{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T06:00:41Z","timestamp":1776837641519,"version":"3.51.2"},"reference-count":157,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/rs13152899","type":"journal-article","created":{"date-parts":[[2021,7,25]],"date-time":"2021-07-25T22:07:00Z","timestamp":1627250820000},"page":"2899","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["Integrating Inland and Coastal Water Quality Data for Actionable Knowledge"],"prefix":"10.3390","volume":"13","author":[{"given":"Ghada Y.H.","family":"El Serafy","sequence":"first","affiliation":[{"name":"Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands"},{"name":"Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blake A.","family":"Schaeffer","sequence":"additional","affiliation":[{"name":"U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Merrie-Beth","family":"Neely","sequence":"additional","affiliation":[{"name":"Global Science & Technology, 7855 Walker Drive, Suite 200, Greenbelt, MD 20770, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7921-5922","authenticated-orcid":false,"given":"Anna","family":"Spinosa","sequence":"additional","affiliation":[{"name":"Deltares, Boussinesqweg 1, 2629 HV Delft, The Netherlands"},{"name":"Delft Institute of Applied Mathematics, Delft University of Technology, Mekelweg 5, 2628 CD Delft, The Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Odermatt","sequence":"additional","affiliation":[{"name":"EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 D\u00fcbendorf, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathleen C.","family":"Weathers","sequence":"additional","affiliation":[{"name":"Cary Institute of Ecosystem Studies, Millbrook, NY 12545, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theo","family":"Baracchini","sequence":"additional","affiliation":[{"name":"EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 8600 D\u00fcbendorf, Switzerland"},{"name":"School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque F\u00e9d\u00e9rale de Lausanne, 1015 Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Damien","family":"Bouffard","sequence":"additional","affiliation":[{"name":"EAWAG, Swiss Federal Institute of Aquatic Science and Technology, 6047 Kastanienbaum, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Laurence","family":"Carvalho","sequence":"additional","affiliation":[{"name":"UK Centre for Ecology & Hydrology, Penicuik EH26 0QB, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robyn N.","family":"Conmy","sequence":"additional","affiliation":[{"name":"U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6400-595X","authenticated-orcid":false,"given":"Liesbeth De","family":"Keukelaere","sequence":"additional","affiliation":[{"name":"VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter D.","family":"Hunter","sequence":"additional","affiliation":[{"name":"Earth and Planetary Observation Science (EPOS), Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, FK9 4LA Stirling, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6988-6506","authenticated-orcid":false,"given":"C\u00e9dric","family":"Jamet","sequence":"additional","affiliation":[{"name":"Univ. Littoral Cote d\u2019Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d\u2019Oc\u00e9anologie et de G\u00e9osciences, F 62930 Wimereux, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5972-4201","authenticated-orcid":false,"given":"Klaus D.","family":"Joehnk","sequence":"additional","affiliation":[{"name":"CSIRO Land and Water, Clunies Ross Street, Canberra, ACT 2601, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5886-7876","authenticated-orcid":false,"given":"John M.","family":"Johnston","sequence":"additional","affiliation":[{"name":"U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC 20460, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8970-8504","authenticated-orcid":false,"given":"Anders","family":"Knudby","sequence":"additional","affiliation":[{"name":"Department of Geography, Environment and Geomatics, University of Ottawa, 60 University, Ottawa, ON K1N 6N5, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Camille","family":"Minaudo","sequence":"additional","affiliation":[{"name":"School of Architecture, Civil and Environmental Engineering, Ecole Polytechinque F\u00e9d\u00e9rale de Lausanne, 1015 Lausanne, Switzerland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5454-5212","authenticated-orcid":false,"given":"Nima","family":"Pahlevan","sequence":"additional","affiliation":[{"name":"NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA"},{"name":"Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ils","family":"Reusen","sequence":"additional","affiliation":[{"name":"VITO Remote Sensing, Boeretang 200, 2400 Mol, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1292-9381","authenticated-orcid":false,"given":"Kevin C.","family":"Rose","sequence":"additional","affiliation":[{"name":"Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY 12180, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John","family":"Schalles","sequence":"additional","affiliation":[{"name":"Creighton University, 2500 California Plaza, Omaha, NE 68178, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maria","family":"Tzortziou","sequence":"additional","affiliation":[{"name":"NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA"},{"name":"The City College of New York, City University of New York, New York, NY 10003, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,23]]},"reference":[{"key":"ref_1","unstructured":"Neeley, A.R., Mannino, A., Reynolds, R.A., Roesler, C., Rottgers, R., Stramski, D., Twardowski, M., and Zaneveld, J.R.V. (2018). Ocean Optics & Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, IOCCG."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6110","DOI":"10.1002\/2015WR017114","article-title":"The Future of Water Resources Systems Analysis: Toward a Scientific Framework for Sustainable Water Management","volume":"51","author":"Brown","year":"2015","journal-title":"Water Resour. