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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 • 2:00pm - 3:30pm
STAC and Cloud-Optimized Data

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This session will showcase recent efforts in improving geospatial discovery and access through the use of open source software and open data.

STAC and Sentinel-2 Cloud-Optimized GeoTIFFs
Matthew Hanson, Element 84
SpatioTemporal Asset Catalogs (STAC) is an emerging community standard that aims to improve geospatial interoperability via standardized search and discovery. A brief overview of STAC will be provided along with how STAC can be used to enable powerful scalable workflows that keep track of data provenance. Additionally, Element 84 worked on creating a new AWS Public Dataset for Sentinel-2 surface reflectance data available in Cloud-Optimized GeoTIFF format. Attendees will be shown how to use open-source tools to discover Sentinel-2 data for any location and date range and how chunks of data data can be efficiently read and fetched for the resulting scenes.

Publicly Accessible COGs for Web Data Exploration
Rachel Wegener, Development Seed

COGs can be a strong enabler for data access. We will talk about making COGs available via a standard network interface such as AWS S3 and also via the AWS Public Datasets Program. These COGs work smoothly with popular tools for visualizing and interpreting the data remotely. To make data ready for users, or analysis-ready, we worked with the NASA science teams to select variables of interest from the source products. Science team support was critical in understanding other characteristics of the product, such as what level of documentation should be included and the significance and interpretation of having multiple orbits. One immediate application of converting our data to COGs is the important part the data plays in supporting the success of web-based data interaction in the COVID-19 dashboard.

Leveraging COGs to Enable New Methods in Web Mapping
Kyle Barron, Software Engineer, Unfolded

The future of geospatial data visualization is in the browser. WebGL enables fast client-side satellite imagery processing. But users are far from the source data, and direct access to large collections of Cloud Optimized GeoTIFFs (e.g. Landsat 8 on AWS) would incur unacceptable latency. With COGs, it's possible to quickly combine a mosaic of imagery on demand into tiles ready for consumption in the browser. I'll provide an overview of my recent open-source work to enable fast dynamic image tiling, and show examples of its potential in the browser.

Pangeo + Intake-STAC:  A vision for facilitating scientific computing with satellite observations
Scott Henderson, eScience Institute, University of Washington

This presentation will focus on efforts funded by a NASA ACCESS 2017 grant to transition the Earth Science community into Cloud computing by developing technologies that build on top of the growing Pangeo ecosystem. In particular, the combination of open-source Cloud applications (JupyterHub on Kubernetes) and Python software libraries (Xarray, Dask, Rasterio, Intake, Holoviz), enable novel but familiar workflows that circumvent the bottleneck of downloading large amounts of data. These tools work best with emerging Cloud-native storage solutions for satellite imagery - one example being Cloud Optimized Geotiffs (COGs) with accompanying SpatioTemporal Asset Catalogs (STAC). In this presentation, we will give an update on the Pangeo project and showcase a few example workflows using large public archives of optical and radar satellite data.

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  • We should all move towards using cloud optimized geotiffs for more applications


Scott Henderson

University of Washington
avatar for Rich Signell

Rich Signell

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

Matthew Hanson

Sr Software Engineer, Element 84
Geospatial data interoperability and discovery

Kyle Barron

Software Engineer, Unfolded, Inc.
avatar for Rachel Wegener

Rachel Wegener

Development Seed

Tuesday July 14, 2020 2:00pm - 3:30pm
Room 2

Attendees (108)