IS14C:
From Catchments to Open Ocean: Advances in Remote Sensing for Supporting Sustainable Oceans II Posters
Session ID#: 93228
Session Description:
Marine and coastal waters are home to a diverse range of flora and fauna, and they provide important ecosystem services and socio-economic benefits. These same systems are increasingly stressed due to climatic and anthropogenic pressures, affecting biodiversity, productivity, and the resilience of services derived from them. Remote sensing from ground-based, airborne, and satellite platforms offer unique perspectives on the world’s water bodies, with the ability to assess many indicators and variables at improved temporal resolutions, and at scales extending from inland waters to the open ocean. Remote sensors with improved radiometric performance and spatial, spectral, and temporal resolutions offer a range of applications - from improving our understanding of physical to biogeochemical processes, to generalising the usefulness of modelling tools beyond in situ measurements. With a focus on wider societal benefits, we welcome submissions illustrating innovative processing or application of remotely sensed data, including data from imaging spectrometers and the European Space Agency Sentinels. Themes include marine ecosystem modelling, water quality, food security, biodiversity and productivity, and measuring of physical properties (e.g. wind, temperature, currents, sea state). Topics including atmospheric correction, model development, object detection, bio-optical modelling of optically complex waters, and generation of tools and data products towards achieving UN Sustainable Development Goals are encouraged. Ultimately, the chairs hope this session facilitates discussions on how to encourage and optimize the use of remote sensing data to increase our understanding (and thus decision-making ability) around fresh water and marine ecosystems within the context of increasing anthropogenic pressures.
Co-Sponsor(s):
Primary Chair: Lauren Biermann, Plymouth Marine Laboratory, Earth Observation Science and Applications, Plymouth, United Kingdom
Co-chairs: Chris Banks, National Oceanography Center, Liverpool, United Kingdom, Wesley Moses, Naval Research Laboratory, Washington, United States and Kevin Ross Turpie, University of Maryland Baltimore County, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD, United States
Primary Liaison: Chris Banks, National Oceanography Center, Liverpool, United Kingdom
Moderators: Frode B Vikebø, Institute of Marine Research, Oceanography and Climate, Bergen, Norway and Kevin Ross Turpie, University of Maryland Baltimore County, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD, United States
Student Paper Review Liaison: Lauren Biermann, Scottish Oceans Institute, Sea Mammal Research Unit, St. Andrews, United Kingdom
Abstracts Submitted to this Session:
Long term analysis of the North Sea light climate, using remotely sensed sediment data in a 3D coupled ecosystem mode (648111)
Daniel Thewes1, Emil V. Stanev2, Jochen Wollschläger1, Jaime Pitarch3 and Oliver Zielinski4,5, (1)University of Oldenburg, Institute of Chemistry and Biology of the Marine Environment, Oldenburg, Germany, (2)Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Geesthacht, Germany, (3)Royal Netherlands Institute for Sea Research and Utrecht University, Department of Coastal Systems, Texel, Netherlands, (4)University of Oldenburg, Marine Sensor Systems Group, Institute for Chemistry and Biology of the Marine Environment, Oldenburg, Germany, (5)German Research Center for Artificial Intelligence (DFKI), Marine Perception Research Group, Oldenburg, Germany
Sentinel-3 SLSTR SST Validation using a Fiducial Reference Measurements (FRM) Service (650586)
Werenfrid Wimmer1, Time Nightingale2, Jacob Hoyer3, Hugh Kelliher4, Ruth Wilson4, Jean-François Piollé5, Silvia Scifoni6, Steffen Dransfeld6 and Craig Donlon7, (1)University of Southampton, Ocean and Earth Science, Southampton, SO14, United Kingdom, (2)Rutherford Appleton Laboratory, United Kingdom, (3)Danish Meteorological Institute, National Centre for Climate Research, København Ø, Denmark, (4)Space Connexion, United Kingdom, (5)IFREMER, LOPS/CERSAT, Plouzané, France, (6)ESA, Italy, (7)European Space Agency, ESTEC/EOP-SME, Noordwijk, Netherlands
