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Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives

Giardino, Claudia and Brando, Vittorio and Gege, Peter and Pinnel, Nicole and Hochberg, Eric and Knaeps, E. and Reusen, Ils and Doerffer, Roland and Bresciani, Mariano and Braga, F. and Foerster, Saskia and Champollion, N. and Dekker, Arnold (2018) Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives. Surveys in Geophysics, pp. 1-29. Springer. DOI: 10.1007/s10712-018-9476-0 ISSN 0169-3298

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Official URL: https://link.springer.com/article/10.1007/s10712-018-9476-0

Abstract

Imaging spectrometry of non-oceanic aquatic ecosystems has been in development since the late 1980s when the first airborne hyperspectral sensors were deployed over lakes. Most water quality management applications were, however, developed using multispectral mid-spatial resolution satellites or coarse spatial resolution ocean colour satellites till now. This situation is about to change with a suite of upcoming imaging spectrometers being deployed from experimental satellites or from the International Space Station. We review the science of developing applications for inland and coastal aquatic ecosystems that often are a mixture of optically shallow and optically deep waters, with gradients of clear to turbid and oligotrophic to hypertrophic productive waters and with varying bottom visibility with and without macrophytes, macro-algae, benthic micro-algae or corals. As the spaceborne, airborne and in situ optical sensors become increasingly available and appropriate for aquatic ecosystem detection, monitoring and assessment, the science-based applications will need to be further developed to an operational level. The Earth Observation-derived information products will range from more accurate estimates of turbidity and transparency measures, chlorophyll, suspended matter and coloured dissolved organic matter concentration, to more sophisticated products such as particle size distributions, phytoplankton functional types or distinguishing sources of suspended and coloured dissolved matter, estimating water depth and mapping types of heterogeneous substrates. We provide an overview of past science, current state of the art and future directions so that early career scientists as well as aquatic ecosystem managers and associated industry groups may be prepared for the imminent deluge of imaging spectrometry data.

Item URL in elib:https://elib.dlr.de/120319/
Document Type:Article
Title:Imaging Spectrometry of Inland and Coastal Waters: State of the Art, Achievements and Perspectives
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Giardino, ClaudiaCNR, Italyhttps://orcid.org/0000-0002-3937-4988
Brando, VittorioCNR, ItalyUNSPECIFIED
Gege, Peterpeter.gege (at) dlr.dehttps://orcid.org/0000-0003-0939-5267
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204
Hochberg, EricBermuda Institute of Ocean Sciences, BermudaUNSPECIFIED
Knaeps, E.VITO, BelgiumUNSPECIFIED
Reusen, IlsFlemish Institute for Technological Research, Center for Remote Sensing and Earth Observation ProcessesUNSPECIFIED
Doerffer, RolandHZG, GermanyUNSPECIFIED
Bresciani, MarianoCNR, ItalyUNSPECIFIED
Braga, F.CNR, ItalyUNSPECIFIED
Foerster, SaskiaGFZ PotsdamUNSPECIFIED
Champollion, N.ISSI, SwitzerlandUNSPECIFIED
Dekker, ArnoldCSIRO; AustraliaUNSPECIFIED
Date:5 June 2018
Journal or Publication Title:Surveys in Geophysics
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI :10.1007/s10712-018-9476-0
Page Range:pp. 1-29
Publisher:Springer
ISSN:0169-3298
Status:Published
Keywords:Inland and coastal water, Imaging spectrometry, Biophysical Parameters, Spectral, spatial and temporal resolutions, Satellite observations
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):Vorhaben Spectroscopic Methods in Remote Sensing
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Experimental Methods
German Remote Sensing Data Center > Land Surface
Deposited By: Gege, Dr.rer.nat. Peter
Deposited On:18 Jun 2018 13:36
Last Modified:06 Sep 2019 15:17

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