IN44A:
Cyberinfrastructure for Field Work: Data Standards, Computer Applications, Instrumentation, and Best Practices II

Session ID#: 2210

Thursday, 18 December 2014: 4:00 PM-6:00 PM
2020 (Moscone West)
Chairs:  Matty Mookerjee, Rensselaer Polytechnic Institute, Troy, NY, United States and Charuleka Varadharajan, Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States
Primary Convener:  Xiaogang Ma, Rensselaer Polytechnic Institute, Troy, United States
Co-conveners:  Matty Mookerjee, Sonoma State University, Rohnert Park, United States, Charuleka Varadharajan, Lawrence Berkeley National Laboratory, Earth and Environmental Sciences Area, Berkeley, CA, United States and Deb Agarwal, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
OSPA Liaison:  Xiaogang Ma, Rensselaer Polytechnic Institute, Troy, United States
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • C - Cryosphere
  • DI - Study of the Earth's Deep Interior
  • EP - Earth and Planetary Surface Processes
  • G - Geodesy
  • GP - Geomagnetism and Paleomagnetism
  • H - Hydrology
  • NH - Natural Hazards
  • OS - Ocean Sciences
  • PP - Paleoceanography and Paleoclimatology
  • T - Tectonophysics
  • V - Volcanology, Geochemistry and Petrology
Index Terms:
Virtual Option?: No

Abstracts Submitted to this Session:

Digital Curation of Earth Science Samples Starts in the Field (Invited) (3512)
Kerstin Lehnert, Lamont-Doherty Earth Observatory, Palisades, United States, Leslie Hsu, Lamont-Doherty Earth Obs, Palisades, United States, Lulin Song, Columbia University, Lamont-Doherty Earth Observatory, Palisades, NY, United States and Megan Carter Orlando, Lamont -Doherty Earth Observatory, Palisades, NY, United States
Sedimentary Geology Context and Challenges for Cyberinfrastructure Data Management (Invited) (5560)
Marjorie A Chan, Univ Utah, Salt Lake City, United States and David A Budd, University of Colorado Boulder, Geological Sciences, Boulder, CO, United States
Towards Making Data Bases Practical for use in the Field (Invited) (3585)
Tobias P Fischer1, Kerstin Lehnert2, Giovanni Chiodini3, Brendan McCormick4, Carlo Cardellini5, Laura E Clor6 and Elizabeth Cottrell4, (1)University of California, Santa Barbara, Santa Barbara, United States, (2)Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, (3)INGV Observatorio Vesuviano, 8124 Napoli, Italy, (4)National Museum of Natural History, Smithsonian Institution,, Department of Mineral Science, Washington, DC, United States, (5)University of Perugia, Perugia, Italy, (6)University of New Mexico, Department of Earth and Planetary Sciences, Albuquerque, NM, United States
The many facets of integrating data and metadata for research networks: experience from the AmeriFlux Network (Invited) (3320)
Gilberto Pastorello1, Cristina Poindexter2, Catharine van Ingen1, Dario Papale3 and Deb Agarwal1, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of California Berkeley, Berkeley, CA, United States, (3)National Research Council, Institute of Research on Terrestrial Ecosystems (CNR-IRET), Montelibretti, Italy
Multivariate Spatio-Temporal Clustering: A Framework for Integrating Disparate Data to Understand Network Representativeness and Scaling Up Sparse Ecosystem Measurements (Invited) (3317)
Dr. Forrest M Hoffman, PhD1,2, Jitendra Kumar3, Damian Matthew Maddalena3,4, Zachary Langford3 and William Walter Hargrove5, (1)Oak Ridge National Laboratory, Computational Sciences & Engineering Division, Oak Ridge, United States, (2)Computational Earth Sciences Group and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, United States, (3)Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, (4)University of North Carolina at Wilmington, Geography and Geology, Wilmington, NC, United States, (5)USDA Forest Service Southern Research Station, Eastern Forest Environmental Threat Assessment Center, Hot Springs National, AR, United States
Information Requirements for Integrating Spatially Discrete, Feature-Based Earth Observations (Invited) (4295)
Jeffery S Horsburgh, Utah State University, Civil and Environmental Engineering, Utah Water Research Laboratory, Logan, UT, United States, Anthony Keith Aufdenkampe, Stroud Water Research Center, Avondale, PA, United States, Kerstin Lehnert, Columbia University, Lamont-Doherty Earth Observatory, Palisades, United States, Emilio Mayorga, Applied Physics Laboratory University of Washington, Seattle, United States, Leslie Hsu, Lamont-Doherty Earth Obs, Palisades, United States, Lulin Song, Columbia University, Lamont-Doherty Earth Observatory, Palisades, NY, United States, Ilya Zaslavsky, San Diego Supercomputer Center, La Jolla, United States, David L Valentine, Univ California, Santa Barbara, United States and The ODM2 Development Team
Machine Learning on Images: Combining Passive Microwave and Optical Data to Estimate Snow Water Equivalent (Invited) (4873)
Jeff Dozier, University of California Santa Barbara, Santa Barbara, CA, United States, Kristin Tolle, Microsoft Corporation, Redmond, WA, United States and Edward Bair, University of California, Earth Research Institute, Santa Barbara, CA, United States
FreshAiR and Field Studies—Augmenting Geological Reality with Mobile Devices (17471)
Helen Crompton1, Matt Dunleavy2 and Declan G De Paor1, (1)Old Dominion Univ, Norfolk, VA, United States, (2)Radford University, Academic Affairs, Radford, VA, United States