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El Serafy GY, Schaeffer BA, Neely MB, Spinosa A, Odermatt D, Weathers KC, Baracchini T, Bouffard D, Carvalho L, Conmy RN, De Keukelaere L, Hunter PD, Jamet C, Joehnk KD, Johnston JM, Knudby A, Minaudo C, Pahlevan N, Reusen I, Rose KC, Schalles J, Tzortziou M. Integrating Inland and Coastal Water Quality Data for Actionable Knowledge. REMOTE SENSING 2021; 13:1-24. [PMID: 36817948 PMCID: PMC9933521 DOI: 10.3390/rs13152899] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
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.
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Affiliation(s)
- Ghada Y.H. El Serafy
- Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands
- Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands
| | - Blake A. Schaeffer
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | - Merrie-Beth Neely
- Global Science & Technology, 7855 Walker Drive, Suite 200, Greenbelt, MD 20770, USA
| | - Anna Spinosa
- Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands
- Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands
| | - Daniel Odermatt
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
| | | | - Theo Baracchini
- 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
| | - Damien Bouffard
- EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland
| | | | - Robyn N. Conmy
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | | | - Peter D. Hunter
- Earth and Planetary Observation Science (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, FK9 4LA Stirling, UK
| | - Cédric Jamet
- Univ. Littoral Cote d’Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, F 62930 Wimereux, France
| | - Klaus D. Joehnk
- CSIRO Land and Water, Clunies Ross Street, Canberra ACT 2601, Australia
| | - John M. Johnston
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA
| | - Anders Knudby
- Department of Geography, Environment and Geomatics, University of Ottawa, 60 University, Ottawa, ON K1N 6N5, Canada
| | - Camille Minaudo
- School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque Fédérale de Lausanne, 1015 Lausanne, Switzerland
| | - Nima Pahlevan
- NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA
- Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
| | - Ils Reusen
- VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium
| | - Kevin C. Rose
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA
| | - John Schalles
- Creighton University, 2500 California Plaza, Omaha, NE 68178, USA
| | - Maria Tzortziou
- 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
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Luis KMA, Rheuban JE, Kavanaugh MT, Glover DM, Wei J, Lee Z, Doney SC. Capturing coastal water clarity variability with Landsat 8. MARINE POLLUTION BULLETIN 2019; 145:96-104. [PMID: 31590839 DOI: 10.1016/j.marpolbul.2019.04.078] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 04/29/2019] [Accepted: 04/30/2019] [Indexed: 05/20/2023]
Abstract
Coastal water clarity varies at high temporal and spatial scales due to weather, climate, and human activity along coastlines. Systematic observations are crucial to assessing the impact of water clarity change on aquatic habitats. In this study, Secchi disk depths (ZSD) from Boston Harbor, Buzzards Bay, Cape Cod Bay, and Narragansett Bay water quality monitoring organizations were compiled to validate ZSD derived from Landsat 8 (L8) imagery, and to generate high spatial resolution ZSD maps. From 58 L8 images, acceptable agreement was found between in situ and L8 ZSD in Buzzards Bay (N = 42, RMSE = 0.96 m, MAPD = 28%), Cape Cod Bay (N = 11, RMSE = 0.62 m, MAPD = 10%), and Narragansett Bay (N = 8, RMSE = 0.59 m, MAPD = 26%). This work demonstrates the value of merging in situ ZSD with high spatial resolution remote sensing estimates for improved coastal water quality monitoring.
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Affiliation(s)
- Kelly M A Luis
- School for the Environment, University of Massachusetts Boston, Boston, MA, USA.
| | - Jennie E Rheuban
- Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
| | - Maria T Kavanaugh
- College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, OR 97330, USA
| | - David M Glover
- Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA
| | - Jianwei Wei
- School for the Environment, University of Massachusetts Boston, Boston, MA, USA
| | - Zhongping Lee
- School for the Environment, University of Massachusetts Boston, Boston, MA, USA
| | - Scott C Doney
- Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA; Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA
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