Optical types of inland and coastal waters

Evangelos Spyrakos, Ruth O'Donnell, Peter D. Hunter, Claire Miller, Marian Scott, Stefan G.H. Simis, Claire Neil, Claudio C.F. Barbosa, Caren E. Binding, Shane Bradt, Mariano Bresciani, Giorgio Dall'Olmo, Claudia Giardino, Anatoly A. Gitelson, Tiit Kutser, Lin Li, Bunkei Matsushita, Victor Martinez-Vicente, Mark W. Matthews, Igor Ogashawara & 5 others Antonio Ruiz-Verdú, John Schalles, Emma Tebbs, Yunlin Zhang, Andrew N. Tyler

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters. We introduce a novel approach for clustering in situ hyperspectral water reflectance measurements (n = 4045) from multiple sources based on a functional data analysis. The resulting classification algorithm identified 13 spectrally distinct clusters of measurements in inland waters, and a further nine clusters from the marine environment. The distinction and characterization of OWTs was supported by the availability of a wide range of coincident data on biogeochemical and inherent optical properties from inland waters. Phylogenetic trees based on the shapes of cluster means were constructed to identify similarities among the derived clusters with respect to spectral diversity. This typification provides a valuable framework for a globally applicable EO scheme and the design of future EO missions.

Original languageEnglish (US)
Pages (from-to)846-870
Number of pages25
JournalLimnology and Oceanography
Volume63
Issue number2
DOIs
StatePublished - Mar 1 2018

Fingerprint

inland waters
coastal water
water
optical properties
information sources
typology
marine environment
optical property
biosphere
reflectance
data analysis
water quality
phylogenetics
inland water
ecosystems
monitoring
ecosystem
phylogeny

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Aquatic Science

Cite this

Spyrakos, E., O'Donnell, R., Hunter, P. D., Miller, C., Scott, M., Simis, S. G. H., ... Tyler, A. N. (2018). Optical types of inland and coastal waters. Limnology and Oceanography, 63(2), 846-870. https://doi.org/10.1002/lno.10674

Optical types of inland and coastal waters. / Spyrakos, Evangelos; O'Donnell, Ruth; Hunter, Peter D.; Miller, Claire; Scott, Marian; Simis, Stefan G.H.; Neil, Claire; Barbosa, Claudio C.F.; Binding, Caren E.; Bradt, Shane; Bresciani, Mariano; Dall'Olmo, Giorgio; Giardino, Claudia; Gitelson, Anatoly A.; Kutser, Tiit; Li, Lin; Matsushita, Bunkei; Martinez-Vicente, Victor; Matthews, Mark W.; Ogashawara, Igor; Ruiz-Verdú, Antonio; Schalles, John; Tebbs, Emma; Zhang, Yunlin; Tyler, Andrew N.

In: Limnology and Oceanography, Vol. 63, No. 2, 01.03.2018, p. 846-870.

Research output: Contribution to journalArticle

Spyrakos, E, O'Donnell, R, Hunter, PD, Miller, C, Scott, M, Simis, SGH, Neil, C, Barbosa, CCF, Binding, CE, Bradt, S, Bresciani, M, Dall'Olmo, G, Giardino, C, Gitelson, AA, Kutser, T, Li, L, Matsushita, B, Martinez-Vicente, V, Matthews, MW, Ogashawara, I, Ruiz-Verdú, A, Schalles, J, Tebbs, E, Zhang, Y & Tyler, AN 2018, 'Optical types of inland and coastal waters', Limnology and Oceanography, vol. 63, no. 2, pp. 846-870. https://doi.org/10.1002/lno.10674
Spyrakos E, O'Donnell R, Hunter PD, Miller C, Scott M, Simis SGH et al. Optical types of inland and coastal waters. Limnology and Oceanography. 2018 Mar 1;63(2):846-870. https://doi.org/10.1002/lno.10674
Spyrakos, Evangelos ; O'Donnell, Ruth ; Hunter, Peter D. ; Miller, Claire ; Scott, Marian ; Simis, Stefan G.H. ; Neil, Claire ; Barbosa, Claudio C.F. ; Binding, Caren E. ; Bradt, Shane ; Bresciani, Mariano ; Dall'Olmo, Giorgio ; Giardino, Claudia ; Gitelson, Anatoly A. ; Kutser, Tiit ; Li, Lin ; Matsushita, Bunkei ; Martinez-Vicente, Victor ; Matthews, Mark W. ; Ogashawara, Igor ; Ruiz-Verdú, Antonio ; Schalles, John ; Tebbs, Emma ; Zhang, Yunlin ; Tyler, Andrew N. / Optical types of inland and coastal waters. In: Limnology and Oceanography. 2018 ; Vol. 63, No. 2. pp. 846-870.
@article{fef6765be0c7494297d6f198cb77c941,
title = "Optical types of inland and coastal waters",
abstract = "Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters. We introduce a novel approach for clustering in situ hyperspectral water reflectance measurements (n = 4045) from multiple sources based on a functional data analysis. The resulting classification algorithm identified 13 spectrally distinct clusters of measurements in inland waters, and a further nine clusters from the marine environment. The distinction and characterization of OWTs was supported by the availability of a wide range of coincident data on biogeochemical and inherent optical properties from inland waters. Phylogenetic trees based on the shapes of cluster means were constructed to identify similarities among the derived clusters with respect to spectral diversity. This typification provides a valuable framework for a globally applicable EO scheme and the design of future EO missions.",
author = "Evangelos Spyrakos and Ruth O'Donnell and Hunter, {Peter D.} and Claire Miller and Marian Scott and Simis, {Stefan G.H.} and Claire Neil and Barbosa, {Claudio C.F.} and Binding, {Caren E.} and Shane Bradt and Mariano Bresciani and Giorgio Dall'Olmo and Claudia Giardino and Gitelson, {Anatoly A.} and Tiit Kutser and Lin Li and Bunkei Matsushita and Victor Martinez-Vicente and Matthews, {Mark W.} and Igor Ogashawara and Antonio Ruiz-Verd{\'u} and John Schalles and Emma Tebbs and Yunlin Zhang and Tyler, {Andrew N.}",
year = "2018",
month = "3",
day = "1",
doi = "10.1002/lno.10674",
language = "English (US)",
volume = "63",
pages = "846--870",
journal = "Limnology and Oceanography",
issn = "0024-3590",
publisher = "American Society of Limnology and Oceanography Inc.",
number = "2",