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"7534","DOI":"10.1080\/01431161.2013.823524","article-title":"Barriers to Adopting Satellite Remote Sensing for Water Quality Management","volume":"34","author":"Schaeffer","year":"2013","journal-title":"Int. J. Remote. Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1177\/016224390102600404","article-title":"Integrating Climate Forecasts and Societal Decision Making: Challenges to an Emergent Boundary Organization","volume":"26","author":"Agrawala","year":"2001","journal-title":"Sci. Technol. Hum. Values"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"680","DOI":"10.1016\/j.gloenvcha.2010.11.006","article-title":"Creating Usable Science: Opportunities and Constraints for Climate Knowledge Use and Their Implications for Science Policy","volume":"21","author":"Dilling","year":"2011","journal-title":"Glob. Environ. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.gloenvcha.2004.09.004","article-title":"The Co-Production of Science and Policy in Integrated Climate Assessments","volume":"15","author":"Lemos","year":"2005","journal-title":"Glob. Environ. Chang."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Dietze, M.C. (2017). Ecological Forecasting, Princeton University Press.","DOI":"10.1515\/9781400885459"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2485","DOI":"10.1002\/lno.11465","article-title":"Relative Importance of Top-Down vs Bottom-up Control of Lake Phytoplankton Vertical Distributions Varies among Fluorescence-Based Spectral Groups","volume":"65","author":"Lofton","year":"2020","journal-title":"Limnol. Oceanogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e2019JB018899","DOI":"10.1029\/2019JB018899","article-title":"Permeability of Three-Dimensional Numerically Grown Geomechanical Discrete Fracture Networks with Evolving Geometry and Mechanical Apertures","volume":"125","author":"Thomas","year":"2020","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"160018","DOI":"10.1038\/sdata.2016.18","article-title":"Comment: The Fair Guiding Principles for Scientific Data Management and Stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Sci. Data"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1038\/nature08227","article-title":"Early-Warning Signals for Critical Transitions","volume":"461","author":"Scheffer","year":"2009","journal-title":"Nature"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10661-020-8224-3","article-title":"Capacity Challenges in Water Quality Monitoring: Understanding the Role of Human Development","volume":"192","author":"Kirschke","year":"2020","journal-title":"Environ. Monit. Assess."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.ijdrr.2018.09.015","article-title":"Satellite Remote Sensing for Disaster Management Support: A Holistic and Staged Approach Based on Case Studies in Sentinel Asia","volume":"33","author":"Kaku","year":"2019","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1431","DOI":"10.1175\/BAMS-D-13-00047.1","article-title":"The Concept of Essential Climate Variables in Support of Climate Research, Applications, and Policy","volume":"95","author":"Bojinski","year":"2014","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1016\/j.cosust.2013.11.009","article-title":"Earth observations for global water security","volume":"5","author":"Lawford","year":"2013","journal-title":"Curr. Opin. Environ. Sustain."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1126\/science.1229931","article-title":"Essential Biodiversity Variables","volume":"339","author":"Pereira","year":"2013","journal-title":"Science"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Dickey, T., Lewis, M., and Chang, G. (2006). Optical Oceanography: Recent Advances and Future Directions Using Global Remote Sensing and in Situ Observations. Rev. Geophys., 44.","DOI":"10.1029\/2003RG000148"},{"key":"ref_18","unstructured":"Neeley, A., and Mannino, A. (2018). Inherent Optical Property Measurements and Protocols: Absorption Coefficient. Ioccg Protocol Series: Ocean Optics & Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, IOCCG."},{"key":"ref_19","unstructured":"Boss, E.N.H., Steven, A.G., Balch, B., Chase, A., Dall\u2019Olmo, G., Freeman, S., Liu, Y., Loftin, J., and Neary, W. (2019). Inherent Optical Property Measurements and Protocols: Best Practices for the Collection and Processing of Ship-Based Underway Flow-through Optical Data. Ioccg Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, IOCCG."},{"key":"ref_20","unstructured":"Neeley, A., and Cetini\u0107, I. (2019). Beam Transmission and Attenuation Coefficients: Instruments, Characterization, Field Measurements and Data Analysis Protocols. Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, IOCCG."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Ruddick, K.G., Voss, K., Banks, A.C., Boss, E., Castagna, A., Frouin, R., Hieronymi, M., Jamet, C., Johnson, B.C., and Kuusk, J. (2019). A Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water. Remote Sens., 11.","DOI":"10.3390\/rs11151742"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ruddick, K.G., Voss, K., Boss, E., Castagna, A., Frouin, R., Gilerson, A., Hieronymi, M., Johnson, B.C., Kuusk, J., and Lee, Z. (2019). A Review of Protocols for Fiducial Reference Measurements of Water-Leaving Radiance for Validation of Satellite Remote-Sensing Data over Water. Remote Sens., 11.","DOI":"10.3390\/rs11192198"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Tilstone, G., Dall\u2019Olmo, G., Hieronymi, M., Ruddick, K., Beck, M., Ligi, M., Costa, M., D\u2019alimonte, D., Vellucci, V., and Vansteenwegen, D. (2020). Field Intercomparison of Radiometer Measurements for Ocean Colour Validation. Remote Sens., 12.","DOI":"10.3390\/rs12101587"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Vabson, V., Kuusk, J., Ansko, I., Vendt, R., Alikas, K., Ruddick, K., Ansper, A., Bresciani, M., Burmester, H., and Costa, M. (2019). Laboratory Intercomparison of Radiometers Used for Satellite Validation in the 400\u2013900 Nm Range. Remote Sens., 11.","DOI":"10.3390\/rs11091101"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Vabson, V., Kuusk, J., Ansko, I., Vendt, R., Alikas, K., Ruddick, K., Ansper, A., Bresciani, M., Burmester, H., and Costa, M. (2019). Field Intercomparison of Radiometers Used for Satellite Validation in the 400\u2013900 Nm Range. Remote Sens., 11.","DOI":"10.3390\/rs11091129"},{"key":"ref_26","unstructured":"Zibordi, G., Voss, K.J., Johnson, B.C., and Mueller, J.L. (2019). IOCCG Ocean Optics and Biogeochemistry Protocols for Satellite Ocean Colour Sensor Validation, IOCCG."