Federated and reusable processing of Earth observation data

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.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2025-02-01
DOI
https://doi.org/10.1038/s41597-025-04513-y
Citations
8
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
33.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Federated and reusable processing of Earth observation data

Daniel Thiex, Alexander Jacob, Patrick Griffiths, Bram G. Janssen et al.
8 citations
Scientific Data
Scientific Computing and Data Management
33.35
article

Federated and reusable processing of Earth observation data

Daniel Thiex, Alexander Jacob, Patrick Griffiths, Bram G. Janssen, Stefaan Lippens, Matthias Mohr, Jeroen Dries, Edzer Pebesma, Christian Briese, Paulo Víctor Prazeres Sacramento, Grega Milčinski, Benjamin Schumacher, Michele Claus
article en
8 citations

Abstract

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.

Scientific DataVol. 12(1)
Eurac Research (IT), University of Münster (DE), European Space Research Institute (IT), FH Münster University of Applied Sciences (DE), Flemish Institute for Technological Research (BE)
European Space Agency
Openalex Percentile: Top 1%
Scientific Computing and Data Management
33.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.