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

Authors

• Moritz K. Lehmann, Xerra Earth Observation Institute
• Daniela Gurlin, Wisconsin Department Natural Resources
• Nima Pahlevan, Science Systems and Applications, Inc. (SSAI)
• Krista Alikas, Tartu Ülikool
• Janet Anstee, Commonwealth Scientific and Industrial Research Organization
• Sundarabalan V. Balasubramanian, GeoSensing and Imaging Consultancy
• Cláudio C.F. Barbosa, Instituto Nacional de Pesquisas Espaciais
• Caren Binding, Environment and Climate Change Canada
• Astrid Bracher, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
• Mariano Bresciani, Consiglio Nazionale delle Ricerche, Institute for Electromagnetic Sensing of the Environment
• Ashley Burtner, University of Michigan, Ann Arbor
• Zhigang Cao, Nanjing Institute of Geography and Limnology Chinese Academy of Sciences
• Arnold G. Dekker, SatDek Pty Ltd
• Courtney Di Vittorio, Wake Forest University
• Nathan Drayson, Commonwealth Scientific and Industrial Research Organization
• Reagan M. Errera, NOAA Great Lakes Environmental Research Laboratory
• Virginia Fernandez, Universidad de la Republica
• Dariusz Ficek, Akademia Pomorska w Słupsku
• Cédric G. Fichot, Boston University
• Peter Gege, Deutsches Zentrum für Luft- und Raumfahrt (DLR)
• Claudia Giardino, Consiglio Nazionale delle Ricerche, Institute for Electromagnetic Sensing of the Environment
• Anatoly A. Gitelson, School of Natural Resources
• Steven R. Greb, University of Wisconsin-Madison
• Hayden Henderson, Michigan Technological UniversityFollow
• Hiroto Higa, Yokohama National University
• Abolfazl Irani Rahaghi, Eawag - Swiss Federal Institute of Aquatic Science and Technology
• Cédric Jamet, Université du Littoral Côte d‘Opale
• Dalin Jiang, University of Stirling
• Thomas Jordan, Plymouth Marine Laboratory
• Kersti Kangro, Tartu Ülikool
• Jeremy A. Kravitz, NASA Ames Research Center

Document Type

Article

Publication Date

2-16-2023

Department

Great Lakes Research Center

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.

Publisher's Statement

© The Author(s) 2023. Publisher’s version of record: https://doi.org/10.1038/s41597-023-01973-y

Publication Title

Scientific Data

Recommended Citation

Lehmann, M., Gurlin, D., Pahlevan, N., Alikas, K., Anstee, J., Balasubramanian, S., Barbosa, C., Binding, C., Bracher, A., Bresciani, M., Burtner, A., Cao, Z., Dekker, A., Di Vittorio, C., Drayson, N., Errera, R., Fernandez, V., Ficek, D., Fichot, C., Gege, P., Giardino, C., Gitelson, A., Greb, S., Henderson, H., Higa, H., Rahaghi, A., Jamet, C., Jiang, D., Jordan, T., Kangro, K., & Kravitz, J. (2023). GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Scientific Data, 10(1). http://doi.org/10.1038/s41597-023-01973-y
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16868

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Version

Publisher's PDF