Institutes & CentersInstitut für Erdbeobachtung - Advanced Computing - Projects - R4openEO

R4openEO

R4openEO – Integration von R Analytics mit openEO Platformen

This project will develop, test and demonstrate software that integrates the data science language R with the openEO software ecosystem. This involves development of an R client, integration of openEO software components in R integrated development environments (RStudio, Project Jupyter), as well as R user-defined functions that directly operate on data cubes and their interaction with the openEO back-end drivers. Selected use cases will demonstrate the usability of the developed components.

GitHub repository of the project https://github.com/Open-EO/openeo-r-client

Contact: Peter Zellner, peterjames.zellner@eurac.edu

Project duration: September 2021 - September 2022
Project status:
Funding:
Other EU Funding (EU funding / Project)
Website: https://github.com/Open-EO/openeo-r-client
Institute: Institut für Erdbeobachtung

Discover

Verwandte Expertinnen und Experten, Publikationen und Forschungsthemen ansehen.

„R4openEO R4openEO – Integra…“ in Discover suchen

Kontext zu „R4openEO“ erkunden

Scientific Publications

Journal article2025

Federated and reusable processing of Earth observation data

Mohr M, Pebesman E, Dries J, Lippens S, Janssen B, Thiex D, Milcinski G, Schumacher B,

Alexander Jacob, Michele Claus

The unprecedented and continuously growing volume of Earth Observation (EO) and geospatial data has necessitated a paradigm change where compute is collocated with the data archives in public clouds. However, as no single cloud platform can host all of this data, federated processing solutions that work across multiple cloud platforms are becoming increasingly relevant. A community-based approach to federated processing has started using openEO, a common Application Programming Interface (API) and set of well-defined processes that simplifies reuse and provides a valuable level of abstraction when handling large EO data volumes. We present key concepts for federated processing and related interoperability aspects based on openEO Platform, a federated public cloud platform.

DOI Quelle

DOI: 10.1038/s41597-025-04513-y

All Publications

Codeless EO data analysis with openEO, leveraging the cloud resources of openEO platform straight from your web browser
Jacob A, Mohr M (2025)
Vortrag

Conference: ESA Living Planet Symposium | Wien | 22.6.2025 - 27.6.2025

Federated and reusable processing of Earth observation data
Mohr M, Pebesman E, Dries J, Lippens S, Janssen B, Thiex D, Milcinski G, Schumacher B, Briese C, Claus M, Jacob A, Sacramento P, Griffiths P (2025)
Zeitschriftenartikel
Scientific Data

Weitere Informationen: https://www.nature.com/articles/s41597-025-04513-y

https://doi.org/10.1038/s41597-025-04513-y

Detection of Forest disturbances using multi source Remote sensing data
Tufail B, Dorigatti E, Claus M, Jacob A, Zellner PJ (2024)
Vortrag

Conference: EGU24 General Assembly | Vienna | 14.4.2024 - 19.4.2024

Weitere Informationen: https://meetingorganizer.copernicus.org/EGU24/EGU24-1953 ...

Our partners

Westfälische Wilhems-Universität Münster

EFTAS Fernerkundung Technologietransfer GmbH

Project Team

Alexander Jacob

Scientific Advisory Board

Awards

Products

Service	Abgelehnt/Akzeptiert	Terms Link
Youtube		https://support.google.com/youtube/answer/7671399?...
Vimeo		https://vimeo.com/terms
Flourish		https://flourish.studio/terms/
Datawrapper		https://www.datawrapper.de/terms
Power BI		https://www.microsoft.com/en/servicesagreement/
Facebook		https://www.facebook.com/policies/cookies/
Instagram		https://help.instagram.com/1896641480634370?ref=ig
X		https://help.twitter.com/en/rules-and-policies/twi...
Google Maps		https://maps.google.com/help/terms_maps/
LinkedIn		https://www.linkedin.com/legal/cookie-policy

R4openEO