1
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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. Author Correction: GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Sci Data 2023; 10:191. [PMID: 37024498 PMCID: PMC10079964 DOI: 10.1038/s41597-023-02069-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
Affiliation(s)
- Moritz K Lehmann
- Xerra Earth Observation Institute, PO Box 400, Alexandra, 9340, New Zealand.
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
| | - Daniela Gurlin
- Wisconsin Department of Natural Resources, Bureau of Water Quality, 101 S Webster Street, Madison, WI, 53707, USA
| | - Nima Pahlevan
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA
- NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Krista Alikas
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | - Ted Conroy
- School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand
| | - Janet Anstee
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Acton, ACT, 2601, Australia
| | | | - Cláudio C F Barbosa
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Caren Binding
- Environment and Climate Change Canada, Burlington, ON, Canada
| | - Astrid Bracher
- Phytooptics Group, Physical Oceanography of Polar Seas, Climate Sciences, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
- Department of Physics and Electrical Engineering, Institute of Environmental Physics, University of Bremen, Bremen, Germany
| | - Mariano Bresciani
- National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment, CNR-IREA, Milano, Italy
| | - Ashley Burtner
- Cooperative Institute for Great Lakes Research, University of Michigan, 4840 South State Road, Ann Arbor, MI, 48108, USA
| | - Zhigang Cao
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | | | - Courtney Di Vittorio
- Wake Forest University, Engineering, 455 Vine Street, Winston-Salem, NC, 27101, USA
| | - Nathan Drayson
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Acton, ACT, 2601, Australia
| | - Reagan M Errera
- NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, MI, USA
| | - Virginia Fernandez
- Department of Geography, Universidad de la República, Montevideo, Uruguay
| | - Dariusz Ficek
- Institute of Biology and Earth Sciences, Pomeranian University, Arciszewskiego 22, 76-200, Slupsk, Poland
| | - Cédric G Fichot
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Peter Gege
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Claudia Giardino
- National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment, CNR-IREA, Milano, Italy
| | - Anatoly A Gitelson
- University of Nebraska-Lincoln, School of Natural Resources, 3310 Holdrege Street, Lincoln, NE, 68503, USA
| | - Steven R Greb
- University of Wisconsin-Madison, Aquatic Sciences Center, 1975 Willow Drive, Madison, WI, 53706, USA
| | - Hayden Henderson
- Michigan Technological University, Great Lakes Research Center, 100 Phoenix Drive, Houghton, MI, 49931, USA
| | - Hiroto Higa
- Faculty of Urban Innovation, Yokohama National University, Tokiwadai 79-5, Hodogaya, Yokohama, Kanagawa, Japan
| | - Abolfazl Irani Rahaghi
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland
| | - Cédric Jamet
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Dalin Jiang
- Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | | | - Kersti Kangro
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | | | | | - Raphael Kudela
- University of California-Santa Cruz, Ocean Sciences Department, Institute of Marine Sciences, 1156 High Street, Santa Cruz, CA, 95064, USA
| | - Lin Li
- Department of Earth Sciences, Indiana University-Purdue University, Indianapolis, IN, USA
| | - Martin Ligi
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | - Hubert Loisel
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Steven Lohrenz
- University of Massachusetts-Dartmouth, School for Marine Science and Technology West, 706 South Rodney French Blvd., New Bedford, MA, 02744, USA
| | - Ronghua Ma
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Daniel A Maciel
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Tim J Malthus
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
| | - Bunkei Matsushita
- Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
| | | | - Camille Minaudo
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal 643, 08028, Barcelona, Spain
| | - Deepak R Mishra
