doi.org/10.1111/j.1751-1097.1983.tb03608.x, 1983. a
Lee, Z., Pahlevan, N., Ahn, Y.-H., Greb, S., and O'Donnell, D.: Robust
approach to directly measuring water-leaving radiance in the field, Appl.
Optics, 52, 1693–1701, https://doi.org/10.1364/AO.52.001693, 2013. a
Lee, Z., Shang, S., Hu, C., Du, K., Weidemann, A., Hou, W., Lin, J., and Lin,
G.: Secchi disk depth: A new theory and mechanistic model for underwater
visibility, Remote Sens. Environ., 169, 139–149,
https://doi.org/10.1016/j.rse.2015.08.002, 2015. a
Lee, Z., Wei, J., Shang, Z., Garcia, R., Dierssen, H. M., Ishizaka, J., and
Castagna, A.: On-Water Radiometry Measurements: Skylight-Blocked Approach
and Data Processing (Appendix to IOCCG Protocol Series 2019), Tech. Rep.
December, 2019. a
Leymarie, E., Doxaran, D., and Babin, M.: Uncertainties associated to
measurements of inherent optical properties in natural waters, Appl.
Optics, 49, 5415–5436, https://doi.org/10.1364/AO.49.005415, 2010. a
Max, J.-J. and Chapados, C.: IR spectroscopy of aqueous alkali halide
solutions: Pure salt-solvated water spectra and hydration numbers,
J. Chem. Phys., 115, 2664–2675, https://doi.org/10.1063/1.1337047, 2001. a, b
Meire, P., Ysebaert, T., Van Damme, S., Van Den Bergh, E., Maris, T., and
Struyf, E.: The Scheldt estuary: A description of a changing ecosystem,
Hydrobiologia, 540, 1–11, https://doi.org/10.1007/s10750-005-0896-8, 2005. a
Mobley, C. D.: Estimation of the remote-sensing reflectance from above-surface
measurements, Appl. Optics, 38, 7442, https://doi.org/10.1364/AO.38.007442, 1999. a
Moestrup, Ø., Akselmann-Cardella, R., Churro, C., Fraga, S., Hoppenrath, M.,
Iwataki, M., Larsen, J., Lundholm, N., and Zingone, A.: IOC-UNESCO
Taxonomic Reference List of Harmful Micro Algae,
https://doi.org/10.14284/362, 2021. a
Morel, A. Y. and Bricaud, A.: Theoretical results concerning light absorption
in a discrete medium, and application to specific absorption of
phytoplankton, Deep-Sea Res. Pt. A, 28,
1375–1393, https://doi.org/10.1016/0198-0149(81)90039-X, 1981. a
Mortelmans, J., Deneudt, K., Cattrijsse, A., Beauchard, O., Daveloose, I.,
Vyverman, W., Vanaverbeke, J., Timmermans, K., Peene, J., Roose, P.,
Knockaert, M., Chou, L., Sanders, R., Stinchcombe, M., Kimpe, P., Lammens,
S., Theetaert, H., Gkritzalis, T., Hernandez, F., and Mees, J.: Nutrient,
pigment, suspended matter and turbidity measurements in the Belgian part of
the North Sea, Sci. Data, 22, 22, https://doi.org/10.1038/s41597-019-0032-7, 2019. a, b
Nardelli, S. C. and Twardowski, M. S.: Assessing the link between chlorophyll
concentration and absorption line height at 676 nm over a broad range of
water types, Opt. Express, 24, A1374, https://doi.org/10.1364/OE.24.0A1374, 2016. a, b
Nechad, B., Ruddick, K. G., and Park, Y.: Calibration and validation of a
generic multisensor algorithm for mapping of total suspended matter in turbid
waters, Remote Sens. Environ., 114, 854–866,
https://doi.org/10.1016/j.rse.2009.11.022, 2010. a, b, c
Pegau, W. S., Zaneveld, J. R. V., Mitchell, B. G., Mueller, J. L., Kahru, M.,
Wieland, J., and Stramska, M.: Inherent Optical Properties: Instruments,
Characterizations, Field Measurements and Data Analysis Protocols, vol. IV,
NASA, 2002. a
Quan, X. and Fry, E. S.: Empirical equation for the index of refraction of
seawater, Appl. Optics, 34, 3477, https://doi.org/10.1364/AO.34.003477, 1995. a
R Core Team: R: A Language and Environment for Statistical Computing, Version 4.1.1, R
Foundation for Statistical Computing, Vienna, Austria,
https://www.R-project.org/ (last access: 3 June 2022), 2020. a
Reid, P. C., Lancelot, C., Gieskes, W. W. C., Hagmeier, E., and Weichart, G.:
Phytoplankton of the North Sea and its dynamics: A review, Neth.