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1080\/IW-6.4.1051","article-title":"Insights from the Global Lake Ecological Observatory Network (Gleon)","volume":"6","author":"Rose","year":"2016","journal-title":"Inland Waters"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Banks, A.C., Vendt, R., Alikas, K., Bialek, A., Kuusk, J., Lerebourg, C., Ruddick, K., Tilstone, G., Vabson, V., and Donlon, C. (2020). Fiducial Reference Measurements for Satellite Ocean Colour (Frm4soc). Remote Sens., 12.","DOI":"10.3390\/rs12081322"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1175\/2010JTECHO755.1","article-title":"Underway and Moored Methods for Improving Accuracy in Measurement of Spectral Particulate Absorption and Attenuation","volume":"27","author":"Slade","year":"2010","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.mio.2013.09.001","article-title":"Underway Sampling of Marine Inherent Optical Properties on the Tara Oceans Expedition as a Novel Resource for Ocean Color Satellite Data Product Validation","volume":"7","author":"Werdell","year":"2013","journal-title":"Methods Oceanogr."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"18","DOI":"10.5670\/oceanog.2017.213","article-title":"The Argo Program: Present and Future","volume":"30","author":"Jayne","year":"2017","journal-title":"Oceanography"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1175\/2007JTECHO563.1","article-title":"The Boussole Buoy\u2014A New Transparent-to-Swell Taut Mooring Dedicated to Marine Optics: Design, Tests, and Performance at Sea","volume":"25","author":"Antoine","year":"2008","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1146\/annurev-marine-010419-010956","article-title":"Observing the Global Ocean with Biogeochemical-Argo","volume":"12","author":"Claustre","year":"2020","journal-title":"Annu. Rev. Mar. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"422","DOI":"10.3389\/fmars.2019.00422","article-title":"Oceangliders: A Component of the Integrated Goos","volume":"6","author":"Testor","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"4194","DOI":"10.1002\/2016JC011767","article-title":"Spatial Scales of Optical Variability in the Coastal Ocean: Implications for Remote Sensing and in Situ Sampling","volume":"121","author":"Moses","year":"2016","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1634","DOI":"10.1175\/2009JTECHO654.1","article-title":"Aeronet-Oc: A Network for the Validation of Ocean Color Primary Products","volume":"26","author":"Zibordi","year":"2009","journal-title":"J. Atmos. Ocean. Technol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1044","DOI":"10.1002\/eap.1708","article-title":"Assessing the Effectiveness of Landsat 8 Chlorophyll a Retrieval Algorithms for Regional Freshwater Monitoring","volume":"28","author":"Boucher","year":"2018","journal-title":"Ecol. Appl."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.rse.2014.11.017","article-title":"Satellite-Based Water Quality Monitoring for Improved Spatial and Temporal Retrieval of Chlorophyll-a in Coastal Waters","volume":"158","author":"Harvey","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Palmer, S.C.J., Kutser, T., and Hunter, P.D. (2015). Remote Sensing of Inland Waters: Challenges, Progress and Future Directions, Elsevier.","DOI":"10.1016\/j.rse.2014.09.021"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1307","DOI":"10.1016\/j.scitotenv.2016.01.020","article-title":"Developments in Earth Observation for the Assessment and Monitoring of Inland, Transitional, Coastal and Shelf-Sea Waters","volume":"572","author":"Tyler","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"111768","DOI":"10.1016\/j.rse.2020.111768","article-title":"Robust Algorithm for Estimating Total Suspended Solids (Tss) in Inland and Nearshore Coastal Waters","volume":"246","author":"Balasubramanian","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.rse.2012.12.006","article-title":"Evaluation of Four Atmospheric Correction Algorithms for Modis-Aqua Images over Contrasted Coastal Waters","volume":"131","author":"Goyens","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"6855","DOI":"10.1080\/01431161.2010.512947","article-title":"A Current Review of Empirical Procedures of Remote Sensing in Inland and near-Coastal Transitional Waters","volume":"32","author":"Matthews","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Mograne, M.A., Jamet, C., Loisel, H., Vantrepotte, V., M\u00e9riaux, X., and Cauvin, A. (2019). Evaluation of Five Atmospheric Correction Algorithms over French Optically-Complex Waters for the Sentinel-3a Olci Ocean Color Sensor. Remote Sens., 11.","DOI":"10.3390\/rs11060668"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"116","DOI":"10.1016\/j.rse.2011.11.013","article-title":"Review of Constituent Retrieval in Optically Deep and Complex Waters from Satellite Imagery","volume":"118","author":"Odermatt","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Pahlevan, N., Balasubramanian, S.V., Sarkar, S., and Franz, B.A. (2018). Toward Long-Term Aquatic Science Products from Heritage Landsat Missions. Remote Sens., 