- Department of Geography, University of Georgia, Athens, GA, 30602, USA
| | - Sachidananda Mishra
- National Centers for Coastal Ocean Science, National Oceanic and Atmospheric Administration, 1305 East-West Hwy, Silver Spring, MD, 20910, USA
| | - Tim Moore
- Harbor Branch Oceanographic Institute, Florida Atlantic University, Fort Pierce, FL, USA
| | - Wesley J Moses
- U.S. Naval Research Laboratory, 4555 Overlook Ave SW, Washington, DC, 20375, USA
| | - Hà Nguyễn
- Faculty of Geology, VNU University of Science, Ha Noi, Vietnam
| | - Evlyn M L M Novo
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Stéfani Novoa
- Royal Netherlands Institute for Sea Research, Physical Oceanography, Marine Optics & Remote Sensing, Den Burg, Texel, Netherlands
| | - Daniel Odermatt
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland
| | | | - Leif G Olmanson
- Department of Forest Resources, University of Minnesota, St. Paul, MN, USA
| | - Michael Ondrusek
- NOAA Center for Satellite Applications and Research, College Park, MD, USA
| | - Natascha Oppelt
- Earth Observation and Modelling, Kiel University, Department of Geography, 24118, Kiel, Germany
| | - Sylvain Ouillon
- UMR LEGOS, University of Toulouse, IRD, CNES, CNRS, UPS, 14 Avenue Edouard Belin, 31400, Toulouse, France
- Department Water-Environment-Oceanography, University of Science and Technology of Hanoi (USTH), Vietnamese Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Hanoi, 100000, Vietnam
| | - Waterloo Pereira Filho
- Department of Geosciences, Federal University of Santa Maria, Av. Roraima, 1000, 97105-900, Santa Maria, Rio Grande do Sul, Brazil
| | - Stefan Plattner
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Antonio Ruiz Verdú
- Laboratory for Earth Observation, University of Valencia, Catedrático Agustín Escardino 9, Paterna (Valencia), 46980, Spain
| | - Salem I Salem
- Faculty of Engineering, Kyoto University of Advanced Science (KUAS), 18 Yamanouchi Gotanda, Ukyo, Kyoto, Japan
| | - John F Schalles
- Creighton University, Department of Biology, Omaha, NE, 68178, USA
| | | | - Eko Siswanto
- Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Showa-machi 3173-25, Yokohama, Kanagawa, 2360001, Japan
| | - Brandon Smith
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA
- NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Ian Somlai-Schweiger
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Mariana A Soppa
- Phytooptics Group, Physical Oceanography of Polar Seas, Climate Sciences, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
| | - Evangelos Spyrakos
- Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | - Elinor Tessin
- Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - Hendrik J van der Woerd
- Department of Water & Climate Risk, Institute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, Netherlands
| | | | - Ryan A Vandermeulen
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA
- Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Vincent Vantrepotte
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Marcel R Wernand
- Royal Netherlands Institute for Sea Research, Physical Oceanography, Marine Optics & Remote Sensing, Den Burg, Texel, Netherlands
| | - Mortimer Werther
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland
- Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | - Kyana Young
- Wake Forest University, Engineering, 455 Vine Street, Winston-Salem, NC, 27101, USA
| | - Linwei Yue
- China University of Geosciences, School of Geography and Information Engineering, Wuhan, China
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2
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Lehmann MK, Gurlin D, Pahlevan N, Alikas K, 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. GLORIA - A globally representative hyperspectral in situ dataset for optical sensing of water quality. Sci Data 2023; 10:100. [PMID: 36797273 PMCID: PMC9935528 DOI: 10.1038/s41597-023-01973-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 01/17/2023] [Indexed: 02/18/2023] Open
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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Affiliation(s)
- Moritz K Lehmann
- Xerra Earth Observation Institute, PO Box 400, Alexandra, 9340, New Zealand. .,School of Science, University of Waikato, Private Bag 3105, Hamilton, 3240, New Zealand.
