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

Thursday, 18 December 2014: 4:00 PM-6:00 PM
Chairs:  Matty Mookerjee, Rensselaer Polytechnic Institute, Troy, NY, United States and Charuleka Varadharajan, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Primary Conveners:  Xiaogang Ma, Rensselaer Polytechnic Institute, Troy, NY, United States
Co-conveners:  Matty Mookerjee, Sonoma State University, Rohnert Park, CA, United States, Charuleka Varadharajan, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Deb Agarwal, LBNL, Berkeley, CA, United States
OSPA Liaisons:  Xiaogang Ma, Rensselaer Polytechnic Institute, Troy, NY, United States

Abstracts Submitted to this Session:

4:00 PM
 
Digital Curation of Earth Science Samples Starts in the Field
Kerstin A Lehnert1, Leslie Hsu2, Lulin Song1 and Megan R Carter3, (1)Lamont-Doherty Earth Observatory, Palisades, NY, United States, (2)Lamont-Doherty Earth Obs, Palisades, NY, United States, (3)Lamont -Doherty Earth Observatory, Palisades, NY, United States
4:13 PM
 
Sedimentary Geology Context and Challenges for Cyberinfrastructure Data Management
Marjorie A Chan, Univ Utah, Salt Lake City, UT, United States and David A Budd, University of Colorado at Boulder, Geological Sciences, Boulder, CO, United States
4:26 PM
 
Towards Making Data Bases Practical for use in the Field
Tobias P Fischer1, Kerstin A Lehnert2, Giovanni Chiodini3, Brendan McCormick4, Carlo Cardellini5, Laura E Clor1 and Elizabeth Cottrell4, (1)University of New Mexico, Department of Earth and Planetary Sciences, Albuquerque, NM, United States, (2)Columbia University, Palisades, NY, 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
4:39 PM
 
A Web-Based Information System for Field Data Management
Yi-Hua Weng and Fu-Shing Sun, Ball State University, Muncie, IN, United States
4:52 PM
 
The many facets of integrating data and metadata for research networks: experience from the AmeriFlux Network
Gilberto Pastorello1, Cristina Poindexter2, Catharine van Ingen1, Dario Papale3 and Deb Agarwal4, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)University of California Berkeley, Berkeley, CA, United States, (3)Tuscia University, Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), Viterbo, Italy, (4)LBNL, Berkeley, CA, United States
5:05 PM
 
Multivariate Spatio-Temporal Clustering: A Framework for Integrating Disparate Data to Understand Network Representativeness and Scaling Up Sparse Ecosystem Measurements
Forrest M Hoffman1,2, Jitendra Kumar2, Damian Matthew Maddalena2,3, Zachary Langford2 and William Walter Hargrove4, (1)University of California Irvine, Department of Earth System Science, Irvine, CA, United States, (2)Oak Ridge National Laboratory, Climate Change Science Institute, Oak Ridge, TN, United States, (3)University of North Carolina at Wilmington, Geography and Geology, Wilmington, NC, United States, (4)USDA Forest Service Southern Research Station, Eastern Forest Environmental Threat Assessment Center, Asheville, NC, United States
5:18 PM
 
Information Requirements for Integrating Spatially Discrete, Feature-Based Earth Observations
Jeffery S Horsburgh, Utah State University, Logan, UT, United States, Anthony Keith Aufdenkampe, Stroud Water Research Center, Avondale, PA, United States, Kerstin A Lehnert, Columbia University, Palisades, NY, United States, Emilio Mayorga, Applied Physics Laboratory University of Washington, Seattle, WA, United States, Leslie Hsu, Lamont-Doherty Earth Obs, Palisades, NY, United States, Lulin Song, Lamont-Doherty Earth Observatory, Palisades, NY, United States, Ilya Zaslavsky, San Diego Supercomputer Center, Spatial data lab, La Jolla, CA, United States and David L Valentine, Univ California, Santa Barbara, CA, United States
5:31 PM
 
Machine Learning on Images: Combining Passive Microwave and Optical Data to Estimate Snow Water Equivalent
Jeff Dozier1, Kristin Tolle2 and Ned Bair1, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)Microsoft Corporation, Redmond, WA, United States
5:44 PM
 
FreshAiR and Field Studies—Augmenting Geological Reality with Mobile Devices
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