10.","DOI":"10.3390\/rs10091337"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.rse.2018.10.027","article-title":"Sentinel-2\/Landsat-8 Product Consistency and Implications for Monitoring Aquatic Systems","volume":"220","author":"Pahlevan","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"111604","DOI":"10.1016\/j.rse.2019.111604","article-title":"Seamless Retrievals of Chlorophyll-a from Sentinel-2 (Msi) and Sentinel-3 (Olci) in Inland and Coastal Waters: A Machine-Learning Approach","volume":"240","author":"Pahlevan","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Tzortziou, M., Parker, O., Lamb, B., Herman, J., Lamsal, L., Stauffer, R., and Abuhassan, N. (2018). Atmospheric Trace Gas (No2 and O3) Variability in South Korean Coastal Waters, and Implications for Remote Sensing of Coastal Ocean Color Dynamics. Remote Sens., 10.","DOI":"10.3390\/rs10101587"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"283","DOI":"10.3389\/feart.2019.00283","article-title":"Developing a Community of Practice for Applied Uses of Future Pace Data to Address Marine Food Security Challenges","volume":"7","author":"Schollaert","year":"2019","journal-title":"Front. Earth Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.pocean.2018.01.001","article-title":"An Overview of Approaches and Challenges for Retrieving Marine Inherent Optical Properties from Ocean Color Remote Sensing","volume":"160","author":"Werdell","year":"2018","journal-title":"Prog. Oceanogr."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.rse.2018.07.015","article-title":"Atmospheric Correction of Metre-Scale Optical Satellite Data for Inland and Coastal Water Applications","volume":"216","author":"Vanhellemont","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Helder, D., Markham, B., Morfitt, R., Storey, J., Barsi, J., Gascon, F., Clerc, S., LaFrance, B., Masek, J., and Roy, D. (2018). Observations and Recommendations for the Calibration of Landsat 8 Oli and Sentinel 2 Msi for Improved Data Interoperability. Remote Sens., 10.","DOI":"10.3390\/rs10091340"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.actaastro.2017.07.046","article-title":"Sweet Cubesat\u2013Water Detection and Water Quality Monitoring for the 21st Century","volume":"140","author":"Antonini","year":"2017","journal-title":"Acta Astronaut."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecss.2015.03.026","article-title":"Analysis of High Frequency Geostationary Ocean Colour Data Using Dineof","volume":"159","author":"Vanhellemont","year":"2015","journal-title":"Estuar. Coast. Shelf Sci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.hal.2014.08.010","article-title":"Harmful algal bloom (HAB) in the East Sea identified by the Geostationary Ocean Color Imager (GOCI)","volume":"39","author":"Choi","year":"2014","journal-title":"Harmful Algae"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.rse.2013.05.032","article-title":"Application of the Geostationary Ocean Color Imager (Goci) to Mapping the Temporal Dynamics of Coastal Water Turbidity","volume":"146","author":"Choi","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Ody, A., Doxaran, D., Vanhellemont, Q., Nechad, B., Novoa, S., Many, G., Bourrin, F., Verney, R., Pairaud, I., and Gentili, B. (2016). Potential of High Spatial and Temporal Ocean Color Satellite Data to Study the Dynamics of Suspended Particles in a Micro-Tidal River Plume. Remote Sens., 8.","DOI":"10.3390\/rs8030245"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1002\/eap.1682","article-title":"Satellite Sensor Requirements for Monitoring Essential Biodiversity Variables of Coastal Ecosystems","volume":"28","author":"Hestir","year":"2018","journal-title":"Ecol. Appl."},{"key":"ref_60","unstructured":"Macauley, M.K. (2005). The Value of Information: A Background Paper on Measuring the Contribution of Space-Derived Earth Science Data to National Resource Management, Resources for the Future."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"239","DOI":"10.3197\/096327108X303873","article-title":"On the Economic Value of Ecosystem Services","volume":"17","author":"Sagoff","year":"2008","journal-title":"Environ. Values"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Gholizadeh, M.H., Melesse, A.M., and Reddi, L. (2016). A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques. Sensors, 16.","DOI":"10.3390\/s16081298"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Loisel, H., Vantrepotte, V., Jamet, C., and Dat, D.N. (2013). Challenges and New Advances in Ocean Color Remote Sensing of Coastal Waters. Top. Oceanogr., 1\u201338.","DOI":"10.5772\/56414"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2015.02.001","article-title":"Aquatic Color Radiometry Remote Sensing of Coastal and Inland Waters: Challenges and Recommendations for Future Satellite Missions","volume":"160","author":"Mouw","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.pocean.2017.08.007","article-title":"Uncertainties and Applications of Satellite-Derived Coastal Water Quality Products","volume":"159","author":"Zheng","year":"2017","journal-title":"Prog. Oceanogr."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1890\/0012-9658(2002)083[0399:PLANIA]2.0.CO;2","article-title":"Phytoplankton, Light, and Nutrients in a Gradient of Mixing Depths: Field Experiments","volume":"83","author":"Diehl","year":"2002","journal-title":"Ecology"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ecolind.2015.12.009","article-title":"Remote Sensing for Lake Research and Monitoring\u2013Recent Advances","volume":"64","author":"Oppelt","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.rse.2013.07.040","article-title":"Monitoring Blooms and Surface Accumulation of Cyanobacteria in the Curonian Lagoon by Combining Meris and Asar Data","volume":"146","author":"Bresciani","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1029\/2001GL014039","article-title":"Evidence and Quantification of the Correlation between Radar Backscatter and Ocean Colour Supported by Simultaneously Acquired in Situ Sea Truth","volume":"29","author":"Lin","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"051405","DOI":"10.1117\/1.OE.53.5.051405","article-title":"Review of Profiling Oceanographic Lidar","volume":"53","author":"Churnside","year":"2013","journal-title":"Opt. Eng."