| | - Daniela Gurlin
- Wisconsin Department of Natural Resources, Bureau of Water Quality, 101 S Webster Street, Madison, WI, 53707, USA
| | - Nima Pahlevan
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Krista Alikas
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | - Janet Anstee
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Acton, ACT, 2601, Australia
| | | | - Cláudio C F Barbosa
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Caren Binding
- Environment and Climate Change Canada, Burlington, ON, Canada
| | - Astrid Bracher
- Phytooptics Group, Physical Oceanography of Polar Seas, Climate Sciences, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany.,Department of Physics and Electrical Engineering, Institute of Environmental Physics, University of Bremen, Bremen, Germany
| | - Mariano Bresciani
- National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment, CNR-IREA, Milano, Italy
| | - Ashley Burtner
- Cooperative Institute for Great Lakes Research, University of Michigan, 4840 South State Road, Ann Arbor, MI, 48108, USA
| | - Zhigang Cao
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | | | - Courtney Di Vittorio
- Wake Forest University, Engineering, 455 Vine Street, Winston-Salem, NC, 27101, USA
| | - Nathan Drayson
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Acton, ACT, 2601, Australia
| | - Reagan M Errera
- NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, MI, USA
| | - Virginia Fernandez
- Department of Geography, Universidad de la República, Montevideo, Uruguay
| | - Dariusz Ficek
- Institute of Biology and Earth Sciences, Pomeranian University, Arciszewskiego 22, 76-200, Slupsk, Poland
| | - Cédric G Fichot
- Department of Earth and Environment, Boston University, Boston, MA, USA
| | - Peter Gege
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Claudia Giardino
- National Research Council of Italy, Institute for Electromagnetic Sensing of the Environment, CNR-IREA, Milano, Italy
| | - Anatoly A Gitelson
- University of Nebraska-Lincoln, School of Natural Resources, 3310 Holdrege Street, Lincoln, NE, 68503, USA
| | - Steven R Greb
- University of Wisconsin-Madison, Aquatic Sciences Center, 1975 Willow Drive, Madison, WI, 53706, USA
| | - Hayden Henderson
- Michigan Technological University, Great Lakes Research Center, 100 Phoenix Drive, Houghton, MI, 49931, USA
| | - Hiroto Higa
- Faculty of Urban Innovation, Yokohama National University, Tokiwadai 79-5, Hodogaya, Yokohama, Kanagawa, Japan
| | - Abolfazl Irani Rahaghi
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland
| | - Cédric Jamet
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Dalin Jiang
- Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | | | - Kersti Kangro
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | | | | | - Raphael Kudela
- University of California-Santa Cruz, Ocean Sciences Department, Institute of Marine Sciences, 1156 High Street, Santa Cruz, CA, 95064, USA
| | - Lin Li
- Department of Earth Sciences, Indiana University-Purdue University, Indianapolis, IN, USA
| | - Martin Ligi
- Tartu Observatory of the University of Tartu, Tartumaa, 61602, Estonia
| | - Hubert Loisel
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Steven Lohrenz
- University of Massachusetts-Dartmouth, School for Marine Science and Technology West, 706 South Rodney French Blvd., New Bedford, MA, 02744, USA
| | - Ronghua Ma
- Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Daniel A Maciel
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Tim J Malthus
- Coasts and Oceans Systems Program (COS), CSIRO Environment Business Unit, Ecosciences Precinct, 41 Boggo Road, Dutton Park, QLD, 4102, Australia
| | - Bunkei Matsushita
- Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan
| | | | - Camille Minaudo
- Departament de Biologia Evolutiva, Ecologia i Ciències Ambientals, Facultat de Biologia, Universitat de Barcelona, Av. Diagonal 643, 08028, Barcelona, Spain
| | - Deepak R Mishra
- Department of Geography, University of Georgia, Athens, GA, 30602, USA
| | - Sachidananda Mishra
- National Centers for Coastal Ocean Science, National Oceanic and Atmospheric Administration, 1305 East-West Hwy, Silver Spring, MD, 20910, USA
| | - Tim Moore
- Harbor Branch Oceanographic Institute, Florida Atlantic University, Fort Pierce, FL, USA
| | - Wesley J Moses
- U.S. Naval Research Laboratory, 4555 Overlook Ave SW, Washington, DC, 20375, USA
| | - Hà Nguyễn
- Faculty of Geology, VNU University of Science, Ha Noi, Vietnam
| | - Evlyn M L M Novo
- Instrumentation Lab for Aquatic Systems (LabISA), National Institute for Space Research (INPE), São José dos Campos, Brazil
| | - Stéfani Novoa
- Royal Netherlands Institute for Sea Research, Physical Oceanography, Marine Optics & Remote Sensing, Den Burg, Texel, Netherlands
