Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117332
Title: Monitoring water diversity and water quality with remote sensing and traits
Author(s): Lausch, AngelaLook up in the Integrated Authority File of the German National Library
Bannehr, LutzLook up in the Integrated Authority File of the German National Library
Berger, Stella A.Look up in the Integrated Authority File of the German National Library
Borg, Erik
Bumberger, JanLook up in the Integrated Authority File of the German National Library
Hacker, Jörg M.Look up in the Integrated Authority File of the German National Library
Heege, Thomas
Hupfer, MichaelLook up in the Integrated Authority File of the German National Library
Jung, András
Kuhwald, Katja
Oppelt, NataschaLook up in the Integrated Authority File of the German National Library
Pause, MarionLook up in the Integrated Authority File of the German National Library
Schrodt, Franziska
Selsam, Peter
Trentini, Fabian vonLook up in the Integrated Authority File of the German National Library
Vohland, MichaelLook up in the Integrated Authority File of the German National Library
Gläßer, CorneliaLook up in the Integrated Authority File of the German National Library
Issue Date: 2024
Type: Article
Language: English
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 ecosystems 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 study 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 genesis, 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 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.
URI: https://opendata.uni-halle.de//handle/1981185920/119291
http://dx.doi.org/10.25673/117332
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Remote sensing
Publisher: MDPI
Publisher Place: Basel
Volume: 16
Issue: 13
Original Publication: 10.3390/rs16132425
Page Start: 1
Page End: 47
Appears in Collections:Open Access Publikationen der MLU

Files in This Item:
File Description SizeFormat 
remotesensing-16-02425-v2.pdf11.54 MBAdobe PDFThumbnail
View/Open