GC13F:
Advancing Global Surface Biology and Geology Science with Visible to Short-Wavelength Infrared Imaging Spectroscopy and Thermal Infrared Measurements Posters


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Session ID#: 43727

Session Description:
We review the science and applications of recent airborne imaging spectrometer and thermal infrared imager campaigns in the United States, India, and elsewhere.  These will underpin continuing development of a future NASA global mission for full spectrum reflectance and thermal infrared imagery.  In the next decade, with this new capability, we foresee collection of vital information on the state of Earth’s geosphere, biosphere, and hydrosphere.  This session will also highlight methodologies and scaling issues relevant to global Surface Biology and Geology measurement prioritized by the 2017 Earth Science and Applications Decadal Survey.  

Our themes include: coral reef surveys; volcano investigations; surface ecology and biodiversity studies; aquatic ecosystem and water quality monitoring; hydrology studies, including ice and snow characterization; land use studies; and more.  Today’s research in these areas provides a strong foundation to utilize global spectroscopic and thermal infrared measurements in the future, and advances urgent new Earth science objectives.

Primary Convener:  David R Thompson, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Conveners:  Robert O Green1, Elizabeth Middleton2 and Simon J Hook1, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States(2)NASA Goddard Space Flight Cen., Greenbelt, MD, United States
Primary Liaison:  David R Thompson, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Chairs:  Robert O Green, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Elizabeth Middleton, NASA Goddard Space Flight Cen., Greenbelt, MD, United States and Simon J Hook, NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
OSPA Liaison:  Ian Mccubbin, JPL/NASA/Caltech, Pasadena, United States
Index Terms:

0232 Impacts of climate change: ecosystem health [GEOHEALTH]
1640 Remote sensing [GLOBAL CHANGE]
4217 Coastal processes [OCEANOGRAPHY: GENERAL]
4337 Remote sensing and disasters [NATURAL HAZARDS]

Abstracts Submitted to this Session:

A Global Imaging Spectroscopy Data System: Big Data Access, Distribution and Utility Challenges and Solutions for Facilitating Science and Applications (459991)
E. Natasha Stavros1, Winston Olson-Duvall2, Hook Hua3, Philip A Townsend4, David R Thompson5 and Robert O Green3, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, United States, (5)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
HypMap: a web-based application for hyperspectral data visualization (450761)
Michael Billmire, Michigan Technological University, Michigan Tech Research Institute, Houghton, United States, Jessica McCarty, NASA Ames Research Center, Moffett Field, United States and Amanda Grimm, Great Lakes Commission, Ann Arbor, United States
Detection & Instrument Characterization Using Spatial Statistical Models (360017)
Armeen Taeb1, Michael Turmon2 and Venkat Chandrasekaran1, (1)California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
Quantifying Methane Leak Emissions by Fused Airborne Imaging Spectroscopy with in situ Surface Mobile and Airborne Observations of a California Producing Oil Field (403352)
Ira Leifer1, David M. Tratt2, Kerry N Buckland3, Matthew M Fladeland4, Patrick D Johnson5, Christopher Melton6, Jason Frash7, Laura T Iraci8, Tomoaki Tanaka8, Emma L Yates8, Warren Gore8 and Ju-Mee Ryoo9, (1)Bubbleology Research International, Solvang, CA, United States, (2)The Aerospace Corporation, Pasadena, CA, United States, (3)Aerospace Corporation, Los Angeles, United States, (4)NASA Ames Research Ctr, Moffett Field, CA, United States, (5)Aerospace Corporation Pasadena, Pasadena, CA, United States, (6)Bubbleology Research International, Solvang, United States, (7)Bubbleology Research International LLC, Santa Barbara, CA, United States, (8)NASA Ames Research Center, Moffett Field, CA, United States, (9)NASA Ames Research Center/Bay Area Environmental Research Institute, Moffett Field, United States
Fast and reliable gas path-concentration inversion for thermal InfraRed (IR) hyperspectral imaging data obtained from downward looking sensors (420163)
Andrea Gabrieli, Univ. of Hawaii, HIGP, Honolulu, HI, United States, Robert Wright, University of Hawaii HIGP, HIGP, Honolulu, United States, Paul G Lucey, Hawaii Inst Geophys & Planetol, Honolulu, United States and John Nolan Porter, Univ. of Hawaii, Hawaii Institute of Geophysics and Planetology, Honolulu, HI, United States
Surface-independent Aerosol Retrieval from Hyperspectral Imagery (370934)
Dr. Steffen Mauceri, University of Colorado at Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States, Bruce C Kindel, Univ Colorado, Boulder, CO, United States, Steven T Massie, Natl Ctr Atmospheric Research, Boulder, United States and Peter Pilewskie, University of Colorado, Laboratory for Atmospheric and Space Physics, Boulder, United States
Aerosol atmospheric correction of hyperspectral image data collected in India (439379)
Bruce C Kindel1, Steven T Massie2, Manoj Kumar Mishra3 and Dr. Steffen Mauceri1, (1)University of Colorado at Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States, (2)LASP, University of Colorado at Boulder, Boulder, CO, United States, (3)Indian Space Research Organization, Space Applications Centre, Ahmedabad, India
Flight Research Techniques That Bring Results Using NASA Armstrong Airborne Science ER-2, G3, and DC-8 Aircraft (396086)
Robert A Rowe, NASA Armstrong Flight Research Center, Edwards, CA, United States
Airborne Preparatory Activities for Decadal Survey Designated Foundational Observations (468705)
Ian Mccubbin1, Robert O Green2, Simon J Hook3, William Turner4, Benjamin R Phillips5, Jeffrey S Myers6, RoseAnne Dominguez7 and David R Thompson3, (1)JPL/NASA/Caltech, Pasadena, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)NASA Headquarters, Washington DC, United States, (5)NASA Headquarters, Washington, DC, United States, (6)University of California Santa Cruz, Santa Cruz, CA, United States, (7)NASA Ames Research Ctr, Moffett Field, United States
Compact Hyperspectral Prism Spectrometer: Recent Flight Campaign and Applications to the Future of Sustainable Land Imaging (399601)
William S Good and Dr. Thomas U Kampe, PhD, Ball Aerospace & Technologies Corp, Boulder, CO, United States
Structure and Function of Ecosystems – a Smallsat Compliment to SBG (410193)