Analysis of satellite-derived time series of particulate organic carbon concentrations in surface layers of the global ocean (641843)
Ishan Joshi1, Dariusz Stramski2, Rick A Reynolds2 and Dr. Dale H Robinson3, (1)University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States, (2)University of California San Diego, Scripps Institution of Oceanography, La Jolla, United States, (3)NOAA Southwest Fisheries Science Center, Environmental Research Division, Santa Cruz, CA, United States
Improved satellite ocean color algorithms for the tropical Pacific (513656)
Nicholas Pittman1, Peter G Strutton2, Robert Johnson2 and Richard Matear3, (1)University of Tasmania, Battery Point, TAS, Australia, (2)University of Tasmania, Institute for Marine and Antarctic Studies, Hobart, TAS, Australia, (3)CSIRO, Oceans & Atmosphere, Hobart, TAS, Australia
High correlation but high scale-dependent variance between satellite measured night lights and terrestrial exposure (651489)
Ariel Levi Simons, University of California Santa Cruz, Santa Cruz, United States; University of Southern California, Marine and Environmental Biology, Los Angeles, CA, United States, Xiaozhe Yin, University of Southern California, Spatial Sciences, Los Angeles, CA, United States and Travis Longcore, University of Southern California, Architecture, Spatial Sciences, and Biological Sciences, Los Angeles, CA, United States
Effects of Solar Penetration on the Prediction of Upper Ocean Circulation in the Northwest Atlantic (656472)
Yangyang Liu, North Carolina State University, Marine, Earth, and Atmospheric Sciences, Raleigh, NC, United States, Ruoying He, North Carolina State University, Marine, Earth, and Atmospheric Sciences, Raleigh, United States and Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States
Water Quality and Bio-optical Properties Measured from the Geostationary and Polar-Orbiting Ocean Color Sensors in the Northwestern Pacific Region (651495)
Seunghyun Son, CIRA at NOAA/NESDIS/STAR, College Park, MD, United States, Menghua Wang, NOAA/NESDIS/STAR, College Park, MD, United States and Lide Jiang, NOAA-E/RA3, Room 102, Camp Springs, MD, United States
A Scheme of Atmospheric Correction Using Same-day Observations (642251)
Junwei Wang, Xiamen University, Xiamen, China, Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States, Jianwei Wei, University of Massachusetts, Boston, MA, United States and Keping Du, Beijing Normal University, Beijing, China
A 20-Year Analysis of Phytoplankton in the Northeast U.S. Continental Shelf Large Marine Ecosystem with Implications for Fisheries (651843)
Kimberly Hyde1, Michael J. Fogarty2, Colleen B Mouw3, Ryan Morse4, Kyle J Turner3, Audrey Ciochetto3 and Vincent S Saba5, (1)NOAA Northeast Fisheries Science Center, Narragansett, United States, (2)NOAA Fisheries Northeast Fisheries Science Center, Woods Hole, MA, United States, (3)University of Rhode Island, Narragansett, RI, United States, (4)Integrated Statistics Inc., NOAA Northeast Fisheries Science Center, Narragansett, RI, United States, (5)NOAA National Marine Fisheries Service, Princeton, NJ, United States
Retrieval of CDOM absorption coefficient with remote sensing reflectance in ultraviolet band for waters in the Changjiang (Yangtze) estuarine and coastal region (642039)
Wang Yongchao, Xiamen University, College of Ocean and Earth Sciences, Xiamen, China, Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States and Fang Shen, State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China
Monitoring harmful algal bloom in Baja California using in-situ measurement and satellite remote sensing (655643)
Min-Sun Lee1, Alexandra Smith1 and Fiorenza Micheli2, (1)Stanford University, Hopkins Marine Station, Pacific Grove, CA, United States, (2)Stanford University, Stanford, CA, United States
