Integrating Inland and Coastal Water Quality Data for Actionable Knowledge

Remote Sensing

Klaus D. Joehnk¹  Kathleen C. Weathers²  John Schalles³  Ghada Y.H. El Serafy⁴  Anna Spinosa⁴  Kevin C. Rose⁵  Anders Knudby⁶  Damien Bouffard⁷  Daniel Odermatt⁸  Theo Baracchini⁸  Peter D. Hunter⁹  Merrie-Beth Neely^1,10  Maria Tzortziou^1,11  Nima Pahlevan^1,11  Camille Minaudo^1,12  John M. Johnston^1,13  Blake A. Schaeffer^1,13  Robyn N. Conmy^1,13  Laurence Carvalho^1,14  Cédric Jamet^1,15  Liesbeth De Keukelaere^1,16  Ils Reusen^1,16 

[1] CSIRO Land and Water, Clunies Ross Street, Canberra, ACT 2601, Australia;Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA;Creighton University, 2500 California Plaza, Omaha, NE 68178, USA;Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands;Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA;Department of Geography, Environment and Geomatics, University of Ottawa, 60 University, Ottawa, ON K1N 6N5, Canada;EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland;EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland;Earth and Planetary Observation Science (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, FK9 4LA Stirling, UK;Global Science & Technology, 7855 Walker Drive, Suite 200, Greenbelt, MD 20770, USA;NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA;School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland;U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA;UK Centre for Ecology & Hydrology, Penicuik EH26 0QB, UK;Univ. Littoral Cote d’Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France;VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium;

关键词: water quality;    remote sensing;    lake;    estuary;    coastal;    sensors;   

DOI  :  10.3390/rs13152899

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown