Integrating Inland and Coastal Water Quality Data for Actionable Knowledge.

Autor: El Serafy GYH; Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands.; Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands., Schaeffer BA; U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA., Neely MB; Global Science & Technology, 7855 Walker Drive, Suite 200, Greenbelt, MD 20770, USA., Spinosa A; Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands.; Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands., Odermatt D; EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland., Weathers KC; Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA., Baracchini T; EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland.; School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland., Bouffard D; EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland., Carvalho L; UK Centre for Ecology & Hydrology, Penicuik, EH26 0QB, UK., Conmy RN; U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA., De Keukelaere L; VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium., Hunter PD; Earth and Planetary Observation Science (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, FK9 4LA Stirling, UK., Jamet C; Univ. Littoral Cote d'Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, F 62930 Wimereux, France., Joehnk KD; CSIRO Land and Water, Clunies Ross Street, Canberra ACT 2601, Australia., Johnston JM; U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA., Knudby A; Department of Geography, Environment and Geomatics, University of Ottawa, 60 University, Ottawa, ON K1N 6N5, Canada., Minaudo C; School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland., Pahlevan N; NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA.; Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA., Reusen I; VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium., Rose KC; Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA., Schalles J; Creighton University, 2500 California Plaza, Omaha, NE 68178, USA., Tzortziou M; NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA.; The City College of New York, City University of New York, New York, NY 10003, USA.
Jazyk: angličtina
Zdroj: Remote sensing [Remote Sens (Basel)] 2021 Jul 23; Vol. 13 (15), pp. 1-24.
DOI: 10.3390/rs13152899
Abstrakt: Water quality measures for inland and coastal waters are available as discrete samples from professional and volunteer water quality monitoring programs and higher-frequency, near-continuous data from automated in situ sensors. Water quality parameters also are estimated from model outputs and remote sensing. The integration of these data, via data assimilation, can result in a more holistic characterization of these highly dynamic ecosystems, and consequently improve water resource management. It is becoming common to see combinations of these data applied to answer relevant scientific questions. Yet, methods for scaling water quality data across regions and beyond, to provide actionable knowledge for stakeholders, have emerged only recently, particularly with the availability of satellite data now providing global coverage at high spatial resolution. In this paper, data sources and existing data integration frameworks are reviewed to give an overview of the present status and identify the gaps in existing frameworks. We propose an integration framework to provide information to user communities through the the Group on Earth Observations (GEO) AquaWatch Initiative. This aims to develop and build the global capacity and utility of water quality data, products, and information to support equitable and inclusive access for water resource management, policy and decision making.
Competing Interests: Conflicts of Interest: The authors declare no conflict of interest.
Databáze: MEDLINE
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