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Deriving Nutrient Concentrations from Sentinel-3 OLCI Data in North-Eastern Baltic Sea. REMOTE SENSING 2022. [DOI: 10.3390/rs14061487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Nutrients are important elements in marine ecosystems and water quality, and have a major role in the eutrophication of water bodies. Monitoring nutrient loads is especially important for the Baltic Sea, which is especially sensitive to the eutrophication. Using optical remote sensing data in mapping total nitrogen (TN) and total phosphorus (TP) is challenging because these substances do not have a direct influence on the water optics that remote sensing sensors can detect. On the other hand, it would be very rewarding. In this study, more than 25,000 Sentinel-3 Ocean and Land Colour Instrument (OLCI) data algorithms were tested in order to detect the TN and TP concentrations in the Estonian marine waters between 2016–2021. The TN estimations were well derived for Estonian marine waters (R2 = 0.73, RMSE = 4.87 µmolN L−1, MAPE = 14%, n = 708), while the TP estimations were weaker (R2 = 0.38, RMSE = 0.23 µmolP L−1, MAPE = 24%, n = 730). The Estonian marine waters were divided into six geographic regions in order to study the effect of regional water quality on the TN and TP retrievals. The nutrient concentrations were derived in every region when spring and summer periods were treated separately. In this study, the detection of both nutrients was more successful in more closed areas with P deficiency, while in open sea areas it was more challenging. This study shows that it is possible to estimate nutrients, especially TN, from remote sensing data. Consequently, remote sensing could provide a reliable support to the conventional monitoring by covering large marine areas with high temporal and spatial resolution data.
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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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