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

Authors :
Lehmann, Moritz K
Lehmann, Moritz K
Gurlin, Daniela
Pahlevan, Nima
Alikas, Krista
Conroy, Ted
Anstee, Janet
Balasubramanian, Sundarabalan V
Barbosa, Cláudio CF
Binding, Caren
Bracher, Astrid
Bresciani, Mariano
Burtner, Ashley
Cao, Zhigang
Dekker, Arnold G
Di Vittorio, Courtney
Drayson, Nathan
Errera, Reagan M
Fernandez, Virginia
Ficek, Dariusz
Fichot, Cédric G
Gege, Peter
Giardino, Claudia
Gitelson, Anatoly A
Greb, Steven R
Henderson, Hayden
Higa, Hiroto
Rahaghi, Abolfazl Irani
Jamet, Cédric
Jiang, Dalin
Jordan, Thomas
Kangro, Kersti
Kravitz, Jeremy A
Kristoffersen, Arne S
Kudela, Raphael
Li, Lin
Ligi, Martin
Loisel, Hubert
Lohrenz, Steven
Ma, Ronghua
Maciel, Daniel A
Malthus, Tim J
Matsushita, Bunkei
Matthews, Mark
Minaudo, Camille
Mishra, Deepak R
Mishra, Sachidananda
Moore, Tim
Moses, Wesley J
Nguyễn, Hà
Novo, Evlyn MLM
Novoa, Stéfani
Odermatt, Daniel
O'Donnell, David M
Olmanson, Leif G
Ondrusek, Michael
Oppelt, Natascha
Ouillon, Sylvain
Pereira Filho, Waterloo
Plattner, Stefan
Verdú, Antonio Ruiz
Salem, Salem I
Schalles, John F
Simis, Stefan GH
Siswanto, Eko
Smith, Brandon
Somlai-Schweiger, Ian
Soppa, Mariana A
Spyrakos, Evangelos
Tessin, Elinor
van der Woerd, Hendrik J
Vander Woude, Andrea
Vandermeulen, Ryan A
Vantrepotte, Vincent
Wernand, Marcel R
Werther, Mortimer
Young, Kyana
Yue, Linwei
Lehmann, Moritz K
Lehmann, Moritz K
Gurlin, Daniela
Pahlevan, Nima
Alikas, Krista
Conroy, Ted
Anstee, Janet
Balasubramanian, Sundarabalan V
Barbosa, Cláudio CF
Binding, Caren
Bracher, Astrid
Bresciani, Mariano
Burtner, Ashley
Cao, Zhigang
Dekker, Arnold G
Di Vittorio, Courtney
Drayson, Nathan
Errera, Reagan M
Fernandez, Virginia
Ficek, Dariusz
Fichot, Cédric G
Gege, Peter
Giardino, Claudia
Gitelson, Anatoly A
Greb, Steven R
Henderson, Hayden
Higa, Hiroto
Rahaghi, Abolfazl Irani
Jamet, Cédric
Jiang, Dalin
Jordan, Thomas
Kangro, Kersti
Kravitz, Jeremy A
Kristoffersen, Arne S
Kudela, Raphael
Li, Lin
Ligi, Martin
Loisel, Hubert
Lohrenz, Steven
Ma, Ronghua
Maciel, Daniel A
Malthus, Tim J
Matsushita, Bunkei
Matthews, Mark
Minaudo, Camille
Mishra, Deepak R
Mishra, Sachidananda
Moore, Tim
Moses, Wesley J
Nguyễn, Hà
Novo, Evlyn MLM
Novoa, Stéfani
Odermatt, Daniel
O'Donnell, David M
Olmanson, Leif G
Ondrusek, Michael
Oppelt, Natascha
Ouillon, Sylvain
Pereira Filho, Waterloo
Plattner, Stefan
Verdú, Antonio Ruiz
Salem, Salem I
Schalles, John F
Simis, Stefan GH
Siswanto, Eko
Smith, Brandon
Somlai-Schweiger, Ian
Soppa, Mariana A
Spyrakos, Evangelos
Tessin, Elinor
van der Woerd, Hendrik J
Vander Woude, Andrea
Vandermeulen, Ryan A
Vantrepotte, Vincent
Wernand, Marcel R
Werther, Mortimer
Young, Kyana
Yue, Linwei
Source :
Scientific data; vol 10, iss 1, 100; 2052-4463
Publication Year :
2023

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.

Details

Database :
OAIster
Journal :
Scientific data; vol 10, iss 1, 100; 2052-4463
Notes :
application/pdf, Scientific data vol 10, iss 1, 100 2052-4463
Publication Type :
Electronic Resource
Accession number :
edsoai.on1391582401
Document Type :
Electronic Resource