| | - Daniel Odermatt
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland
| | | | - Leif G Olmanson
- Department of Forest Resources, University of Minnesota, St. Paul, MN, USA
| | - Michael Ondrusek
- NOAA Center for Satellite Applications and Research, College Park, MD, USA
| | - Natascha Oppelt
- Earth Observation and Modelling, Kiel University, Department of Geography, 24118, Kiel, Germany
| | - Sylvain Ouillon
- UMR LEGOS, University of Toulouse, IRD, CNES, CNRS, UPS, 14 Avenue Edouard Belin, 31400, Toulouse, France.,Department Water-Environment-Oceanography, University of Science and Technology of Hanoi (USTH), Vietnamese Academy of Science and Technology (VAST), 18 Hoang Quoc Viet, Hanoi, 100000, Vietnam
| | - Waterloo Pereira Filho
- Department of Geosciences, Federal University of Santa Maria, Av. Roraima, 1000, 97105-900, Santa Maria, Rio Grande do Sul, Brazil
| | - Stefan Plattner
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Antonio Ruiz Verdú
- Laboratory for Earth Observation, University of Valencia, Catedrático Agustín Escardino 9, Paterna (Valencia), 46980, Spain
| | - Salem I Salem
- Faculty of Engineering, Kyoto University of Advanced Science (KUAS), 18 Yamanouchi Gotanda, Ukyo, Kyoto, Japan
| | - John F Schalles
- Creighton University, Department of Biology, Omaha, NE, 68178, USA
| | | | - Eko Siswanto
- Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Showa-machi 3173-25, Yokohama, Kanagawa, 2360001, Japan
| | - Brandon Smith
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA.,NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Ian Somlai-Schweiger
- German Aerospace Center (DLR), Remote Sensing Technology Institute, Wessling, Germany
| | - Mariana A Soppa
- Phytooptics Group, Physical Oceanography of Polar Seas, Climate Sciences, Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
| | - Evangelos Spyrakos
- Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | - Elinor Tessin
- Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - Hendrik J van der Woerd
- Department of Water & Climate Risk, Institute for Environmental Studies (IVM), Vrije Universiteit, Amsterdam, Netherlands
| | | | - Ryan A Vandermeulen
- Science Systems and Applications, Inc. (SSAI), Lanham, MD, USA.,Ocean Ecology Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Vincent Vantrepotte
- Université du Littoral Côte d'Opale, CNRS, Univ. Lille, IRD, UMR 8187 - LOG - Laboratoire d'Océanologie et de Géosciences, F-62930, Wimereux, France
| | - Marcel R Wernand
- Royal Netherlands Institute for Sea Research, Physical Oceanography, Marine Optics & Remote Sensing, Den Burg, Texel, Netherlands
| | - Mortimer Werther
- Swiss Federal Institute of Aquatic Science and Technology, Department of Surface Waters - Research and Management, Dübendorf, Switzerland.,Earth and Planetary Observation Sciences (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK
| | - Kyana Young
- Wake Forest University, Engineering, 455 Vine Street, Winston-Salem, NC, 27101, USA
| | - Linwei Yue
- China University of Geosciences, School of Geography and Information Engineering, Wuhan, China
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3
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El Serafy GY, Schaeffer BA, Neely MB, Spinosa A, Odermatt D, Weathers KC, Baracchini T, Bouffard D, Carvalho L, Conmy RN, De Keukelaere L, Hunter PD, Jamet C, Joehnk KD, Johnston JM, Knudby A, Minaudo C, Pahlevan N, Reusen I, Rose KC, Schalles J, Tzortziou M. Integrating Inland and Coastal Water Quality Data for Actionable Knowledge. Remote Sens (Basel) 2021; 13:1-24. [PMID: 36817948 PMCID: PMC9933521 DOI: 10.3390/rs13152899] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data, via data assimilation, can result in a more holistic characterization of these highly dynamic ecosystems, and consequently improve water resource management. It is becoming common to see combinations of these data applied to answer relevant scientific questions. Yet, methods for scaling water quality data across regions and beyond, to provide actionable knowledge for stakeholders, have emerged only recently, particularly with the availability of satellite data now providing global coverage at high spatial resolution. In this paper, data sources and existing data integration frameworks are reviewed to give an overview of the present status and identify the gaps in existing frameworks. We propose an integration framework to provide information to user communities through the the Group on Earth Observations (GEO) AquaWatch Initiative. This aims to develop and build the global capacity and utility of water quality data, products, and information to support equitable and inclusive access for water resource management, policy and decision making.