}

TY - JOUR

T1 - Optical types of inland and coastal waters

AU - Spyrakos, Evangelos

AU - O'Donnell, Ruth

AU - Hunter, Peter D.

AU - Miller, Claire

AU - Scott, Marian

AU - Simis, Stefan G.H.

AU - Neil, Claire

AU - Barbosa, Claudio C.F.

AU - Binding, Caren E.

AU - Bradt, Shane

AU - Bresciani, Mariano

AU - Dall'Olmo, Giorgio

AU - Giardino, Claudia

AU - Gitelson, Anatoly A.

AU - Kutser, Tiit

AU - Li, Lin

AU - Matsushita, Bunkei

AU - Martinez-Vicente, Victor

AU - Matthews, Mark W.

AU - Ogashawara, Igor

AU - Ruiz-Verdú, Antonio

AU - Schalles, John

AU - Tebbs, Emma

AU - Zhang, Yunlin

AU - Tyler, Andrew N.

PY - 2018/3/1

Y1 - 2018/3/1

N2 - Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters. We introduce a novel approach for clustering in situ hyperspectral water reflectance measurements (n = 4045) from multiple sources based on a functional data analysis. The resulting classification algorithm identified 13 spectrally distinct clusters of measurements in inland waters, and a further nine clusters from the marine environment. The distinction and characterization of OWTs was supported by the availability of a wide range of coincident data on biogeochemical and inherent optical properties from inland waters. Phylogenetic trees based on the shapes of cluster means were constructed to identify similarities among the derived clusters with respect to spectral diversity. This typification provides a valuable framework for a globally applicable EO scheme and the design of future EO missions.

AB - Inland and coastal waterbodies are critical components of the global biosphere. Timely monitoring is necessary to enhance our understanding of their functions, the drivers impacting on these functions and to deliver more effective management. The ability to observe waterbodies from space has led to Earth observation (EO) becoming established as an important source of information on water quality and ecosystem condition. However, progress toward a globally valid EO approach is still largely hampered by inconsistences over temporally and spatially variable in-water optical conditions. In this study, a comprehensive dataset from more than 250 aquatic systems, representing a wide range of conditions, was analyzed in order to develop a typology of optical water types (OWTs) for inland and coastal waters. We introduce a novel approach for clustering in situ hyperspectral water reflectance measurements (n = 4045) from multiple sources based on a functional data analysis. The resulting classification algorithm identified 13 spectrally distinct clusters of measurements in inland waters, and a further nine clusters from the marine environment. The distinction and characterization of OWTs was supported by the availability of a wide range of coincident data on biogeochemical and inherent optical properties from inland waters. Phylogenetic trees based on the shapes of cluster means were constructed to identify similarities among the derived clusters with respect to spectral diversity. This typification provides a valuable framework for a globally applicable EO scheme and the design of future EO missions.

UR - http://www.scopus.com/inward/record.url?scp=85043477465&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043477465&partnerID=8YFLogxK

U2 - 10.1002/lno.10674

DO - 10.1002/lno.10674

M3 - Article

VL - 63

SP - 846

EP - 870

JO - Limnology and Oceanography

JF - Limnology and Oceanography

SN - 0024-3590

IS - 2

ER -