IN53E:
Spatial Data Infrastructure for Earth and Space Sciences: Analyzing, Visualizing, and Sharing Multidimensional Earth Science Data II

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Session ID#: 16965

Session Description:
Governments and businesses use geospatial data to manage organizational infrastructure, quantify hazard risk, and plan future development. The volume, variety, and complexity of multidimensional scientific data pose challenges with how it is shared with a diverse community, visualized intuitively, or fused for answering scientific questions. Spatial data infrastructure for Earth and Space Sciences is built atop frameworks that support satellite images, airborne data, climate and weather observations, simulations, and forecasts. Such frameworks allow us to manage data, publish metadata, generate science products, and develop tools that support the needs of an end user. This session seeks papers describing operational systems and workflows for deploying multidimensional scientific data for reuse by the broader Earth science community. Topics of interest include: operational systems and best practices for creating and managing geospatial data services, spatial data infrastructure frameworks for processing, analyzing, or visualizing temporal, 3D, 4D Earth science data, and sharing geospatial data.
Primary Convener:  Sudhir R Shrestha, ESRI, Redlands, CA, United States
Conveners:  Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, United States and Manil Maskey, NASA, Office of Data Science and Informatics (ODSI), Huntsville, United States
Chairs:  Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, United States and Sudhir R Shrestha, ESRI, Redlands, CA, United States
OSPA Liaison:  Sudhir R Shrestha, ESRI, Redlands, CA, United States
Index Terms:

1910 Data assimilation, integration and fusion [INFORMATICS]
1926 Geospatial [INFORMATICS]
1996 Web Services [INFORMATICS]
3360 Remote sensing [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

NASA’s Global Imagery Browse Services: Past, Present and Future (Invited) (118396)
Katie Baynes, NASA Headquarters, Earth Science Data Systems, Washington, DC, United States, Ryan A Boller, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Joe T Roberts, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, Matthew F Cechini, Science Systems and Applications, Inc., Lanham, MD, United States, Christian Alarcon, NASA Jet Propulsion Laboratory, Pasadena, CA, United States and Daniel Pilone, Element 84, Inc., Alexandria, VA, United States
52 Million Points and Counting: A New Stratification Approach for Mapping Global Marine Ecosystems (Invited) (118382)
Dawn J Wright1, Roger G Sayre2, Sean Breyer3, Kevin A. Butler1, Keith VanGraafeiland1, Kathy Goodin4, Maria Kavanaugh5, Mark J. Costello6, Noel Cressie7, Zeenatul Basher8, Peter T Harris9 and John M Guinotte10, (1)Environmental Systems Research Institute, Redlands, CA, United States, (2)U.S Geological Survey, Land Change Science Program, Reston, United States, (3)Environmental Systems Research Institute, Redlands, United States, (4)NatureServe, Science Division, Marine Program, Arlington, VA, United States, (5)Woods Hole Oceanographic Institution, Woods Hole, MA, United States, (6)University of Auckland, Institute of Marine Science, Auckland, New Zealand, (7)University of Wollongong, National Institute for Applied Statistics Research Australia, Wollongong, Australia, (8)U.S Geological Survey, Washington, DC, United States, (9)GRID-Arendal, Arendal, Norway, (10)U.S. Fish and Wildlife Service, Ecological Services, Mountain Prairie Region 6, Lakewood, United States
UUI: Reusable Spatial Data Services in Unified User Interface at NASA GES DISC (129202)
Maksym Petrenko, NASA Goddard Space Flight Center, Greenbelt, United States, Mahabal Hegde, NASA GES DISC, Greenbelt, United States, Keith Bryant, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Long Pham, NASA Goddard Space Flight Center, GES DISC, Greenbelt, United States
Agile Datacube Analytics (not just) for the Earth Sciences (156832)
Peter Baumann, Jacobs University Bremen, Bremen, Germany
Weathering the Storm: Developing a Spatial Data Infrastructure and Online Research Platform for Oil Spill Preparedness (159583)
Jennifer R Bauer1, Kelly Rose2, Lucy Romeo3,4, Aaron Barkhurst5,6, Jake Nelson7,8, Rodrigo Duran-Sesin4,8 and Jason Vielma7,8, (1)National Energy Technology Laboratory, Albany, OR, United States, (2)National Energy Technology Laboratory, Albany, United States, (3)Battelle, National Energy Technology Lab, Albany, OR, United States, (4)AECOM California, Los Angeles, CA, United States, (5)National Energy Technology Lab, Morgantown, WV, United States, (6)MATRIC, Morgantown, WV, United States, (7)Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States, (8)National Energy Technology Lab, Albany, OR, United States
How NASA’s Atmospheric Science Data Center (ASDC) is operationally using the Esri ArcGIS Platform to improve data discoverability, accessibility and interoperability to meet the diversifying government, private, public and academic communities’ driven requirements. (176805)
Matthew Tisdale, NASA Langley Research Center, Hampton, VA, United States
Field Campaign Explorer: Simultaneous Data Exploration, Discovery, and Visualization (197676)
Amanda Markert, University of Alabama in Huntsville, Earth System Science Center, Huntsville, AL, United States, Ajinkya Kulkarni, University of Alabama in Huntsville, Huntsville, AL, United States, Manil Maskey, NASA, Office of Data Science and Informatics (ODSI), Huntsville, United States, Helen Conover, Univ of Alabama Huntsville, Huntsville, AL, United States and Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, United States
Dynamic analysis, transformation, dissemination and applications of scientific multidimensional data in ArcGIS Platform (182146)
Sudhir R Shrestha, ESRI, Redlands, CA, United States, Thomas W Collow, INNOVIM, LLC | NOAA/NWS/NCEP Climate Prediction Center, College Park, MD, United States and Brett Rose, ESRI, Vienna, VA, United States

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