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Affiliation(s)
- Ghada Y.H. El Serafy
- Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands
- Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands
- Correspondence:
| | - Blake A. Schaeffer
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | - Merrie-Beth Neely
- Global Science & Technology, 7855 Walker Drive, Suite 200, Greenbelt, MD 20770, USA
| | - Anna Spinosa
- Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands
- Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands
| | - Daniel Odermatt
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
| | | | - Theo Baracchini
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Damien Bouffard
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland
| | | | - Robyn N. Conmy
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | | | - Peter D. Hunter
- Earth and Planetary Observation Science (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, FK9 4LA Stirling, UK
| | - Cédric Jamet
- Univ. Littoral Cote d’Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France
| | - Klaus D. Joehnk
- CSIRO Land and Water, Clunies Ross Street, Canberra ACT 2601, Australia
| | - John M. Johnston
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | - Anders Knudby
- Department of Geography, Environment and Geomatics, University of Ottawa, 60 University, Ottawa, ON K1N 6N5, Canada
| | - Camille Minaudo
- School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Nima Pahlevan
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
- Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
| | - Ils Reusen
- VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium
| | - Kevin C. Rose
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - John Schalles
- Creighton University, 2500 California Plaza, Omaha, NE 68178, USA
| | - Maria Tzortziou
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
- The City College of New York, City University of New York, New York, NY 10003, USA
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Ho JC, Michalak AM, Pahlevan N. Reply to: Concerns about phytoplankton bloom trends in global lakes. Nature 2021; 590:E48-E50. [PMID: 33597758 DOI: 10.1038/s41586-021-03255-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Jeff C Ho
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA. .,Department of Civil & Environmental Engineering, Stanford University, Stanford, CA, USA.
| | - Anna M Michalak
- Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, USA.
