openEO Platform

openEO Platform: Eine föderierte Erdbeobachtungsplattform

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openEO Platform
  • Project duration: September 2020 - August 2022
  • Project status: ongoing
  • Funding:
    Public institutions (Other projects /Project)
  • Website:

The openEO Platform project funded by the European Space Agency (ESA) builds upon the EO cloud processing platforms managed by VITO, Sinergise, EODC and Eurac, and the platform management as well as software development experience of these partners. The project has the ambitious goal to create a federated open infrastructure for processing of earth observation data not dissimilar to the scope of the Google Earth engine but in an open source environment. The openEO API’s original goal of mitigating the current heterogeneity in interfaces of cloud-based EO processing back-ends matches the ESA requirement of realizing a federated infrastructure and the current situation that no single processing back-end serves (or will any time soon serve) all datasets of interest. openEO Platform will serve different user groups by providing clients and interfaces tailored to their needs: remote sensing researchers can make use of a front-end where JupyterLab is being proposed as its main data science front-end. R users can make use of the openEO R client and develop workflows in RStudio using R-Markdown. Users accustomed to building workflows interactively can use the openEO web client for graphically creating workflows, exploring results, and managing jobs. Software developers can work in their own programming IDE to integrate services into larger or dedicated applications. All interfaces share the openEO client-side libraries to minimize complexity. These libraries are already available for Python, R and JavaScript, and significantly reduce the learning curve for using these services. For well-known services such as viewing, OGC services are exposed to ensure interoperability with other, existing tools. The successful open development model adopted by openEO will be continued while developing openEO Platform, in order to make it an inclusive community project.

Eurac Research is responsible for the organization of the implementation of the pilot use cases building on the existing experience of earth observation and their strong involvement in the original H2020 project. Eurac will implement three of the nine use cases covering 1) the pre-processing of EO data to Analysis Ready data, 2) converting their existing processing chain for change detection into an openEO workflow and apply it to larger areas and 3) finally developing a new state of the art forest canopy mapping workflow built on the integration of very high resolution commercial satellite data and freely available Copernicus data.

Contact person: Alexander Jacob

Projekt gefördert durch

The openEO API–Harmonising the Use of Earth Observation Cloud Services Using Virtual Data Cube Functionalities
Schramm M, Pebesma E, Milenkovic M, Foresta L, Dries J, Jacob A, Wagner W, Mohr M, Neteler M, Kadunc M, Miksa T, Kempeneers P, Verbesselt J, Gößwein B, Navacchi C, Lippens S, Reiche J (2021)
Remote Sensing

Weitere Informationen:

Jacob A, Mohr M, Zellner PJ, Dries J, Claus M, Briese C, Griffitjs P, Pebesma E (2021)
Beitrag in Konferenzband

Conference: Big Date from Space | Virtual Event | 18.5.2021 - 20.5.2021

Weitere Informationen: ...

Open Data Cube and openEO
Jacob A, Claus M (2021)

Conference: Open Data Cube Conference 2021 | online | 22.6.2021 - 25.6.2021

Analyzing large-scale earth observation imagery with openEO platform
Jacob A, Pebesma E, Zellner PJ, Claus M, Mohr M (2021)

Conference: 12th Internatioal Symposium on Digital Earth | Salzburg, Austria / Online | 5.7.2021 - 8.7.2021

Weitere Informationen:

Alpine Data Cubes in the Environmental Data Platform
Jacob A, Monsorno R, Vianello A, Costa A, Rossi M, Claus M, Crespi A, Zebisch M (2021)

Conference: Intergeo 2021 | Hannover | 21.9.2021 - 23.9.2021

Weitere Informationen:

GRSS Tutorial: openEO and SAR2CUBE - Bringing SAR processing into the world of cloud computing.
Jacob A, Claus M, Centolanza G (2021)

Conference: Asian Conference on Remote Sensing (ACRS2021) | Can Tho | 22.11.2021 - 24.11.2021

Weitere Informationen:

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