J. Sea Res., 26, 295–331, https://doi.org/10.1016/0077-7579(90)90094-W,
1990. a
Roesler, C. S. and Barnard, A. H.: Optical proxy for phytoplankton biomass in
the absence of photophysiology: Rethinking the absorption line height,
Methods in Oceanography, 7, 79–94, https://doi.org/10.1016/j.mio.2013.12.003, 2013. a, b
Roesler, C. S. and Boss, E. S.: Spectral beam attenuation coefficient
retrieved from ocean color inversion, Geophys. Res. Lett., 30,
1468, https://doi.org/10.1029/2002GL016185, 2003. a
Röttgers, R., Dupouy, C., Taylor, B. B., Bracher, A., and Woźniak,
S. B.: Mass-specific light absorption coefficients of natural aquatic
particles in the near-infrared spectral region, Limnol. Oceanogr.,
59, 1449–1460, https://doi.org/10.4319/lo.2014.59.5.1449, 2014a. a
Röttgers, R., McKee, D., and Utschig, C.: Temperature and salinity
correction coefficients for light absorption by water in the visible to
infrared spectral region, Opt. Express, 22, 25093,
https://doi.org/10.1364/OE.22.025093, 2014b. a, b
Roy, S., Llewellyn, C. A., Egeland, E. S., and Johnsen, G., eds.: Phytoplankton
Pigments: Characterization, Chemotaxonomy, and Applications in Oceanography,
Cambridge University Press, Cambridge, UK, ISBN 9781107000667, 2011. a
Ruddick, K. G., Cauwer, V. D., Park, Y.-J., and Moore, G.: Seaborne
measurements of near infrared water-leaving reflectance : The similarity
spectrum for turbid waters, Limnol. Oceanogr., 51, 1167–1179,
https://doi.org/10.4319/lo.2006.51.2.1167, 2006. a, b
Ruddick, K. G., Voss, K. J., Banks, A., Boss, E., Castagna, A., Frouin, R.,
Hieronymi, M., Jamet, C., Johnson, B., Kuusk, J., Lee, Z., Ondrusek, M.,
Vabson, V., and Vendt, R.: A review of protocols for Fiducial Reference
Measurements of downwelling irradiance for the validation of satellite remote
sensing data over water, Remote Sensing, 11, 1742, https://doi.org/10.3390/rs11151742,
2019a. a, b
Ruddick, K. G., Voss, K. J., Banks, A. C., Boss, E. S., Castagna, A., Frouin,
R., Hieronymi, M., Jamet, C., Johnson, B. C., Kuusk, J., Lee, Z., Ondrusek,
M., Vabson, V., and Vendt, R.: A Review of Protocols for Fiducial Reference
Measurements of Downwelling Irradiance for the Validation of Satellite Remote
Sensing Data over Water, Remote Sensing, 11, 1742, https://doi.org/10.3390/rs11151742,
2019b. a, b
Shang, Z., Lee, Z., Wei, J., and Lin, G.: Impact of ship on radiometric
measurements in the field: a reappraisal via Monte Carlo simulations, Opt.
Express, 28, 1439, https://doi.org/10.1364/OE.28.001439, 2020. a
Stoeck, T., Bass, D., Nebel, M., Christen, R., Jones, M. D., Breiner, H. W.,
and Richards, T. A.: Multiple marker parallel tag environmental DNA
sequencing reveals a highly complex eukaryotic community in marine anoxic
water, Mol. Ecol., 19, 21–31,
https://doi.org/10.1111/j.1365-294X.2009.04480.x, 2010. a
Stramski, D., Reynolds, R. A., Kaczmarek, S., Uitz, J., and Zheng, G.:
Correction of pathlength amplification in the filter-pad technique for
measurements of particulate absorption coefficient in the visible spectral
region, Appl. Optics, 54, 6763, https://doi.org/10.1364/AO.54.006763, 2015. a, b
Strickland, J. D. H. and Parsons, T. R.: A Practical Handbook of Seawater
Analys, Fisheries Research Board of Canada, Ottawa, Canada, 1968. a
Twardowski, M. S., Boss, E., Sullivan, J. M., and Donaghay, P. L.: Modeling
the spectral shape of absorption by chromophoric dissolved organic matter,
Mar. Chem., 89, 69–88, https://doi.org/10.1016/j.marchem.2004.02.008, 2004. a
van Beusekom, J. and Diel-Christiansen, S.: A synthesis of phyto and
zooplankton dynamics in the North Sea environment, Tech. rep., 146 pp., ISBN 1 85850 028 1, 1994. a
Van Heukelem, L. and Thomas, C. S.: Computer-assisted high-performance
liquid chromatography method development with applications to the isolation
and analysis of phytoplankton pigments, J. Chromatogr. A, 910,
31–49, https://doi.org/10.1016/S0378-4347(00)00603-4, 2001. a, b
Verschuur, G. L.: Transparency Measurements in Garner Lake, Tennessee: The
Relationship between Secchi Depth and Solar Altitude and a Suggestion for
Normalization of Secchi Depth Data, Lake Reserv. Manage., 13,
142–153, https://doi.org/10.1080/07438149709354305, 1997. a
WoRMS Editorial Board: World Register of Marine Species (WoRMS),
https://doi.org/10.14284/170, 2021.
a, b
Zaneveld, J. R. V. and Kitchen, J. C.: The variation in the inherent optical
properties of phytoplankton near an absorption peak as determined by various
models of cell structure, J. Geophys. Res., 100, 13309,
https://doi.org/10.1029/95JC00451, 1995. a
Short summary
Here we describe a dataset of optical measurements paired with the concentration and composition of dissolved and particulate components of water systems in Belgium. Sampling was performed over eight lakes, a coastal lagoon, an estuary, and coastal waters, covering the period of 2017 to 2019. The data cover a broad range of conditions and can be useful for development and evaluation of hyperspectral methods in hydrology optics and remote sensing.
Here we describe a dataset of optical measurements paired with the concentration and composition...
Altmetrics
Final-revised paper
Preprint