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Monitoring Water Diversity and Water Quality with Remote Sensing and Traits

Lausch, Angela and Bannehr, Lutz and Berger, Stella and Borg, Erik and Bumberger, Jan and Hacker, Jorg M. and Heege, Thomas and Hupfer, Michael and Jung, Andras and Kuhwald, Katja and Oppelt, Natascha and Pause, Marion and Schrodt, Franziska and Selsam, Peter and Trentini, von, Fabian and Vohland, Michael and Glässer, Cornelia (2024) Monitoring Water Diversity and Water Quality with Remote Sensing and Traits. Remote Sensing, 16 (13), pp. 1-48. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs16132425. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/journal/remotesensing

Abstract

Changes and disturbances to water diversity and quality are complex and multi-scale in space and time. Although in-situ methods provide detailed point information on the condition of water bodies, they are of limited use for making area-based monitoring over time, as aquatic eco-systems are extremely dynamic. Remote sensing (RS) provides methods and data for the cost-effective, comprehensive, continuous and standardised monitoring of characteristics and changes in characteristics of water diversity and water quality from local and regional scales to the scale of entire continents. In order to apply and better understand RS techniques and their derived spectral indicators in monitoring water diversity and quality, this paper defines five characteristics of water diversity and quality that can be monitored using RS. These are: the diversity of water traits, the diversity of water genese, the structural diversity of water, the taxonomic diversity of water and the functional diversity of water. It is essential to record the diversity of water traits f to derive the other four characteristics of water diversity from RS. Furthermore, traits are the only and most important interface between in-situ and RS monitoring approaches. The monitoring of these five characteristics of water diversity and water quality using RS technologies is presented in detail and discussed using numerous examples. Finally, current and future developments are presented to advance monitoring using RS and the trait approach in modelling, prediction and assessment as a basis for successful monitoring and management strategies.

Item URL in elib:https://elib.dlr.de/205073/
Document Type:Article
Title:Monitoring Water Diversity and Water Quality with Remote Sensing and Traits
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lausch, AngelaUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Bannehr, LutzInstitut for Geoinformation and SurveyingUNSPECIFIEDUNSPECIFIED
Berger, StellaLeibniz-Institut f. Gewässerökologie und BinnenfischereiUNSPECIFIEDUNSPECIFIED
Borg, ErikDepartment of National Ground Segment, German Aerospace Center (DLR), 17235 Neustrelitz, Germany;https://orcid.org/0000-0001-8288-8426171175583
Bumberger, JanUFZ Leipzig, Germanyhttps://orcid.org/0000-0003-3780-8663UNSPECIFIED
Hacker, Jorg M.College of Science and Engineering, Flinders UniversityUNSPECIFIEDUNSPECIFIED
Heege, ThomasEOMAP GmbH & Co. KG, GermanyUNSPECIFIEDUNSPECIFIED
Hupfer, MichaelDepartment of Ecohydrology and Biogeochemistry, Leibniz Institute of Freshwater Ecology and Inland FisheriesUNSPECIFIEDUNSPECIFIED
Jung, AndrasFaculty of Informatics, Institute of Cartography and Geoinformatics, Eötvös Loránd UniversityUNSPECIFIEDUNSPECIFIED
Kuhwald, KatjaDepartment of Geography, Christian-Albrechts-Universität zu KielUNSPECIFIEDUNSPECIFIED
Oppelt, NataschaDepartment of Geography, Christian-Albrechts-Universität zu KielUNSPECIFIEDUNSPECIFIED
Pause, MarionUFZUNSPECIFIEDUNSPECIFIED
Schrodt, FranziskaUniversity of NottinghamUNSPECIFIEDUNSPECIFIED
Selsam, PeterUFZ LeipzigUNSPECIFIEDUNSPECIFIED
Trentini, von, FabianEOMAP GmbH & Co. KG, GermanyUNSPECIFIEDUNSPECIFIED
Vohland, MichaelUniversity LeipzigUNSPECIFIEDUNSPECIFIED
Glässer, CorneliaUniversity HalleUNSPECIFIEDUNSPECIFIED
Date:1 July 2024
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:16
DOI:10.3390/rs16132425
Page Range:pp. 1-48
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
Series Name:Remote Sensing
ISSN:2072-4292
Status:Published
Keywords:water diversity; water quality; traits; earth observation; remote sensing; water trait diversity; water genese diversity; water structural diversity; water taxonomic diversity; water functional diversity
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Borg, Prof.Dr. Erik
Deposited On:07 Nov 2024 14:01
Last Modified:28 Jan 2025 14:43

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