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For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth observation data, thus forming a community dedicated to making Earth observations more discoverable, accessible and useful to researchers, practitioners, policy makers, and the public. The theme of the meeting is Putting Data to Work: Building Public-Private Partnerships to Increase Resilience & Enhance the Socioeconomic Value of Data.

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Tuesday, July 14 • 4:00pm - 5:30pm
Cloud-Optimized Data

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This session will seek to summarize our current understanding of best practices for creating, using and cataloging cloud-optimized data. Speakers are sought to address any part of this research space, including metadata handling, chunking, compression, filtering, sparse datasets, tooling, libraries, workflows, and cloud experiences with formats like Cloud-Optimized GeoTIFF (COG), Parquet, Zarr, TileDB, NetCDF4 and HDF5.

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View Presentations: See attached

avatar for Patrick Quinn

Patrick Quinn

Software Engineer, NASA / EED-2 Element 84
avatar for Ryan Abernathey

Ryan Abernathey

Associate Professor, Columbia University
Ryan Abernathey is a physical oceanographer and assistant professor of Earth and Environmental Sciences.
avatar for Rich Signell

Rich Signell

Oceanographer, USGS
Ocean Modeling, Python, NetCDF, THREDDS, ERDDAP, UGRID, SGRID, CF-Conventions, Jupyter, JupyterHub, CSW, TerriaJS
avatar for Dave Neufeld

Dave Neufeld

I'm a Product Owner for a team of engineers developing scientific software at NOAA's National Centers for Environmental Information. We build applications focused on ingesting satellite and ship borne observational data sets, as well as tools to discover and access the data. Please... Read More →
avatar for Pete Killick

Pete Killick

Researcher, UK Met Office Informatics Lab
My main area of work is developing cloud infrastructures to enable intuitive processing of big data, primarily weather and climate data. I am also interested in how we can leverage new and emerging computer hardware for big data processing.

Trevor Skaggs

Element 84

Tuesday July 14, 2020 4:00pm - 5:30pm
Room 5

Attendees (136)