| | - Nima Pahlevan
- NASA Goddard Space Flight Center, Greenbelt, MD, USA.,Science Systems and Applications Inc., Lanham, MD, USA
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Muller‐Karger FE, Hestir E, Ade C, Turpie K, Roberts DA, Siegel D, Miller RJ, Humm D, Izenberg N, Keller M, Morgan F, Frouin R, Dekker AG, Gardner R, Goodman J, Schaeffer B, Franz BA, Pahlevan N, Mannino AG, Concha JA, Ackleson SG, Cavanaugh KC, Romanou A, Tzortziou M, Boss ES, Pavlick R, Freeman A, Rousseaux CS, Dunne J, Long MC, Klein E, McKinley GA, Goes J, Letelier R, Kavanaugh M, Roffer M, Bracher A, Arrigo KR, Dierssen H, Zhang X, Davis FW, Best B, Guralnick R, Moisan J, Sosik HM, Kudela R, Mouw CB, Barnard AH, Palacios S, Roesler C, Drakou EG, Appeltans W, Jetz W. Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems. Ecol Appl 2018; 28:749-760. [PMID: 29509310 PMCID: PMC5947264 DOI: 10.1002/eap.1682] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2017] [Revised: 10/30/2017] [Accepted: 12/08/2017] [Indexed: 05/27/2023]
Abstract
The biodiversity and high productivity of coastal terrestrial and aquatic habitats are the foundation for important benefits to human societies around the world. These globally distributed habitats need frequent and broad systematic assessments, but field surveys only cover a small fraction of these areas. Satellite-based sensors can repeatedly record the visible and near-infrared reflectance spectra that contain the absorption, scattering, and fluorescence signatures of functional phytoplankton groups, colored dissolved matter, and particulate matter near the surface ocean, and of biologically structured habitats (floating and emergent vegetation, benthic habitats like coral, seagrass, and algae). These measures can be incorporated into Essential Biodiversity Variables (EBVs), including the distribution, abundance, and traits of groups of species populations, and used to evaluate habitat fragmentation. However, current and planned satellites are not designed to observe the EBVs that change rapidly with extreme tides, salinity, temperatures, storms, pollution, or physical habitat destruction over scales relevant to human activity. Making these observations requires a new generation of satellite sensors able to sample with these combined characteristics: (1) spatial resolution on the order of 30 to 100-m pixels or smaller; (2) spectral resolution on the order of 5 nm in the visible and 10 nm in the short-wave infrared spectrum (or at least two or more bands at 1,030, 1,240, 1,630, 2,125, and/or 2,260 nm) for atmospheric correction and aquatic and vegetation assessments; (3) radiometric quality with signal to noise ratios (SNR) above 800 (relative to signal levels typical of the open ocean), 14-bit digitization, absolute radiometric calibration <2%, relative calibration of 0.2%, polarization sensitivity <1%, high radiometric stability and linearity, and operations designed to minimize sunglint; and (4) temporal resolution of hours to days. We refer to these combined specifications as H4 imaging. Enabling H4 imaging is vital for the conservation and management of global biodiversity and ecosystem services, including food provisioning and water security. An agile satellite in a 3-d repeat low-Earth orbit could sample 30-km swath images of several hundred coastal habitats daily. Nine H4 satellites would provide weekly coverage of global coastal zones. Such satellite constellations are now feasible and are used in various applications.
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Pahlevan N, Roger JC, Ahmad Z. Revisiting short-wave-infrared (SWIR) bands for atmospheric correction in coastal waters. Opt Express 2017; 25:6015-6035. [PMID: 28380959 DOI: 10.1364/oe.25.006015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The shortwave infrared (SWIR) bands on the existing Earth Observing missions like MODIS have been designed to meet land and atmospheric science requirements. The future geostationary and polar-orbiting ocean color missions, however, require highly sensitive SWIR bands (> 1550nm) to allow for a precise removal of aerosol contributions. This will allow for reasonable retrievals of the remote sensing reflectance (Rrs) using standard NASA atmospheric corrections over turbid coastal waters. Design, fabrication, and maintaining high-performance SWIR bands at very low signal levels bear significant costs on dedicated ocean color missions. This study aims at providing a full analysis of the utility of alternative SWIR bands within the 1600nm atmospheric window if the bands within the 2200nm window were to be excluded due to engineering/cost constraints. Following a series of sensitivity analyses for various spectral band configurations as a function of water vapor amount, we chose spectral bands centered at 1565 and 1675nm as suitable alternative bands within the 1600nm window for a future geostationary imager. The sensitivity of this band combination to different aerosol conditions, calibration uncertainties, and extreme water turbidity were studied and compared with that of all band combinations available on existing polar-orbiting missions. The combination of the alternative channels was shown to be as sensitive to test aerosol models as existing near-infrared (NIR) band combinations (e.g., 748 and 869nm) over clear open ocean waters. It was further demonstrated that while in extremely turbid waters the 1565/1675 band pair yields Rrs retrievals as good as those derived from all other existing SWIR band pairs (> 1550nm), their total calibration uncertainties must be < 1% to meet current science requirements for ocean color retrievals (i.e., Δ Rrs (443) < 5%). We further show that the aerosol removal using the NIR and SWIR bands (available on the existing polar-orbiting missions) can be very sensitive to calibration uncertainties. This requires the need for monitoring the calibration of these bands to ensure consistent multi-mission ocean color products in coastal/inland waters.
