[ESIP-all] [AGU Session 2016] Call for AGU 2016 Abstracts : Spatial Data Infrastructure for Earth and Space Sciences: Analyzing, Visualizing, and Sharing Multidimensional Earth Science Data

Sudhir Shrestha SShrestha at esri.com
Sun Jul 31 21:52:25 EDT 2016


Dear Colleagues,
Only 3 days left to submit your AGU abstract (3 August, 2016). Please consider submitting your abstract in our session at the 2016 Fall American Geophysical Union meeting on December 12-16, 2016 in San Francisco, California.
" IN040: Spatial Data Infrastructure for Earth and Space Sciences: Analyzing, Visualizing, and Sharing Multidimensional Earth Science Data"
Please submit your abstract here: (Deadline: 3 August,2016)
https://urldefense.proofpoint.com/v2/url?u=https-3A__agu.confex.com_agu_fm16_preliminaryview.cgi_Session13527&d=CwIFAg&c=n6-cguzQvX_tUIrZOS_4Og&r=z_UkiNdaPPnn6f_5YCcwk8pcqAmUKyJq-jppGhCSDi8&m=5mVtggv1b98OHk15cInDw8gO79-UheFe8VdCxD4K8-c&s=5zrCsTS4MtemothmQzeGkBF4wlBbpuBoY3hwlVw0cRc&e= 

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.
Regards,
Sudhir R Shrestha, ESRI, Redlands, CA, United States

Rahul Ramachandran, NASA Marshall Space Flight Center, Huntsville, AL, United States,
Manil Maskey, University of Alabama in Huntsville, Huntsville, AL, United States and Feroz
Abdul Kadar, ESRI, Redlands, CA, United States
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