The capability to remotely estimate various ocean properties from satellites is continuously increasing in maturity and scope. Sea surface temperature, sea surface height, ocean vector winds and chlorophyll concentration are now available on a routine and sustainable basis. These products are becoming integral to operational applications for routine and event-driven environmental assessments, predictions, forecasts and management, and represent a huge potential for contributing to societal needs and the âblue economyâ. We invite presentations of studies that have used satellite-derived estimates of oceanic, coastal and inland water properties in an operational application, be it for public or commercial use. We specifically encourage presentations that highlight the methods employed, lessons learned in overcoming the challenges encountered, and socio-economic implications of the work.
Primary Chair: Christopher Brown, NOAA, NESDIS, College Park, MD, United States
Co-chairs: Paul M DiGiacomo, NOAA, NESDIS, College Park, MD, United States, Veronica P Lance, NOAA/NESDIS/STAR, NOAA CoastWatch, College Park, MD, United States and François Montagner, EUMETSAT, Remote Sensing and Products Division, Darmstadt, Germany
Primary Liaison: Christopher Brown, NOAA, NESDIS, College Park, MD, United States
Moderators: Christopher Brown, NOAA, Center for Satellite Applications and Research, College Park, MD, United States and Veronica P Lance, NOAA/NESDIS/STAR, NOAA CoastWatch, College Park, MD, United States
Student Paper Review Liaison: Christopher Brown, NOAA, Center for Satellite Applications and Research, College Park, MD, United States
Assessing Cyanobacteria Blooms from Space (651600)
Sachidananda Mishra1,2, Richard P Stumpf3, Andrew Meredith3,4, Blake A Schaeffer5, Jeremy Werdell6, Keith A Loftin7, Erin Urquhart8 and Bridget Seegers9,10, (1)CSS Inc., Fairfax, United States, (2)National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Silver Spring, United States, (3)National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, Silver Spring, MD, United States, (4)CSS Inc., Under Contract to NCCOS, NOAA, Fairfax, United States, (5)Environmental Protection Agency, Research Triangle Park, United States, (6)NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, MD, United States, (7)USGS Kansas Water Science Center, Lawrence, KS, United States, (8)Oak Ridge Institute of Science and Education, Durham, United States, (9)NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, United States, (10)Universities Space Research Association (USRA), Columbia, CA, United States
Development of Red Tide Detection Algorithm using GOCI Image based on Random Forest (648915)
Youngjun Kim1, Prof. Wonkook Kim, PhD2, Jungho Im3, SeongMun SIM1 and Eunna Jang1, (1)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, South Korea, (2)(Currently) Pusan National University, Department of Civil and Environmental Engineering, Busan, South Korea, (3)Ulsan National Institute of Science and Technology, Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea
Enhancements for NOAA’s operational upper Ocean Heat Content product suite (636560)
Deirdre Byrne, NOAA Center for Satellite Applications and Research, Laboratory for Satellite Altimetry, College Park, MD, United States, Eileen Maturi, NOAA/NESDIS, STAR, Camp Springs, MD, United States, Eric W Leuliette, NOAA College Park, College Park, MD, United States, Lynn K Shay, RSMAS/University of Miami, Department of Ocean Sciences, Miami, United States and Jessica Maureen Burns, University of South Carolina Columbia, Columbia, SC, United States
Expanding the Paradigm for Operational Satellite Oceanography and Its Programmatic Implications (647858)
Christopher Brown, NOAA College Park, College Park, MD, United States, Paul M DiGiacomo, NOAA, NESDIS, College Park, MD, United States, Bojan R Bojkov, EUMETSAT, Darmstadt, Germany, François Montagner, EUMETSAT, Remote Sensing and Products Division, Darmstadt, Germany and Cara Wilson, NOAA, Monterey, United States
New CNES CLS 2019 Mean Sea Surface: First Validation (650523)
Marie-Isabelle Pujol1, Philippe Schaeffer2, Yannice Faugere3, Gérald Dibarboure4 and Nicolas Picot4, (1)Collecte Localisation Satellites, Ramonville Saint-Agne, France, (2)CLS Collecte Localisation Satellites, Toulouse, France, (3)CLS Collecte Localisation Satellites, Ramonville Saint-Agne, France, (4)CNES French National Center for Space Studies, Toulouse, France
SeaPRISM observations of three freshwater lakes: impacts of cyanobacteria and atmospheric correction on remote sensing (656501)
Tim Moore, Florida Atlantic University, Harbor Branch Oceanographic Institute, Ft. Pierce, United States, Hui Feng, University of New Hampshire, Durham, NH, United States, Steven A Ruberg, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, Steven Greb, University of Wisconsin-Madison, Madison, United States, Nima Pahlevan, Science Systems and Applications, Inc., Lanham, United States, Sarah Bartlett, University of Wisconsin Milwaukee, Milwaukee, WI, United States, Menghua Wang, NOAA/NESDIS/STAR, College Park, MD, United States, Malcolm McFarland, Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States and Kyle Beadle, NOAA Ann Arbor, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
The airborne LUnar Spectral Irradiance (air-LUSI) mission and calibration of ocean observations from space (649893)
Kevin Ross Turpie1, Steve Brown2, John T Woodward3, Andrew Gadsden4, Thomas C Stone5 and Andrew Newton4, (1)University of Maryland Baltimore County, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD, United States, (2)National Institute of Standards and Technology Gaithersburg, Sensor Science Division, Gaithersburg, MD, United States, (3)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (4)University of Guelph, Mechanical Engineering, Guelph, ON, Canada, (5)US Geological Survey, Flagstaff, AZ, United States
The use of RADARSAT-2 Backscatter Coefficients (σo, βo, γo) to Discriminate Oil Seeps From Oil Spills: A Linear Discriminant Analysis in the Gulf of Mexico (Campeche Bay) (642555)
Gustavo de Araújo Carvalho1, Peter J Minnett2, Eduardo Paes3, Fernando p. de Miranda4 and Luiz Landau1, (1)UFRJ (Federal University of Rio de Janeiro), LabSAR (Laboratory of Radar Remote Sensing Applied to the Petroleum Industry), Rio de Janeiro, Brazil, (2)University of Miami, Rosenstiel School of Marine, Atmospheric, and Earth Science, Department of Ocean Sciences, Miami, United States, (3)Universidade Federal Rural do Amazônas (UFRA), Laboratório de Ecologia Marinha e Oceanografia Pesqueira da Amazônia (LEMOPA), Belém, PA, Brazil, (4)PETROBRAS, CENPES, Rio De Janeiro, Brazil