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Abstract
With increasing demands for ocean color (OC) products with improved accuracy and well characterized, per-retrieval uncertainty budgets, it is vital to decompose overall estimated errors into their primary components. Amongst various contributing elements (e.g., instrument calibration, atmospheric correction, inversion algorithms) in the uncertainty of an OC observation, less attention has been paid to uncertainties associated with spatial sampling. In this paper, we simulate MODIS and VIIRS OC products from 30m resolution OC products derived from the Operational Land Imager (OLI) aboard Landsat-8, to examine impacts of spatial sampling on both cross-sensor product intercomparisons and in-situ validations of Rrs products in coastal waters. The simulations were carried out for OLI scenes "scanned" for one full orbital-repeat cycle of each ocean color satellite. While some view-angle dependent differences in simulated Aqua-MODIS and VIIRS were observed, the average uncertainties (absolute) in product intercomparisons (due to differences in spatial sampling) at regional scales are found to be 1.8%, 1.9%, 2.4%, 4.3%, 2.7%, 1.8%, and 4% for the Rrs(443), Rrs(482), Rrs(561), Rrs(655), [Chla], Kd(482), and bbp(655) products, respectively. It is also found that, depending on in-water spatial variability and the sensor's footprint size, the errors for an in-situ validation location in coastal areas can reach as high as ±18%. We conclude that a) expected biases induced by the spatial sampling in product intercomparisons are mitigated when products are averaged over at least 7km×7km windows, b) VIIRS observations, with improved consistency in cross-track spatial sampling yields more precise calibration/validation results than MODIS, and c) use of a single pixel centered on in-situ coastal sites provides an optimal sampling size for validation efforts. These findings will have implications for enhancing our understanding of uncertainties in ocean color retrievals and for planning of future calibration/validation exercises.
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Affiliation(s)
- Nima Pahlevan
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD, 20771
- Science Systems and Applications, Inc., 10210 Greenbelt Rd, Suite 600, Lanham, MD 20706
| | - Sudipta Sarkar
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD, 20771
- Science Systems and Applications, Inc., 10210 Greenbelt Rd, Suite 600, Lanham, MD 20706
| | - Bryan A Franz
- NASA Goddard Space Flight Center, 8800 Greenbelt Rd, Greenbelt, MD, 20771
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Wei J, Lee Z, Lewis M, Pahlevan N, Ondrusek M, Armstrong R. Radiance transmittance measured at the ocean surface. Opt Express 2015; 23:11826-11837. [PMID: 25969274 DOI: 10.1364/oe.23.011826] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
The radiance transmittance (Tr) is the ratio of the water-leaving radiance (Lw(0+)) to the sub-surface upwelling radiance (Lu(0-)), which is an important optical parameter for ocean optics and ocean color remote sensing. Historically, a constant value (~0.54) based on theoretical presumptions has been adopted for Tr and is widely used. This optical parameter, however, has never been measured in the aquatic environments. With a robust setup to measure both Lu(0-) and Lw(0+) simultaneously in the field, this study presents Tr in the zenith direction between 350 and 700 nm measured in a wide range of oceanic waters. It is found that the measured Tr values are generally consistent with the long-standing theoretical value of 0.54, with mean relative difference less than 10%. In particular, the agreement within the spectral domain of 400-600 nm is found to be the best (with the averaged difference less than 5%). The largest difference is observed for wavelengths longer than 600 nm with the average difference less than 15%, which is related to the generally very small values in both Lu(0-) and Lw(0+) and rough environmental conditions. These results provide a validation of the setup for simultaneous measurements of upwelling radiance and water-leaving radiance and confidence in the theoretical Tr value used in ocean optics studies at least for oceanic waters.