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"C92","DOI":"10.1364\/AO.59.000C92","article-title":"Lidar Remote Sensing of the Aquatic Environment","volume":"59","author":"Churnside","year":"2020","journal-title":"Appl. Opt."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1146\/annurev-marine-121916-063335","article-title":"Spaceborne Lidar in the Study of Marine Systems","volume":"10","author":"Hostetler","year":"2018","journal-title":"Annu. Rev. Mar. Sci."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"251","DOI":"10.3389\/fmars.2019.00251","article-title":"Going Beyond Standard Ocean Color Observations: Lidar and Polarimetry","volume":"6","author":"Jamet","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1006\/jmsc.2002.1327","article-title":"A Comparison of Lidar and Echosounder Measurements of Fish Schools in the Gulf of Mexico","volume":"60","author":"Churnside","year":"2003","journal-title":"ICES J. Mar. Sci."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1093\/icesjms\/fsp029","article-title":"Thin Scattering Layers Observed by Airborne Lidar","volume":"66","author":"Churnside","year":"2009","journal-title":"ICES J. Mar. Sci."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"4355","DOI":"10.1002\/grl.50816","article-title":"Space-Based Lidar Measurements of Global Ocean Carbon Stocks","volume":"40","author":"Behrenfeld","year":"2013","journal-title":"Geophys. Res. Lett."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"111889","DOI":"10.1016\/j.rse.2020.111889","article-title":"Seasonal Distributions of Ocean Particulate Optical Properties from Spaceborne Lidar Measurements in Mediterranean and Black Sea","volume":"247","author":"Dionisi","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"4305","DOI":"10.1002\/2014JC009970","article-title":"Ocean Subsurface Studies with the Calipso Spaceborne Lidar","volume":"119","author":"Lu","year":"2014","journal-title":"J. Geophys. Res. Ocean."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"111827","DOI":"10.1016\/j.rse.2020.111827","article-title":"Antarctic Spring Ice-Edge Blooms Observed from Space by Icesat-2","volume":"245","author":"Lu","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_80","unstructured":"Maggioni, V., and Massari, C. (2019). Chapter Eleven\u2014On the Potential of Altimetry and Optical Sensors for Monitoring and Forecasting River Discharge and Extreme Flood Events. Extreme Hydroclimatic Events and Multivariate Hazards in a Changing Environment, Elsevier."},{"key":"ref_81","unstructured":"Fu, L.-L., and Cazenave, A. (2000). Satellite Altimetry and Earth Sciences: A Handbook of Techniques and Applications, Elsevier."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Grgi\u0107, M., and Ba\u0161i\u0107, T. (2021). Radar Satellite Altimetry in Geodesy-Theory, Applications and Recent Developments. Geodetic Sciences-Theory, Applications and Recent Developments, IntechOpen.","DOI":"10.5772\/intechopen.97349"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Ansper-Toomsalu, A., Alikas, K., Nielsen, K., Tuvikene, L., and Kangro, K. (2021). Synergy between Satellite Altimetry and Optical Water Quality Data Towards Improved Estimation of Lakes Ecological Status. Remote Sens., 13.","DOI":"10.3390\/rs13040770"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1109\/TGRS.2018.2854625","article-title":"Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry through Artificial Neural Network","volume":"57","author":"Tarpanelli","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1002\/2015WR017654","article-title":"Spatiotemporal Densification of River Water Level Time Series by Multimission Satellite Altimetry","volume":"52","author":"Tourian","year":"2016","journal-title":"Water Resour. Res."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1080\/22797254.2018.1457937","article-title":"Atmospheric Correction of Landsat-8\/Oli and Sentinel-2\/Msi Data Using Icor Algorithm: Validation for Coastal and Inland Waters","volume":"51","author":"Sterckx","year":"2018","journal-title":"Eur. J. Remote Sens."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Koparan, C., Koc, A.B., Privette, C.V., and Sawyer, B.C. (2018). In Situ Water Quality Measurements Using an Unmanned Aerial Vehicle (Uav) System. Water, 10.","DOI":"10.3390\/w10030264"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"10078","DOI":"10.3390\/rs70810078","article-title":"Application of Multispectral Sensors Carried on Unmanned Aerial Vehicle (UAV) to Trophic State Mapping of Small Reservoirs: A Case Study of Tain-Pu Reservoir in Kinmen, Taiwan","volume":"7","author":"Su","year":"2015","journal-title":"Remote Sens."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1080\/01431161.2016.1264031","article-title":"Use of Unmanned Aerial Vehicles and Remote Sensors in Urban Lakes Studies in Mexico","volume":"38","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.3390\/toxins7041065","article-title":"Harmful Algal Bloom Characterization at Ultra-High Spatial and Temporal Resolution Using Small Unmanned Aircraft Systems","volume":"7","author":"Price","year":"2015","journal-title":"Toxins"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"12815","DOI":"10.3390\/rs61212815","article-title":"Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle","volume":"6","author":"Flynn","year":"2014","journal-title":"Remote Sens."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1111\/avsc.12072","article-title":"Unmanned Aircraft Systems Help to Map Aquatic Vegetation","volume":"17","author":"Husson","year":"2014","journal-title":"Appl. Veg. Sci."