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OGC invites you to its Earth Observation Applications-to-the-Data Architecture Presentation Webinar

Contact: 

info [at] ogc.org

Release Date: 
3 August 2020

Webinar will present experiences and lessons learned on how to best exploit Big EO data stores and how to enable externally developed applications as additional services.

Banner for OGC Earth Observation Applications-to-the-Data architecture presentation webinar

The Open Geospatial Consortium (OGC) invites Earth Observation (EO) application developers and EO data platform operators to a free Earth Observation Applications-to-the-Data architecture presentation webinar on September 8, 2020.

The webinar will consist of 6 speakers presenting their experiences in implementing the (EO) Applications-to-the-Data draft specifications that have been developed over the last few years as part of various OGC Innovation Program (IP) initiatives, including the most recent Earth Observations Applications Pilot. The presentations will be followed by a Q&A session.

With the volume of EO data now growing at a rate measured in the order of petabytes, transporting or transferring the data from the data provider(s) out to the end user is no longer feasible.  As such, OGC has been working with the European Space Agency (ESA) to further ESA’s “EO Exploitation Platforms” initiative. This initiative aims at achieving a paradigm shift from “bring the data to the user” (users download data to a local machine or data store) to “bring the user to the data” (move user exploitation to hosted environments with co-located computing and storage). 

This webinar aims to present to EO application developers and EO platform operators the work that has been undertaken by OGC, ESA, and Natural Resources Canada. Implementers will share experiences and lessons learned on how to best exploit Big EO data stores and how to enable externally developed applications as additional services on EO platforms.

Together, the components of the architecture enable a marketplace – a sort of ‘app store’ for EO Big Data processing – where:

  • Application developers can develop multi-platform data processing applications in their local environment and sell/publish them on an app store.
  • Application consumers can discover available applications (and even chain them together), enabling them to access and process more data, more easily, using simple, consistent, reproducible and shareable workflows.

This marketplace would not just benefit app developers and consumers: it would additionally benefit cloud infrastructure providers, as they can sell access to the processing and storage resources required, and data providers, as they can sell piecemeal access to their data for processing.

For more information on the EO Exploitation Platforms, read the article written by Ingo Simonis for Geoconnexions Magazine: “An app store for Big Data,” or visit the Earth Observations Applications Pilot webpage.

Registration for the Earth Observation Applications-to-the-Data architecture presentation webinar is FREE and available here. The webinar will run for 2 hours on September 8, 2020, at 10:00 US Eastern/16:00 CEST/14:00 UTC.


About OGC
The Open Geospatial Consortium (OGC) is an international consortium of more than 500 businesses, government agencies, research organizations, and universities driven to make geospatial (location) information and services FAIR - Findable, Accessible, Interoperable, and Reusable.
OGC’s member-driven consensus process creates royalty free, publicly available geospatial standards. Existing at the cutting edge, OGC actively analyzes and anticipates emerging tech trends, and runs an agile, collaborative Research and Development (R&D) lab that builds and tests innovative prototype solutions to members' use cases.
OGC members together form a global forum of experts and communities that use location to connect people with technology and improve decision-making at all levels. OGC is committed to creating a sustainable future for us, our children, and future generations.
Visit ogc.org for more info on our work.