Daniel Mandl1, Kenneth Ranson1, Elizabeth Middleton2, Karl F Huemmrich3, Philip Dabney4 and Jacqueline Le Moigne5, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)NASA Goddard Space Flight Cen., Greenbelt, MD, United States, (3)NASA Goddard Space Flight Cen., Greenbelt, United States, (4)NASA Goddard Space Flight Cent, Greenbelt, MD, United States, (5)NASA Goddard Institute for Space Studies, Greenbelt, MD, United States
Enabling a Threshold-Selection Algorithm for Excising Cloud-Contaminated Data Onboard Orbital Imaging Spectrometers (400233)
Macey Sandford1, David R Thompson2, Winston Olson-Duvall3, Robert O Green4, Brian H Kahn3 and Paul G Lucey5, (1)Ball Aerospace & Technologies Corp, Boulder, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (5)Hawaii Inst Geophys & Planetol, Honolulu, United States
A Floating Vegetation Index (FVI) formed with three near-IR channels in the 1.0 – 1.24 micron spectral range for detecting vegetation floating over water surfaces (416875)
Bo-Cai Gao, Naval Research Lab DC, Remote Sensing, Washington, DC, United States
Improving Accuracy of Salt Marsh Aboveground Biomass using High-Spatial Resolution, Multi-View Hyperspectral Imaging Systems (449442)
Rehman Saifee Eon1, Sarah Goldsmith1, Christopher Lapszynski2, Gregory Badura1, Charles M Bachmann1, Anna Christina Tyler3, Timothy Bauch4 and David Osgood5, (1)Rochester Institute of Technology, Rochester, NY, United States, (2)Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, NY, United States, (3)Rochester Institute of Technology, Thomas H. Gosnell School of Life Sciences, Rochester, United States, (4)Rochester Institute of Technology, Rochester, United States, (5)Albright College, Reading, PA, United States
High spectral resolution datasets of in situ aquatic inherent and apparent optical properties (395924)
Kimberly Casey1,2, Cecile S Rousseaux3, Watson W Gregg3, Emmanuel Boss4, Alison Chase5, Colleen B Mouw6, Rick A Reynolds7, Dariusz Stramski8, Steven G Ackleson9, Annick Bricaud10, Blake A Schaeffer11, Marlon Lewis12, Susanne Elizabeth Craig3 and Stephane Maritorena13, (1)USGS Headquarters, National Land Imaging Program, Reston, United States, (2)USGS Headquarters, National Land Imaging Program, Reston, VA, United States, (3)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (4)University of Maine, School of Marine Sciences, Orono, United States, (5)University of Washington, Applied Physics Laboratory, Seattle, United States, (6)University of Rhode Island, Narragansett, RI, United States, (7)Scripps Institution of Oceanography, La Jolla, CA, United States, (8)Univ California San Diego, La Jolla, 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, Research Triangle Park, United States, (12)Dalhousie University, Halifax, NS, Canada, (13)UCSB, Santa Barbara, CA, United States
Diurnal dynamics of total suspended material in the turbid Pearl River Estuary (460907)
Jun Zhao, Sun Yat-Sen University, Guangzhou, China
Spatio-temporal Variations of CDOM in Shallow Inland Waters from a Semi-analytical Inversion of Landsat-8 (440822)
Qian Yu, University of Massachusetts Amherst, Department of Geosciences, Amherst, MA, United States, Jiwei Li, Carnegie Institution for Science Stanford, Department of Global Ecology, Stanford, CA, United States and Yong Qian Tian, Central Michigan University, Mount Pleasant, MI, United States
Prioritizing aquatic science and applications needs in the Chesapeake Bay for a space-borne hyperspectral mission (382341)
Stephanie Schollaert Uz, NASA Goddard Space Flight Center, Earth Sciences Division, Greenbelt, MD, United States, Kevin Ross Turpie, University of Maryland Baltimore County, Goddard Earth Sciences Technology and Research (GESTAR) II, Baltimore, MD, United States and Christopher Brown, NOAA, Center for Satellite Applications and Research, College Park, MD, United States
Comparative analysis of specteal characteristics between heavey metal contaminated tailings and soils in mine area (464027)
Yongsik Jeong1, Jaehyung Yu2, Jihye Shin1, Sang-Mo Koh3 and Gyesoon Park4, (1)Chungnam National University, Daejeon, Korea, Republic of (South), (2)Chungnam National University, Daejeon, South Korea, (3)Korea Institute of Geoscience and Mineral Resources,, Daejeon, South Korea, (4)Korea Institute of Geoscience and Mineral Resources, Daejeon, South Korea
Hyperspectral based Mapping of Hydrothermal Altered Minerals using AVIRIS-NG Data and Machine Learning Algorithms in Hutti-Maski Gold Deposit Region, India (426594)
Chandan Kumar, Michigan Technological University, Houghton, MI, United States, Snehamoy Chatterjee, Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, MI, United States and Thomas Oommen, University of Mississippi, Geology and Geological Engineering, Oxford, United States