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.rse.2017.05.036","article-title":"Sensing an intense phytoplankton bloom in the western Taiwan Strait from radiometric measurements on a UAV","volume":"198","author":"Shang","year":"2017","journal-title":"Remote. Sens. Environ."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"S\u00e1enz, N.A., Paez, D.E., and Arango, C. (2015). Local Algorithm for Monitoring Total Suspended Sediments in Micro-Watersheds Usin Drones and Remote Sensing Applications. Case Study: Teusac\u00e1 River, La Calera, Colombia. Int. Arch. Photogramm. Remote. Sens. Spat. Inf. Sci., 40.","DOI":"10.5194\/isprsarchives-XL-1-W4-159-2015"},{"key":"ref_95","first-page":"6","article-title":"Mapping Water Quality with Drones: Test Case in Texel","volume":"157","author":"Moelans","year":"2019","journal-title":"Terra et Aqua"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1002\/rob.21591","article-title":"Autonomous Aerial Water Sampling","volume":"32","author":"Ore","year":"2015","journal-title":"J. Field Robot."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"E744","DOI":"10.1175\/BAMS-D-19-0015.1","article-title":"Saildrone: Adaptively Sampling the Marine Environment","volume":"101","author":"Gentemann","year":"2020","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"448","DOI":"10.3389\/fmars.2019.00448","article-title":"Public\u2013Private Partnerships to Advance Regional Ocean-Observing Capabilities: A Saildrone and Noaa-Pmel Case Study and Future Considerations to Expand to Global Scale Observing","volume":"6","author":"Meinig","year":"2019","journal-title":"Front. Mar. Sci."},{"key":"ref_99","first-page":"28","article-title":"Commercial Operation of Lightweight","volume":"16","author":"Petrie","year":"2013","journal-title":"GEO Inform."},{"key":"ref_100","unstructured":"Tweddle, J.C., Robinson, L.D., Pocock, M.J.O., and Roy, H.E. (2012). Guide to Citizen Science: Developing, Implementing and Evaluating Citizen Science to Study Biodiversity and the Environment in the UK. NERC\/Centre for Ecology & Hydrology."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1111\/1365-2664.13279","article-title":"Developing the Global Potential of Citizen Science: Assessing Opportunities That Benefit People, Society and the Environment in East Africa","volume":"56","author":"Pocock","year":"2019","journal-title":"J. Appl. Ecol."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Malthus, T.J., Ohmsen, R., and Woerd, H.J. (2020). An Evaluation of Citizen Science Smartphone Apps for Inland Water Quality Assessment. Remote Sens., 12.","DOI":"10.3390\/rs12101578"},{"key":"ref_103","unstructured":"Blaney, R.J.P., Jones, G., Philippe, A., and Pocock, M. (2016). Citizen Science and Environmental Monitoring: Towards a Methodology for Evaluating Opportunities, Costs and Benefits. Final Report on behalf of UKEOF, UKEOF."},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Hadj-Hammou, J., Loiselle, S., Ophof, D., and Thornhill, I. (2017). Getting the Full Picture: Assessing the Complementarity of Citizen Science and Agency Monitoring Data. PLoS ONE, 12.","DOI":"10.1371\/journal.pone.0188507"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"A361","DOI":"10.1364\/OE.25.00A361","article-title":"From Toes to Top-of-Atmosphere: Fowler\u2019s Sneaker Depth Index of Water Clarity for the Chesapeake Bay","volume":"25","author":"Crooke","year":"2017","journal-title":"Opt. Express"},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Leeuw, T., and Boss, E. (2018). The Hydrocolor App: Above Water Measurements of Remote Sensing Reflectance and Turbidity Using a Smartphone Camera. Sensors, 18.","DOI":"10.3390\/s18010256"},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1016\/j.envsoft.2014.12.005","article-title":"Integrated Assessment and Modelling: Overview and Synthesis of Salient Dimensions","volume":"64","author":"Hamilton","year":"2015","journal-title":"Environ. Model. Softw."},{"key":"ref_108","unstructured":"Hutter, K., and Johnk, K. (2014). Continuum Methods of Physical Modelling: Mechanics of Continua, Dimensional Analysis, Turbulance, Springer."},{"key":"ref_109","first-page":"191","article-title":"First Steps of a Lake Model Intercomparison Project: Lakemip","volume":"15","author":"Stepanenko","year":"2010","journal-title":"Boreal Environ. Res."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"3955","DOI":"10.5194\/gmd-12-3955-2019","article-title":"Toward an Open Access to High-Frequency Lake Modeling and Statistics Data for Scientists and Practitioners\u2013the Case of Swiss Lakes Using Simstrat V2.1","volume":"12","author":"Gaudard","year":"2019","journal-title":"Geosci. Model Dev."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1038\/s41561-019-0322-x","article-title":"Worldwide Alteration of Lake Mixing Regimes in Response to Climate Change","volume":"12","author":"Woolway","year":"2019","journal-title":"Nat. Geosci."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.envsoft.2019.03.024","article-title":"A Short Review of Contemporary Developments in Aquatic Ecosystem Modelling of Lakes and Reservoirs","volume":"117","author":"Frassl","year":"2019","journal-title":"Environ. Model. Softw."},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1007\/s10452-015-9544-1","article-title":"Exploring, Exploiting and Evolving Diversity of Aquatic Ecosystem Models: A Community Perspective","volume":"49","author":"Janssen","year":"2015","journal-title":"Aquat. Ecol."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1016\/j.ecolmodel.2007.09.010","article-title":"Modelling Functional Groups of Phytoplankton in Three Lakes of Different Trophic State","volume":"211","author":"Mieleitner","year":"2008","journal-title":"Ecol. Model."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.rse.2018.02.056","article-title":"Are Surface Temperature and Chlorophyll in a Large Deep Lake Related? An Analysis Based on Satellite Observations in Synergy with Hydrodynamic Modelling and in-Situ Data","volume":"209","author":"Bouffard","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s00027-019-0626-3","article-title":"Resolving Biogeochemical Processes in Lakes Using Remote Sensing","volume":"81","author":"Nouchi","year":"2019","journal-title":"Aquat. Sci."