ME24C:
Hyperspectral Sensing of Coastal Aquatic Environments II Posters

Session ID#: 84765

Session Description:
In response to mounting ecological pressures related to climate change and population growth, marine scientists and resource managers have increasingly turned to remote sensing as a means of providing timely and spatially coherent environmental information. Earth imaging sensor technology aboard aircraft and satellites has advanced rapidly from multispectral systems offering a small number of broad, discontiguous bands in the visible and infrared portions of the spectrum to imaging spectrometers with continuous, high-resolution coverage throughout the complete visible and near-infrared spectrum. The subject of hyperspectral remote sensing has rapidly gained momentum with the recent deployment of DESIS on the International Space Station, the launch of PRISMA, and planning for the NASA PACE and SBG sensors in response to the most recent decadal survey. NASA recently completed an airborne mission that mapped coral reefs in the tropical Pacific using PRISM, and applications have expanded to include small, lightweight systems deployable on commonly available drones, effectively placing advanced remote sensing capabilities in the hands of the individual researcher. Most recent investigations include merging the unique aspects of hyperspectral observations with other data to enhance knowledge of marine ecosystem health and biodiversity. The purpose of this session is to present and discuss the state of the art and novel application of hyperspectral remote sensing, from near-surface to space, for coastal aquatic environments. Papers are encouraged that cover all aspects of the topic including sensor development, new algorithmic approaches, emerging modes of deployment, and case studies spanning basic research to societally relevant applications.
Co-Sponsor(s):
  • IS - Ocean Observatories, Instrumentation and Sensing Technologies
Index Terms:

4220 Coral reef systems [OCEANOGRAPHY: BIOLOGICAL]
4815 Ecosystems, structure, dynamics, and modeling [OCEANOGRAPHY: BIOLOGICAL]
4858 Population dynamics and ecology [OCEANOGRAPHY: BIOLOGICAL]
4894 Instruments, sensors, and techniques [OCEANOGRAPHY: BIOLOGICAL]
Primary Chair:  Steven G Ackleson, Naval Research Laboratory, Washington, D.C., DC, United States
Co-chairs:  Heidi M Dierssen, University of Connecticut Avery Point, Groton, CT, United States, Raphael Martin Kudela, University of California Santa Cruz, Santa Cruz, United States and Michelle M Gierach, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Primary Liaison:  Steven G Ackleson, Naval Research Laboratory, Washington, DC, United States
Moderators:  Raphael Martin Kudela, University of California Santa Cruz, Santa Cruz, United States and Michelle M Gierach, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Student Paper Review Liaison:  Raphael Martin Kudela, University of California Santa Cruz, Santa Cruz, United States

Abstracts Submitted to this Session:

 
ME24C-0108
A Compressive Sensing Based Hyperspectral Ocean Color Imager for CubeSats (653983)
Michael S Twardowski1, Bing Ouyang2, Ed Malkiel1 and Graham Sanborn3, (1)Harbor Branch Oceanographic Institute, Ft. Pierce, United States, (2)Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States, (3)Naval Information Warfare Center - Pacific, San Diego, United States
 
ME24C-0109
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications (640410)
Kimberly Casey, USGS National Land Imaging Program, Reston, VA, United States, Cecile S Rousseaux, NASA Goddard Space Flight Center, Greenbelt, United States, Watson W Gregg, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Emmanuel Boss, University of Maine, Orono, United States, Alison P Chase, University of Maine, School of Marine Science, Orono, ME, United States, Susanne Elizabeth Craig, NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, MD, United States, Colleen B Mouw, University of Rhode Island, Narragansett, RI, United States, Rick A Reynolds, Scripps Institution of Oceanography, La Jolla, United States, Dariusz Stramski, Univ California San Diego, La Jolla, United States, Steven G Ackleson, Naval Research Laboratory, Washington, DC, United States, Annick Bricaud, Sorbonne Universités, UPMC Univ Paris 06, INSU-CNRS, Laboratoire d'Océanographie de Villefranche, 181 Chemin du Lazaret, 06230, Villefranche-sur-mer, France, Blake A Schaeffer, Environmental Protection Agency, NERL Exposure Methods and Measurement Division, Research Triangle Park, NC, United States, Marlon Lewis, Dalhousie University, Halifax, NS, Canada and Stephane Maritorena, UCSB, Santa Barbara, CA, United States
 
ME24C-0110
Bright Oceans: Spectral differentiation of whitecaps, sea ice, floating vegetation, plastics, and other flotsam (648937)
Heidi M Dierssen, University of Connecticut Avery Point, Groton, CT, United States, Shungudzemwoyo Pascal Garaba, University of Connecticut, Marine Sciences, Groton, CT, United States and Kaylan L Randolph, University of Connecticut, Groton, CT, United States
 
ME24C-0111
Can imaging spectroscopy facilitate the detection of wastewater effluent in coastal waters? (637837)
Joshua P Harringmeyer1, Karl Kaiser2, David R Thompson3, Michelle M Gierach4, Curtis L. Cash5 and Cedric G Fichot1, (1)Boston University, Dept. of Earth & Environment, Boston, United States, (2)Texas A&M University at Galveston, Department of Marine and Coastal Environmental Science, Galveston, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)City of Los Angeles, Environmental Monitoring Division, LA Sanitation and Environment, Los Angles, CA, United States
 