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Pahlevan N, Lee Z, Hu C, Schott JR. Diurnal remote sensing of coastal/oceanic waters: a radiometric analysis for Geostationary Coastal and Air Pollution Events. Appl Opt 2014; 53:648-665. [PMID: 24514182 DOI: 10.1364/ao.53.000648] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2013] [Accepted: 12/10/2013] [Indexed: 06/03/2023]
Abstract
Optical remote sensing systems aboard geostationary platforms can provide high-frequency observations of bio-optical properties in dynamical coastal/oceanic waters. From the end-user standpoint, it is recognized that the fidelity of daily science products relies heavily on the radiometric sensitivity/performance of the imaging system. This study aims to determine the theoretical detection limits for bio-optical properties observed diurnally from a geostationary orbit. The analysis is based upon coupled radiative transfer simulations and the minimum radiometric requirements defined for the GEOstationary Coastal and Air Pollution Events (GEO-CAPE) mission. The diurnal detection limits are found for the optically active constituents of water, including near-surface concentrations of chlorophyll-a (CHL) and total suspended solids (TSS), and the absorption of colored dissolved organic matter (aCDOM). The diurnal top-of-atmosphere radiance (Lt) is modeled for several locations across the field of regard (FOR) to investigate the radiometric sensitivity at different imaging geometries. It is found that, in oceanic waters (CHL=0.07 mg/m3), detecting changes smaller than 0.01 mg/m3 in CHL is feasible for all locations and hours except for late afternoon observations on the edge of the FOR. For more trophic/turbid waters (0.6<CHL<4.5), the proposed system is found sensitive to changes (in CHL) smaller than 0.1 mg/m3 when the air mass fraction (AMF) is less than 5. For aCDOM(440), detecting the changes larger than 0.02 m(-1) (0.08<aCDOM(440)<0.36) is found feasible for most of the imaging geometries. This is equivalent to AMF<5. For TSS, changes on the order of ΔTSS=0.1 g/m3 (0.5<TSS<4.5) are detectable from early morning to late afternoon across the entire FOR. This study gives insights into the radiometric sensitivity of the GEO-CAPE mission in identifying the changes in bio-optical properties at top-of-atmosphere (TOA), which aids in a more lucid understanding of the uncertainties associated with the surface products.
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Lee Z, Pahlevan N, Ahn YH, Greb S, O'Donnell D. Robust approach to directly measuring water-leaving radiance in the field. Appl Opt 2013; 52:1693-1701. [PMID: 23478774 DOI: 10.1364/ao.52.001693] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2012] [Accepted: 02/06/2013] [Indexed: 06/01/2023]
Abstract
It has been a long-standing goal to precisely measure water-leaving radiance (L(w), or its equivalent property, remote-sensing reflectance) in the field, but reaching this goal is quite a challenge. This is because conventional approaches do not provide a direct measurement of L(w), but rather measure various related components and subsequently derive this core property from these components. Due to many uncontrollable factors in the measurement procedure and imprecise post-measurement processing routines, the resulting L(w) is inherently associated with various levels of uncertainties. Here we present a methodology called the skylight-blocked approach (SBA) to measure L(w) directly in the field, along with results obtained recently in the Laurentian Great Lakes. These results indicate that SBA can measure L(w) in high precision. In particular, there is no limitation of water types for the deployment of SBA, and the requirement of post-measurement processing is minimum; thus high-quality L(w) for a wide range of aquatic environments can be acquired.
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Affiliation(s)
- ZhongPing Lee
- Department of Environmental, Earth and Ocean Sciences, University of Massachusetts Boston, Boston, Massachusetts 02125, USA.
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