IGN 7
Airborne Hyperspectral Remote Sensing of Terrestrial Ecosystems

Wednesday, August 13, 2014: 8:00 AM-9:30 AM
313, Sacramento Convention Center
Organizer:
Kyla M. Dahlin, National Center for Atmospheric Research
Co-organizers:
Andrew M. Fox, National Ecological Observatory Network; and Shawn P. Serbin, Brookhaven National Laboratory
Moderator:
Alan R. Townsend, University of Colorado at Boulder
Airborne hyperspectral remote sensing, or imaging spectroscopy, permits ‘wall to wall’ mapping of plant chemical properties, traits, metabolic function, and biodiversity, as well as other ecosystem components such as air quality, animal habitat, wildfire impacts, and the urban-wildland interface all at very high spatial and spectral resolutions. These data can, in turn, yield unique insights about plant community composition, the origins of biodiversity, point-source pollution, ecosystem health, human impacts, and many other aspects of ecosystem structure and function. Terrestrial ecosystem science has entered an ‘open data revolution’ in remote sensing, where these data and others are becoming increasingly free and publicly available through the NASA Jet Propulsion Laboratory’s Airborne Visible Infrared Imaging Spectrometer (AVIRIS) program and, soon, the National Ecological Observatory Network’s (NEON) Airborne Observation Platform (AOP). As such, we remote sensing scientists would like to draw the attention of the rest of the ESA community to the potential uses of these data for ecological research and to spark a discussion about the advantages and limitations of airborne hyperspectral remote sensing for many sub-disciplines of ecology. This session will be a dynamic and engaging conversation about current applications of airborne hyperspectral remote sensing and the future of this tool for ecology. We hope to broaden interest in new remote sensing applications and to have an open exchange of ideas between field ecologists, remote sensing scientists, and environmental practitioners.
 What is hyperspectral remote sensing? An introduction
Kyla M. Dahlin, National Center for Atmospheric Research
 Hyperspectral remote sensing of plant traits
Susan Ustin, Center for Spatial Technologies and Remote Sensing
 Quantifying the variability of ecosystem functional traits and plant metabolism with field and imaging spectroscopy
Shawn P. Serbin, Brookhaven National Laboratory; Aditya Singh, University of Wisconsin - Madison; Clayton C. Kingdon, University of Wisconsin - Madison; John Couture, University of Wisconsin; Eric L. Kruger, University of Wisconsin-Madison; Brenden E. McNeil, West Virginia University; Philip A. Townsend, University of Wisconsin - Madison
 From point to pixel to continent: Ecological applications of continental scale data cubes
Leah A. Wasser, NEON, Inc.; Shelley Petroy, NEON, Inc.; Nathan Leisso, National Ecological Observatory Network (NEON, Inc.)
 Spectral expressions of plant species: Biochemistry, structure and phenology
Keely L. Roth, University of California Davis; Dar A. Roberts, University of California at Santa Barbara; Susan L. Ustin, University of California Davis; Maria M. Alsina, University of California, Davis; Margarita Huesca, University of California Davis; Angeles Casas, University of California Davis; Spencer Mathews, University of California, Davis; Philip E. Dennison, University of Utah
Cancelled
 Exploring tropical forests with imaging spectroscopy
Gregory P. Asner, Carnegie Institution for Science
 Preparing land surface models for the next generation of hyperspectral data
Andrew M. Fox, National Ecological Observatory Network
 Mapping species from above with hyperspectral remote sensing
Claire A. Baldeck, Carnegie Institution for Science; Gregory P. Asner, Carnegie Institution for Science
 Quantifying methane emissions from natural and anthropogenic sources using AVIRIS-like insturments
Andrew K. Thorpe, University of California, Santa Barbara; Christian Frankenberg, Jet Propulsion Laboratory, California Institute of Technology; Dar A. Roberts, University of California at Santa Barbara; Andrew D. Aubrey, Jet Propulsion Laboratory, California Institute of Technology
 Imaging spectroscopy for wildfire applications
Philip E. Dennison, University of Utah
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