@Article{SpyrakosOHMSSNBBBBDGGKLMMMORSTZT:2018:OpTyIn,
author = "Spyrakos, Evangelos and O’Donnell, Ruth and Hunter, Peter D. and
Miller, Claire and Scott, Marian and Simis, Stefan G. H. and Neil,
Claire and Barbosa, Cl{\'a}udio Clemente Faria and Binding, Caren
E. and Bradt, Shane and Bresciani, Mariano and Dall’Olmo, Giorgio
and Giardino, Claudia and Gitelson, Anatoly A. and Kutser, Tiit
and Li, Lin and Matsushita, Bunkei and Martinez-Vicente, Victor
and Matthews, Mark W. and Ogashawara, Igor and Ruiz-Verdu, Antonio
and Schalles, John F. and Tebbs, Emma and Zhang, Yunlin and Tyler,
Andrew N.",
affiliation = "{University of Stirling} and {University of Glasgow} and
{University of Stirling} and {University of Glasgow} and
{University of Glasgow} and {Plymouth Marine Laboratory} and
{University of Stirling} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Environment and Climate Change Canada} and
{University of New Hampshire} and {Institute for Electromagnetic
Sensing of the Environment} and {Plymouth Marine Laboratory} and
{Institute for Electromagnetic Sensing of the Environment} and
{Israel Institute of Technology} and {University of Tartu} and
{Indiana University-Purdue University at Indianapolis} and
{University of Tsukuba} and {Plymouth Marine Laboratory} and
{CyanoLakes (Pty) Ltd} and {Indiana University-Purdue University
at Indianapolis} and {Universitat de Val{\`e}ncia Catedratico
Jos{\'e} Beltran} and {Creighton University} and {King’s College
London} and {Chinese Academy of Sciences} and {University of
Stirling}",
title = "Optical types of inland and coastal waters",
journal = "Limnology and Oceanography",
year = "2018",
volume = "63",
number = "2",
pages = "846--870",
month = "Mar.",
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.",
doi = "10.1002/lno.10674",
url = "http://dx.doi.org/10.1002/lno.10674",
issn = "0024-3590",
language = "en",
targetfile = "spyrakos_optical.pdf",
urlaccessdate = "04 maio 2024"
}