ME24C-0112
Characterization of Hyperspectral Inherent and Apparent Optical Properties of Harmful Algal Blooms in Lake Erie (654600)
Michael Sayers1,2, Karl Bosse2, Steven A Ruberg3, Gary Fahnenstiel4, Robert A Shuchman4 and Reid Sawtell5, (1)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (2)Michigan Tech Research Institute, Ann Arbor, MI, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)Michigan Tech Research Inst, Ann Arbor, MI, United States, (5)Michigan Tech Research Inst, Ann Arbor, United States
 
ME24C-0113
Coastal Bio-Optical Properties Derived from Empirical Line Calibration of Aircraft and UAV Remote Sensing Imagery (646931)
David Lewis1, Richard W Gould Jr2, Geoffrey B Smith3 and David Miller3, (1)US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (2)US Naval Research Laboratory, Stennis Space Center, MS, United States, (3)Naval Research Laboratory, Remote Sensing, Washington, DC, United States
 
ME24C-0114
Hyperspectral Remote Sensing of the Amazon River Plume (646747)
Sivert Bakken1, Jianwei Wei2, Zhongping Lee3, Geir Johnsen4, Tor Arne Johansen1, Joseph Montoya5 and Ajit Subramaniam6, (1)Norwegian University of Science and Technology, Engineering Cybernetics, Trondheim, Norway, (2)University of Massachusetts, Boston, MA, United States, (3)Unv. Massachusetts Boston, Boston, MA, United States, (4)Norwegian University of Science and Technology, Trondheim, Norway, (5)School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States, (6)Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States
 
ME24C-0115
Polarimetric Imaging of the Ocean Surface (654818)
Mateusz Malinowski, The City College of New York, Optical Remote Sensing, New York, NY, United States, Carlos Daniel Carrizo, The City College of New York, NOAA-CREST Optical Remote Sensing Laboratory, New York, NY, United States, Philipp Grotsch, CUNY City College of New York, New York, NY, United States and Alexander Gilerson
 
ME24C-0117
Retrieval of Water Quality Parameters from NOAA Hyperspectral Data Using Neural Networks - Western Lake Erie (658189)
Kiana Zolfaghari, University of Waterloo, Department of Geography & Environmental Management and Interdisciplinary Centre on Climate Change (IC3), Waterloo, ON, Canada, Andrea Joy Vander Woude, Great Lakes Environmental Research Laboratory, Ann Arbor, United States and Claude R Duguay, University of Waterloo, Waterloo, ON, Canada
 
ME24C-0118
Sensor Fusion in the Chromatic Domain: Expanding the spatiotemporal reach of the operational ocean color constellation (647355)
Jason Jolliff1, Sherwin Ladner2, Sean McCarthy3, David Lewis4, Adam Lawson2 and Richard L Crout5, (1)US Naval Research Laboratory, Washington, DC, United States, (2)Naval Research Laboratory, Stennis Space Center, MS, United States, (3)US Naval Research Laboratory, Stennis Space Center, MS, United States, (4)US Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States, (5)Naval Research Laboratory, Stennis Space Center, United States
 
ME24C-0119
Spectral Variability of Sky and Sun Glint in Hyperspectral Above-surface Reflectance Observations (639800)
Philipp Grotsch, CUNY City College of New York, New York, NY, United States, Robert Foster, US Naval Research Laboratory, Remote Sensing Division, Washington, United States and Alex Gilerson, The City College of New York, NOAA-CREST Optical Remote Sensing Laboratory, New York, NY, United States
 
ME24C-0120
The Uncertainty Variation of Optical Properties between Different Water Classes Based on QA (645813)
Shuai Zhang, University of Massachusetts Boston, School for the Environment, Boston, United States, Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States and Jianwei Yang, NOAA/NESDIS/STAR, College Park, MD, United States
 
ME24C-0121
Under the Fog: Examining the potential of shipboard hyperspectral sensors for monitoring water quality in San Francisco Bay (647767)
Niky Taylor, University of California Santa Cruz, Santa Cruz, CA, United States and Raphael Martin Kudela, University of California Santa Cruz, Santa Cruz, United States
 
ME24C-0122
WaterSat Imaging Spectrometer Experiment (WISE) for optically shallow and coastal waters assessment (644586)
Simon Bélanger1, Carlos Araujo2, Mathieu Cusson3, Christel Blot3, François P. Danhiez2, Julien Desrochers4, Yanick Gendreau5, Joshua P Harringmeyer6, Gabriela Ifimov7, Julien Laliberté5, Brigitte Légaré2, Romy Leger-Daigle2, Jérémie Lemarchand2, Raphael Mabit2, Jimmy Mayrand2, Soham Mukherjee2, Christian Nozais2, Raymond Soffer7, Sandra Velasquez5 and Matthew W. Weiser6, (1)University of Quebec at Rimouski UQAR, Biology, Chemistry and Geography ; AquaTel Research Lab, Rimouski, QC, Canada, (2)Université du Québec à Rimouski, Biology, Chemistry and Geography, Rimouski, QC, Canada, (3)Université du Québec à Chicoutimi, Biology, Chicoutimi, QC, Canada, (4)CIDCO, Rimouski, QC, Canada, (5)Dept. of Fisheries and Oceans Canada, Mont-Joli, QC, Canada, (6)Boston University, Dept. of Earth & Environment, Boston, United States, (7)National Research Council of Canada, Aerospace Division, Ottawa, ON, Canada
See more of: Marine Ecology and Biodiversity