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, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, 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, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Student Paper Review Liaison:  Raphael Martin Kudela, University of California Santa Cruz, Santa Cruz, United States

Abstracts Submitted to this Session:

 
A Compressive Sensing Based Hyperspectral Ocean Color Imager for CubeSats (653983)
Michael S Twardowski, Harbor Branch Oceanographic Institute, Ft. Pierce, FL, United States, Bing Ouyang, Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, FL, United States, Ed Malkiel, Harbor Branch Oceanographic Institute, Ft. Pierce, United States and Graham Sanborn, Naval Information Warfare Center - Pacific, San Diego, United States
 
A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications (640410)
Kimberly Casey1, Cecile S Rousseaux2, Watson W Gregg2, Emmanuel Boss3, Alison P Chase4, Susanne Elizabeth Craig5, Colleen B Mouw6, Rick A Reynolds7, Dariusz Stramski8, Steven G Ackleson9, Annick Bricaud10, Blake A Schaeffer11, Marlon Lewis12 and Stephane Maritorena13, (1)USGS National Land Imaging Program, Reston, VA, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Maine, Orono, ME, United States, (4)University of Maine, School of Marine Science, Orono, ME, United States, (5)NASA Goddard Space Flight Center, Ocean Ecology Laboratory, Greenbelt, United States, (6)University of Rhode Island, Narragansett, RI, United States, (7)Scripps Inst. of Oceanography, La Jolla, CA, United States, (8)Univ California San Diego, La Jolla, CA, United States, (9)Naval Research Laboratory, Washington, DC, United States, (10)Sorbonne Universités, UPMC Univ Paris 06, INSU-CNRS, Laboratoire d'Océanographie de Villefranche, 181 Chemin du Lazaret, 06230, Villefranche-sur-mer, France, (11)Environmental Protection Agency, NERL Exposure Methods and Measurement Division, Research Triangle Park, NC, United States, (12)Dalhousie University, Halifax, NS, Canada, (13)UCSB, Santa Barbara, CA, United States
 
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
 
Can imaging spectroscopy facilitate the detection of wastewater effluent in coastal waters? (637837)
Joshua P Harringmeyer1, Karl Kaiser2, David R Thompson3, Michelle M Gierach3, Curtis L. Cash4 and Cedric G Fichot1, (1)Boston University, Dept. of Earth & Environment, Boston, United States, (2)Texas A&M University at Galveston, Marine Sciences, Galveston, TX, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)City of Los Angeles, Environmental Monitoring Division, LA Sanitation and Environment, Los Angles, CA, United States
 
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 Fahnenstiel2, Robert A Shuchman2 and Reid Sawtell4, (1)Michigan Technological University, Michigan Tech Research Institute, Houghton, MI, United States, (2)Michigan Tech Research Inst, Ann Arbor, MI, United States, (3)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States, (4)Michigan Tech Research Inst, Ann Arbor, United States
 
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)Naval Research Laboratory, Ocean Sciences, 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
 
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, NY, United States
 
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
 
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, Cherokee Nation Technology Solutions, Ann Arbor, United States and Claude R Duguay, University of Waterloo, Waterloo, ON, Canada
 
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)Naval Research Laboratory, Ocean Sciences, Stennis Space Center, MS, United States, (5)Naval Research Lab, Stennis Space Center, MS, United States
 
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, Washington, DC, United States and Alex Gilerson, The City College of New York, NOAA-CREST Optical Remote Sensing Laboratory, New York, NY, United States
 
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, MA, United States, Zhongping Lee, Unv. Massachusetts Boston, Boston, MA, United States and Jianwei Wei, NOAA/NESDIS/STAR, College Park, MD, United States
 
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
 
WaterSat Imaging Spectrometer Experiment (WISE) for optically shallow and coastal waters assessment (644586)
Simon Bélanger1, Carlos Araujo1, Mathieu Cusson2, Christel Blot2, François P. Danhiez1, Julien Desrochers3, Yanick Gendreau4, Joshua P Harringmeyer5, Gabriela Ifimov6, Julien Laliberté4, Brigitte Légaré1, Romy Leger-Daigle1, Jérémie Lemarchand1, Raphael Mabit1, Jimmy Mayrand1, Soham Mukherjee1, Christian Nozais1, Raymond Soffer6, Sandra Velasquez4 and Matthew W. Weiser7, (1)Université du Québec à Rimouski, Biology, Chemistry and Geography, Rimouski, QC, Canada, (2)Université du Québec à Chicoutimi, Biology, Chicoutimi, QC, Canada, (3)CIDCO, Rimouski, QC, Canada, (4)Dept. of Fisheries and Oceans Canada, Mont-Joli, QC, Canada, (5)Boston University, Dept. of Earth & Environment, Boston, United States, (6)National Research Council of Canada, Aerospace Division, Ottawa, ON, Canada, (7)Boston University, Earth & Environment, Boston, MA, United States