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1016\/j.jglr.2018.05.008","article-title":"Using 3d Modeling and Remote Sensing Capabilities for a Better Understanding of Spatio-Temporal Heterogeneities of Phytoplankton Abundance in Large Lakes","volume":"44","author":"Soulignac","year":"2018","journal-title":"J. Great Lakes Res."},{"key":"ref_118","first-page":"11","article-title":"Integrating Landsat 7 Imagery with Physics-Based Models for Quantitative Mapping of Coastal Waters near River Discharges","volume":"78","author":"Pahlevan","year":"2012","journal-title":"Photogramm. Eng. Remote Sens. (PE&RS)"},{"key":"ref_119","unstructured":"Dartmouth, S.D. (2020). Synergy between Ocean Colour and Biogeochemical\/Ecosystem Models, IOCCG."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1002\/lol2.10027","article-title":"Climate-Induced Warming of Lakes Can Be Either Amplified or Suppressed by Trends in Water Clarity","volume":"1","author":"Rose","year":"2016","journal-title":"Limnol. Oceanogr. Lett."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.5194\/gmd-13-1267-2020","article-title":"Data Assimilation of in Situ and Satellite Remote Sensing Data to 3d Hydrodynamic Lake Models: A Case Study Using Delft3d-Flow V4.03 and Openda V2.4","volume":"13","author":"Baracchini","year":"2020","journal-title":"Geosci. Model Dev."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"115529","DOI":"10.1016\/j.watres.2020.115529","article-title":"Meteolakes: An Operational Online Three-Dimensional Forecasting Platform for Lake Hydrodynamics","volume":"172","author":"Baracchini","year":"2020","journal-title":"Water Res."},{"key":"ref_123","doi-asserted-by":"crossref","unstructured":"Clark, J.B., Long, W., and Hood, R.R. (2020). A Comprehensive Estuarine Dissolved Organic Carbon Budget Using an Enhanced Biogeochemical Model. J. Geophys. Res. Biogeosci., 125.","DOI":"10.1029\/2019JG005442"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1007\/s12237-017-0295-1","article-title":"Wind-Driven Dissolved Organic Matter Dynamics in a Chesapeake Bay Tidal Marsh-Estuary System","volume":"41","author":"Clark","year":"2018","journal-title":"Estuaries Coasts"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"103666","DOI":"10.1016\/j.marchem.2019.103666","article-title":"A Mechanistic Model of Photochemical Transformation and Degradation of Colored Dissolved Organic Matter","volume":"214","author":"Clark","year":"2019","journal-title":"Mar. Chem."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"6441","DOI":"10.5194\/bg-13-6441-2016","article-title":"Use of Remote-Sensing Reflectance to Constrain a Data Assimilating Marine Biogeochemical Model of the Great Barrier Reef","volume":"13","author":"Jones","year":"2016","journal-title":"Biogeosciences"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.scitotenv.2015.05.011","article-title":"Application of Remote Sensing for the Optimization of in-Situ Sampling for Monitoring of Phytoplankton Abundance in a Large Lake","volume":"527","author":"Kiefer","year":"2015","journal-title":"Sci. Total Environ."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"7789","DOI":"10.1080\/01431161.2018.1471545","article-title":"An Initial Validation of Landsat 5 and 7 Derived Surface Water Temperature for Us Lakes, Reservoirs, and Estuaries","volume":"39","author":"Schaeffer","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"2376","DOI":"10.1109\/TGRS.2005.856106","article-title":"Introduction of Sensor Spectral Response into Image Fusion Methods. Application to Wavelet-Based Methods","volume":"43","author":"Otazu","year":"2005","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"2664","DOI":"10.1109\/TGRS.2015.2504261","article-title":"Exploiting Joint Sparsity for Pansharpening: The J-Sparsefi Algorithm","volume":"54","author":"Zhu","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"591","DOI":"10.14358\/PERS.72.5.591","article-title":"Mtf-Tailored Multiscale Fusion of High-Resolution Ms and Pan Imagery","volume":"72","author":"Aiazzi","year":"2006","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1016\/j.isprsjprs.2006.10.001","article-title":"Ers-2 Sar and Irs-1c Liss Iii Data Fusion: A Pca Approach to Improve Remote Sensing Based Geological Interpretation","volume":"61","author":"Pal","year":"2007","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1080\/01431161.2013.875632","article-title":"Integrated Data Fusion and Mining Techniques for Monitoring Total Organic Carbon Concentrations in a Lake","volume":"35","author":"Chang","year":"2014","journal-title":"Int. J. Remote Sens."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.jenvman.2014.12.003","article-title":"Integrated Satellite Data Fusion and Mining for Monitoring Lake Water Quality Status of the Albufera De Valencia in Spain","volume":"151","author":"Dona","year":"2015","journal-title":"J. Environ. Manag."},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1016\/j.jhazmat.2015.01.047","article-title":"Cyanobacterial Bloom Management through Integrated Monitoring and Forecasting in Large Shallow Eutrophic Lake Taihu (China)","volume":"287","author":"Qin","year":"2015","journal-title":"J. Hazard. Mater."},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/MGRS.2015.2434351","article-title":"Fusing Landsat and Modis Data for Vegetation Monitoring","volume":"3","author":"Gao","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Mag."},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Liu, Y., and Gupta, H.V. (2007). Uncertainty in Hydrologic Modeling: Toward an Integrated Data Assimilation Framework. Water Resour. Res., 43.","DOI":"10.1029\/2006WR005756"},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.dynatmoce.2011.01.002","article-title":"A Data Assimilative, Coupled Physical\u2013Biological Model for the Coastal Gulf of Alaska","volume":"52","author":"Fiechter","year":"2011","journal-title":"Dyn. Atmos. Ocean."