Monitoring Water Diversity and Water Quality with Remote Sensing and Traits

被引:7
作者
Lausch, Angela [1 ,2 ,3 ,4 ]
Bannehr, Lutz [4 ]
Berger, Stella A. [5 ]
Borg, Erik [6 ,7 ]
Bumberger, Jan [8 ,9 ,10 ]
Hacker, Jorg M. [11 ,12 ]
Heege, Thomas [13 ]
Hupfer, Michael [14 ,15 ]
Jung, Andras [16 ]
Kuhwald, Katja [17 ]
Oppelt, Natascha [17 ]
Pause, Marion [4 ]
Schrodt, Franziska [18 ]
Selsam, Peter [8 ]
von Trentini, Fabian [13 ]
Vohland, Michael [10 ,19 ]
Glaesser, Cornelia [3 ]
机构
[1] UFZ Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, Permoserstr 15, D-04318 Leipzig, Germany
[2] Humboldt Univ, Geog Dept, Landscape Ecol Lab, Unter Linden 6, D-10099 Berlin, Germany
[3] Martin Luther Univ Halle Wittenberg, Dept Phys Geog & Geoecol, Von Seckendorff Pl 4, D-06120 Halle, Germany
[4] Anhalt Univ Appl Sci, Inst Geoinformat & Land Surveying, Dept Architecture Facil Management & Geoinformat, Seminarplatz 2a, D-06846 Dessau, Germany
[5] Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Plankton & Microbial Ecol, Alten Fischerhutte 2, D-16775 Stechlin, Germany
[6] German Aerosp Ctr, German Remote Sensing Data Ctr, Natl Ground Segment, Kalkhorstweg 53, D-17235 Neustrelitz, Germany
[7] Univ Appl Sci, Fac Landscape Sci & Geoinformat, Brodaer Str 2, D-17033 Neubrandenburg, Germany
[8] UFZ Helmholtz Ctr Environm Res, Dept Monitoring & Explorat Technol, Permoserstr 15, D-04318 Leipzig, Germany
[9] UFZ Helmholtz Ctr Environm Res, Res Data Management RDM, Permoserstr 15, D-04318 Leipzig, Germany
[10] German Ctr Integrat Biodivers Res iDiv, Puschstr 4, D-04103 Leipzig, Germany
[11] Flinders Univ S Australia, Coll Sci & Engn, Adelaide, SA 5000, Australia
[12] Airborne Res Australia ARA, Adelaide, SA 5106, Australia
[13] EOMAP GmbH & Co KG, Schlosshof 4a, D-82229 Seefeld, Germany
[14] Leibniz Inst Freshwater Ecol & Inland Fisheries, Dept Ecohydrol & Biogeochem, Muggelseedamm 301, D-12587 Berlin, Germany
[15] Brandenburg Tech Univ Cottbus Senftenberg, Dept Aquat Ecol, Seestr 45, D-15526 Senftenberg, Germany
[16] Eotvos Lorand Univ, Inst Cartog & Geoinformat, Fac Informat, Pazmany Peter Setany 1-A, H-1117 Budapest, Hungary
[17] Christian Albrechts Univ Kiel, Dept Geog, Ludewig Meyn Str 8, D-24118 Kiel, Germany
[18] Univ Nottingham, Sch Geog, Univ Pk, Nottingham NG7 2RD, England
[19] Univ Leipzig, Inst Geog, Geoinformat & Remote Sensing, Johannisallee 19a, D-04103 Leipzig, Germany
关键词
water diversity; water quality; traits; earth observation; remote sensing; water trait diversity; water genesis diversity; water structural diversity; water taxonomic diversity; water functional diversity; SUSPENDED PARTICULATE MATTER; SUBMARINE GROUNDWATER DISCHARGE; SUBMERGED AQUATIC VEGETATION; CONVOLUTIONAL NEURAL-NETWORK; TIME-SERIES; SURFACE-WATER; FUNCTIONAL DIVERSITY; SEASONAL DYNAMICS; BATHYMETRIC LIDAR; CHANNEL MIGRATION;
D O I
10.3390/rs16132425
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:47
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