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. 2023 Feb 16;10(1):100.
doi: 10.1038/s41597-023-01973-y.

GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality

Moritz K Lehmann  1   2 Daniela Gurlin  3 Nima Pahlevan  4   5 Krista Alikas  6 Ted Conroy  7 Janet Anstee  8 Sundarabalan V Balasubramanian  9 Cláudio C F Barbosa  10 Caren Binding  11 Astrid Bracher  12   13 Mariano Bresciani  14 Ashley Burtner  15 Zhigang Cao  16 Arnold G Dekker  17 Courtney Di Vittorio  18 Nathan Drayson  8 Reagan M Errera  19 Virginia Fernandez  20 Dariusz Ficek  21 Cédric G Fichot  22 Peter Gege  23 Claudia Giardino  14 Anatoly A Gitelson  24 Steven R Greb  25 Hayden Henderson  26 Hiroto Higa  27 Abolfazl Irani Rahaghi  28 Cédric Jamet  29 Dalin Jiang  30 Thomas Jordan  31 Kersti Kangro  6 Jeremy A Kravitz  32 Arne S Kristoffersen  33 Raphael Kudela  34 Lin Li  35 Martin Ligi  6 Hubert Loisel  29 Steven Lohrenz  36 Ronghua Ma  16 Daniel A Maciel  10 Tim J Malthus  37 Bunkei Matsushita  38 Mark Matthews  39 Camille Minaudo  40 Deepak R Mishra  41 Sachidananda Mishra  42 Tim Moore  43 Wesley J Moses  44 Hà Nguyễn  45 Evlyn M L M Novo  10 Stéfani Novoa  46 Daniel Odermatt  28 David M O'Donnell  47 Leif G Olmanson  48 Michael Ondrusek  49 Natascha Oppelt  50 Sylvain Ouillon  51   52 Waterloo Pereira Filho  53 Stefan Plattner  23 Antonio Ruiz Verdú  54 Salem I Salem  55 John F Schalles  56 Stefan G H Simis  31 Eko Siswanto  57 Brandon Smith  4   5 Ian Somlai-Schweiger  23 Mariana A Soppa  12 Evangelos Spyrakos  30 Elinor Tessin  33 Hendrik J van der Woerd  58 Andrea Vander Woude  19 Ryan A Vandermeulen  4   59 Vincent Vantrepotte  29 Marcel R Wernand  46 Mortimer Werther  28   30 Kyana Young  18 Linwei Yue  60
Affiliations

GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality

Moritz K Lehmann et al. Sci Data. .

Erratum in

  • Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality.
    Lehmann MK, Gurlin D, Pahlevan N, Alikas K, Conroy T, Anstee J, Balasubramanian SV, Barbosa CCF, Binding C, Bracher A, Bresciani M, Burtner A, Cao Z, Dekker AG, Di Vittorio C, Drayson N, Errera RM, Fernandez V, Ficek D, Fichot CG, Gege P, Giardino C, Gitelson AA, Greb SR, Henderson H, Higa H, Rahaghi AI, Jamet C, Jiang D, Jordan T, Kangro K, Kravitz JA, Kristoffersen AS, Kudela R, Li L, Ligi M, Loisel H, Lohrenz S, Ma R, Maciel DA, Malthus TJ, Matsushita B, Matthews M, Minaudo C, Mishra DR, Mishra S, Moore T, Moses WJ, Nguyễn H, Novo EMLM, Novoa S, Odermatt D, O'Donnell DM, Olmanson LG, Ondrusek M, Oppelt N, Ouillon S, Pereira Filho W, Plattner S, Verdú AR, Salem SI, Schalles JF, Simis SGH, Siswanto E, Smith B, Somlai-Schweiger I, Soppa MA, Spyrakos E, Tessin E, van der Woerd HJ, Vander Woude A, Vandermeulen RA, Vantrepotte V, Wernand MR, Werther M, Young K, Yue L. Lehmann MK, et al. Sci Data. 2023 Apr 6;10(1):191. doi: 10.1038/s41597-023-02069-3. Sci Data. 2023. PMID: 37024498 Free PMC article. No abstract available.

Abstract

The development of algorithms for remote sensing of water quality (RSWQ) requires a large amount of in situ data to account for the bio-geo-optical diversity of inland and coastal waters. The GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing reflectance measurements at 1 nm intervals within the 350 to 900 nm wavelength range. In addition, at least one co-located water quality measurement of chlorophyll a, total suspended solids, absorption by dissolved substances, and Secchi depth, is provided. The data were contributed by researchers affiliated with 59 institutions worldwide and come from 450 different water bodies, making GLORIA the de-facto state of knowledge of in situ coastal and inland aquatic optical diversity. Each measurement is documented with comprehensive methodological details, allowing users to evaluate fitness-for-purpose, and providing a reference for practitioners planning similar measurements. We provide open and free access to this dataset with the goal of enabling scientific and technological advancement towards operational regional and global RSWQ monitoring.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Optical processes of absorption and scattering in the atmosphere and the water determine the amount and spectral nature of light received by a sensor. Remote sensing reflectance, the central radiometric quantity of the GLORIA dataset, is the ratio of the water-leaving radiance just above the water surface (Lw) over above-water downwelling irradiance (Es).
Fig. 2
Fig. 2
Summary of the geographical, temporal and water quality distributions of the GLORIA samples. (a) Dots mark the location of each sample and the histograms on the edges of the map show the longitudinal and latitudinal distributions of the dataset. (b) The earliest samples were collected in 1990 and the sampling effort has been steady since 2001. (cf) Histograms of log-transformed water quality attributes illustrate the extreme range of values and their typical log-normal distributions.
Fig. 3
Fig. 3
Summary of the diversity of GLORIA’s Rrs spectra. (a) Thirteen Rrs spectra chosen at random, one from each optical water type displayed in b. (b) Bar chart of the number of GLORIA spectra assigned to each optical water type from Spyrakos et al.. (c) Chromaticity diagram showing the visual color derived from each GLORIA Rrs spectrum using the tristimulus weighting functions according to the Commission Internationale de l’Éclairage (CIE); WP: white point.
Fig. 4
Fig. 4
Spectral bias of reported Rrs compared with 3C-modeled Rrs from 1589 spectra for which Lt, Lsky and Es were available. (A) Median and interquartile (reported - modeled). (B) Relative bias in Rrs (reported - modeled)/modeled. Discontinuities in the bias spectrum are caused by sensors having different wavelength ranges within parts of the dataset.

References

    1. Seyhan E, Dekker A. Application of remote sensing techniques for water quality monitoring. Hydrobiological Bulletin. 1986;20:41–50. doi: 10.1007/BF02291149. - DOI
    1. Kirk, J. T. O. Light & Photosynthesis in Aquatic Ecosystems. 2nd edn, (Cambridge University Press, 1994).
    1. Muller-Karger FE. Remote sensing of marine pollution: A challenge for the 1990s. Mar. Pollut. Bull. 1992;25:54–60. doi: 10.1016/0025-326X(92)90186-A. - DOI
    1. Bukata, P. R., Jerome, J. H., Kondratyev, K. Y. & Pozdnyakov, D. Optical Properties and Remote Sensing of Inland and Coastal Waters. 362 (CRC Press, 1995).
    1. Hassan, R., Scholes, R. & Ash, N. in Millennium Ecosystem Assessment (Island Press, Washington, DC., 2005).