},{"key":"ref_139","doi-asserted-by":"crossref","unstructured":"El Serafy, G.Y., and Mynett, A.E. (2008). Improving the Operational Forecasting System of the Stratified Flow in Osaka Bay Using an Ensemble Kalman Filter-Based Steady State Kalman Filter. Water Resour. Res., 44.","DOI":"10.1029\/2006WR005412"},{"key":"ref_140","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1007\/s10236-003-0036-9","article-title":"The Ensemble Kalman Filter: Theoretical Formulation and Practical Implementation","volume":"53","author":"Evensen","year":"2003","journal-title":"Ocean Dyn."},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1007\/s12601-011-0015-x","article-title":"Improving the Description of the Suspended Particulate Matter Concentrations in the Southern North Sea through Assimilating Remotely Sensed Data","volume":"46","author":"Marieke","year":"2011","journal-title":"Ocean Sci. J."},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/s10236-012-0584-y","article-title":"Application of Data Assimilation for Improving Forecast of Water Levels and Residual Currents in Singapore Regional Waters","volume":"63","author":"Karri","year":"2013","journal-title":"Ocean Dyn."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.envsoft.2019.03.028","article-title":"Assimilating Multi-Source Data into a Three-Dimensional Hydro-Ecological Dynamics Model Using Ensemble Kalman Filter","volume":"117","author":"Chen","year":"2019","journal-title":"Environ. Model. Softw."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"2810","DOI":"10.1016\/j.jhydrol.2014.09.073","article-title":"Simulation of Algal Bloom Dynamics in a River with the Ensemble Kalman Filter","volume":"519","author":"Kim","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1007\/s10236-013-0624-2","article-title":"Improved Water-Level Forecasting for the Northwest European Shelf and North Sea through Direct Modelling of Tide, Surge and Non-Linear Interaction","volume":"63","author":"Zijl","year":"2013","journal-title":"Ocean Dyn."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1007\/s10236-007-0124-3","article-title":"Application of Data Assimilation in Portable Operational Forecasting Systems\u2014the Datools Assimilation Environment","volume":"57","author":"Gerritsen","year":"2007","journal-title":"Ocean Dyn."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"115343","DOI":"10.1016\/j.watres.2019.115343","article-title":"Ensemble Data Assimilation Methods for Improving River Water Quality Forecasting Accuracy","volume":"171","author":"Loos","year":"2020","journal-title":"Water Res."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"10012","DOI":"10.1029\/2019WR024883","article-title":"Aquasat: A Data Set to Enable Remote Sensing of Water Quality for Inland Waters","volume":"55","author":"Ross","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1080\/10630732.2014.942092","article-title":"Smart Cities: Definitions, Dimensions, Performance, and Initiatives","volume":"22","author":"Albino","year":"2015","journal-title":"J. Urban Technol."},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Vakali, A., Anthopoulos, L., and Krco, S. (2014, January 2\u20134). Smart Cities Data Streams Integration: Experimenting with Internet of Things and Social Data Flows. Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14), Thessaloniki, Greece.","DOI":"10.1145\/2611040.2611094"},{"key":"ref_151","doi-asserted-by":"crossref","unstructured":"Zhu, Y., and Ferreira, J. (2015). Data Integration to Create Large-Scale Spatially Detailed Synthetic Populations. Planning Support Systems and Smart Cities, Springer.","DOI":"10.1007\/978-3-319-18368-8_7"},{"key":"ref_152","doi-asserted-by":"crossref","unstructured":"White, D.L., Esswein, S., Hallstrom, J.O., Ali, F., Parab, S., Eidson, G., Gemmill, J., and Post, C. (2010, January 17\u201321). The Intelligent River\u00a9: Implementation of Sensor Web Enablement Technologies across Three Tiers of System Architecture: Fabric, Middleware, and Application. Proceedings of the 2010 International Symposium on Collaborative Technologies and Systems, Chicago, IL, USA.","DOI":"10.1109\/CTS.2010.5478493"},{"key":"ref_153","first-page":"34","article-title":"Scaling Science","volume":"15","author":"Gargani","year":"2017","journal-title":"Features Stanf. Soc. Innov. Rev."},{"key":"ref_154","unstructured":"Bradach, J.L. (2003). Going to Scale: The Challenge of Replicating Social Programs. Stanf. Soc. Innov. Rev., 19\u201325."},{"key":"ref_155","unstructured":"Aikman, K.E., Tindall, D.R., and Morton, S.L. Physiology and Potency of the Dinoflagellate Prorocentrum Hoffmannianum(Faust) During One Complete Growth Cycle. Dev. Mar. Biol., 1993."},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"193","DOI":"10.4031\/MTSJ.49.2.18","article-title":"The Roles of Emerging Technology and Modeling Techniques in Operational Ecological Forecasting at Noaa","volume":"49","author":"Allen","year":"2015","journal-title":"Mar. Technol. Soc. J."},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"Malthus, T.J., Lehmann, E., Ho, X., Botha, E., and Anstee, J. (2019). Implementation of a Satellite Based Inland Water Algal Bloom Alerting System Using Analysis Ready Data. Remote Sens., 11.","DOI":"10.3390\/rs11242954"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/15\/2899\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:34:09Z","timestamp":1760164449000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/15\/2899"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":157,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2021,8]]}},"alternative-id":["rs13152899"],"URL":"https:\/\/doi.org\/10.3390\/rs13152899","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,23]]}}}