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.
Presentations- 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.
