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Tuesday, January 15 • 4:00pm - 5:30pm
Increasing the use and value of Earth science data and information through standards

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Session Abstract:
This session presents the latest results from the OGC innovation program Testbed-14, which addressed several topics that are directly inline with this year's ESIP theme of "increasing the use and value of Earth science data and information". The OGC innovation program is the experimentation lab of OGC, where new technologies are explored that enhance earth observation research and science. Testbed-14 addressed among others topics new standardized approaches to access and exploit satellite swath data (level 1 and 2); explored enhanced, resource-oriented, discovery and access mechanisms for geospatial data and information that reduces the burden on clients, as data can be browsed in addition to being queried; developed an architecture to execute any type of application physically close to Big data; explored quoting and billing mechanisms for geospatial products; developed an architecture to integrate machine learning and artificial intelligence into earth science workflows.
Complementing the discussion on satellite data, the session will address considerations and best practices for organizing data and metadata in HDF5 files when serving earth science data products in Amazon S3 via OPeNDAP. The two talks will be devoted to the best practices for organizing data and user-defined metadata including CF conventions in HDF, interoperability with netCDF-4 and its role in accessing data in HDF5, OPeNDAP considerations for S3 access to HDF5 data.

  • Ingo Simonis, Luis Bermudez: OGC Innovation Program Testbed-14 Results for Earth Science Community
  • Elena Pourmal, James Gallagher: OPeNDAP and HDF5 in the Cloud: Techniques and best practices for serving HDF5 data 
  • Aleksandar Jelenak, Peter J. T. Leonard, Charlie Zender: NASA Dataset Interoperability Recommendations for Earth Science.
Session Takeaways (post-meeting):
1) OGC innovation program Testbed-14’s has completed a series of activities to standardize handling of earth observations, to promote the marketplace for EO applications across clouds, and integrate machine learning/AI into OGC web services; Testbed-15 call for participation is out now (bit.ly/Testbed-15).
2) It is important to produce earth science datasets in HDF5 with the optimized setting and version to ensure the interoperability with netCDF4.
3) NASA Data Interoperability Working Group has generated practical recommendations for increasing the usability of earth science datasets.

avatar for Luis Bermudez

Luis Bermudez

Executive Director | Innovation Program, OGC
Making this world a better world, leadership, sharing and finding data, web interfaces, validation, Semantic Web, Testbed 13, OGC innovation, OGC standards.

James Gallagher

Contractor, OPeNDAP
avatar for Ingo Simonis

Ingo Simonis

Director Innovation Programs & Science, OGC
Dr. Ingo Simonis is director of interoperability programs and science at the Open Geospatial Consortium (OGC), an international consortium of more than 525 companies, government agencies, research organizations, and universities participating in a consensus process to develop publicly... Read More →

Tuesday January 15, 2019 4:00pm - 5:30pm EST
Salon A-C
  Salon A-C, Breakout Session
  • Area Standards, OGC, Big Data, Cloud, Machine Learning
  • Remote Participation Link: https://global.gotomeeting.com/join/144286725
  • Remote Participation Phone #: United States: +1 (571) 317-3117 Access Code: 144-286-725 Australia: +61 2 9091 7603 Austria: +43 7 2081 5337 Belgium: +32 28 93 7002 Canada: +1 (647) 497-9373 Denmark: +45 32 72 03 69 Finland: +358 923 17 0556 France: +33 170 950 590 Germany: +49 692 5736 7300 Ireland: +353 15 360 756 Italy: +39 0 230 57 81 80 Netherlands: +31 202 251 001 New Zealand: +64 9 913 2226 Norway: +47 21 93 37 37 Spain: +34 932 75 1230 Sweden: +46 853 527 818 Switzerland: +41 225 4599 60 United Kingdom: +44 330 221 0097
  • Remote Participation Access Code 144-286-725
  • Session Presentations: https://doi.org/10.6084/m9.figshare.7591004, https://doi.org/10.6084/m9.figshare.7590998
  • Session Recording: https://esip.sharefile.com/d-s7c3e8c88dd44988b