Visible/Shortwave and Thermal Infrared Measurements at Cuprite, Nevada: Complementary or Corroborating? (413454)
Alberto Candela1, David R Thompson2, Kerry Cawse-Nicholson3, David S Wettergreen1, Sven Geier3, Michael L Eastwood4, Robert O Green3 and Roger Nelson Clark5, (1)Carnegie Mellon University, Pittsburgh, United States, (2)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (5)Planetary Science Institute, Tucson, AZ, United States
High-throughput phenotyping of photosynthetic capacities: an ensemble approach based on multiple machine learning models (381643)
Peng Fu, University of Illinois at Urbana Champaign, Urbana, IL, United States, Katherine Meacham-Hensold, University of Illinois at Urbana-Champaign, Carl R. Woese Institute for Genomic Biology, Urbana, United States, Carl Bernacchi, University of Illinois Urbana-Champaign, DOE Center for Advanced Bioenergy and Bioproducts Innovation, Urbana, United States and Kaiyu Guan, University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States
Close-Range Hyperspectral Imaging of Dynamic Vegetation Communities in a High Arctic Tundra Ecosystem (370344)
Miguel Velez-Reyes1, Sergio A Vargas Zesati2, Stephen Michael Escarzaga2, Craig E. Tweedie2, Astrid D Chacon1 and Karl F Huemmrich3, (1)University of Texas at El Paso, Electrical and Computer Engineering, El Paso, TX, United States, (2)University of Texas at El Paso, El Paso, TX, United States, (3)NASA Goddard Space Flight Cen., Greenbelt, United States
Mapping Vegetation Cover Fractions using Brightness Corrected Hyperspectral Image Mosaics and Machine Learning Regression (447361)
Sam Cooper1, Akpona Okujeni2, Clemens Jänicke1, Sebastian van der Linden1 and Patrick Hostert3, (1)Humboldt University of Berlin, Berlin, Germany, (2)Humboldt-Universität zu Berlin, Earth Observation Lab, Berlin, Germany, (3)Humboldt-Universität zu Berlin, Geography Department, Berlin, Germany
Using Hyperspectral Imagery and Vegetation Indices to Predict Tree Mortality in a Northeastern American Forest (449208)
David Hulslander, National Ecological Observatory Network, Boulder, CO, United States and Tristan Goulden, National Ecological Observatory Network, Airborne Observation Platform, Boulder, CO, United States
Seasonal and diurnal drone and ground-based thermal, multispectral and hyperspectral imaging to quantify responses of California oak woodland productivity and evapotranspiration to extreme climate conditions (455355)
Marc T Mayes, Princeton University, Princeton, NJ, United States; University of California-Santa Barbara, Santa Barbara, CA, United States, Kelly K Caylor, University of California Santa Barbara, Department of Geography, Santa Barbara, CA, United States, Rebecca N Greenberger, Caltech, California Pasadena, United States and Bethany L Ehlmann, California Institute of Technology, Geological and Planetary Sciences, Pasadena, CA, United States
Drought Response of Urban Vegetation using Airborne Imaging Spectroscopy (380013)
David L Miller, University of California Santa Barbara, Santa Barbara, United States, Dar A Roberts, University of California, Santa Barbara, Department of Geography, Santa Barbara, United States, Christina (Naomi) Tague, UC Santa Barbara, Bren School of Environmental Science and Management, Santa Barbara, United States, Michael Alonzo, American University, Department of Environmental Science, Washington, DC, United States and Joseph P McFadden, University of California, Santa Barbara, CA, United States
Spatiotemporal Rice Phenology and Imaging Spectroscopy (408667)
Daniel Sousa, Columbia University of New York, Lamont Doherty Earth Observatory, Palisades, NY, United States and Christopher Small, Lamont Doherty Earth Obs., Palisades, NY, United States
Using AVIRIS-NG Imagery to Map Agricultural Systems with Binary Classifiers and Limited Field Data (408167)
Sakthi Kumaran1, Eric Ariel L Salas1, Brian K Slater2, Kaiguang Zhao2, Bimal Kumar Bhattacharya3, Rojalin Tripathy4, Ayan Das4 and Rahul Nigam4, (1)Central State University, Agricultural Research Development Program (ARDP), Wilberforce, OH, United States, (2)The Ohio State University, Columbus, United States, (3)Indian Space Research Organization- Space Applications Center, Ahemadabad, India, (4)Indian Space Research Organization- Space Applications Center, Ahmedabad, India

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