IN22A:
Using Open Source Software to Enable Scientific Analysis and Reuse of Data II

Session ID#: 5102

Tuesday, 16 December 2014: 10:20 AM-12:20 PM
2020 (Moscone West)
Chairs:  Jens F Klump, CSIRO, Mineral Resources, Perth, Australia, Edzer J Pebesma, University of Münster, Münster, Germany and Robert R Downs, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States
Primary Convener:  Chris A Mattmann, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Co-conveners:  Robert R Downs, Columbia University of New York, Center for International Earth Science Information Network (CIESIN), Palisades, United States and Jens F Klump, CSIRO, Mineral Resources, Perth, Australia
OSPA Liaison:  Robert R Downs, Center for International Earth Science Information Network, Palisades, NY, United States
Co-Sponsor(s):
  • DI - Study of the Earth's Deep Interior
Index Terms:

1904 Community standards [INFORMATICS]
1908 Cyberinfrastructure [INFORMATICS]
1976 Software tools and services [INFORMATICS]
1978 Software re-use [INFORMATICS]
Virtual Option?: No
Swirl Theme: Computational Methods across Scales: Personal to High Performance Platforms

Abstracts Submitted to this Session:

IN22A-01
Analyzing Geoscientific Data with R: Past, Present, Future (4904)
Edzer J Pebesma, University of Muenster, Institute for Geoinformatics, Muenster, Germany
IN22A-02
Land Use Change Modelling in R (30640)
Simon Moulds, Imperial College London, Civil and Environmental Engineering and Grantham Institute for Climate Change, London, United Kingdom and Wouter Buytaert, Imperial College London, Civil and Environmental Engineering & Grantham Institute - Climate Change and the Environment, London, SW7, United Kingdom
IN22A-03
Analysis of Giga-size Earth Observation Data in Open Source GRASS GIS 7 - from Desktop to On-line Solutions. (Invited) (14677)
Helena Mitasova, North Carolina State University, Center for Geospatial Analytics, Raleigh, United States, Tomasz F. Stepinski, University of Cincinnati Main Campus, Space Informatics Lab - SIL, Cincinnati, OH, United States, Jaroslaw Jasiewicz, Adam Mickiewicz University, Geoecology and Geoinformation Institute, Poznań, Poland, Markus Neteler, Fondazione Edmund Mach and Innovation Center, San Michele all'Adige, Italy, Soeren Gebbert, Thuenen Institute of Climate-Smart Agriculture, Braunschweig, Germany and GRASS GIS Development Team
IN22A-04
On the Use of FOSS4G in Land Cover Fraction Estimation with Unmixing Algorithms (17946)
Uttam Kumar1, Cristina Milesi2, Kumar S. Raja3, Sangram Ganguly4, Weile Wang5, Gong Zhang4 and Ramakrishna R Nemani4, (1)NASA Ames Research Center-Oak Ridge Associated Universities, ARC:TN, Moffett Field, CA, United States, (2)NASA-CSUMB, Sunnyvale, CA, United States, (3)EADS Innovation Works, Airbus Engineering Centre India, Bangalore, India, (4)NASA Ames Research Center, Moffett Field, CA, United States, (5)CSUMB & NASA/AMES, Seaside, CA, United States
IN22A-05
Semantically aided interpretation and querying of Jefferson Project data using the SemantEco framework (28286)
Evan W Patton, Paulo Pinheiro and Deborah L McGuinness, Rensselaer Polytechnic Institute, Troy, NY, United States
IN22A-06
Apache Open Climate Workbench: Building Open Source Climate Science Tools and Community at the Apache Software Foundation (26092)
Michael Joyce1, Paul Ramirez2, Maziyar Boustani1, Chris A Mattmann1, Shakeh Khudikyan2, Lewis John McGibbney1, Kim D Whitehall3 and JPL RCMES Team, (1)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
IN22A-07
SimPEG: An open-source framework for geophysical simulations and inverse problems (27287)
Rowan Cockett1, Seogi Kang2 and Lindsey Justine Heagy1, (1)University of British Columbia, Vancouver, BC, Canada, (2)Stanford University, Department of Geophysics, Stanford, CA, United States
IN22A-08
Improving Running Times for the Determination of Fractional Snow-Covered Area from Landsat TM/ETM+ via Utilization of the CUDA® Programming Paradigm (Invited) (31507)
Lewis John McGibbney1, Karl Rittger2, Thomas H Painter3, David Selkowitz4, Chris A Mattmann3 and Paul Ramirez5, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States, (3)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (4)U.S. Geological Survey Wyoming-Montana Water Science Center, Helena, United States, (5)Jet Propulsion Laboratory, Pasadena, CA, United States
See more of: Earth and Space Science Informatics