Evidence map›Paper›PMID 39893161›Full record

ArticleScientific data2025

Federated and reusable processing of Earth observation data.

Matthias Mohr, Edzer Pebesma, Jeroen Dries, Stefaan Lippens, Bram Janssen, Daniel Thiex, Grega Milcinski, Benjamin Schumacher, Christian Briese, Michele Claus and 3 more

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Matthias MohrUniversity of Münster, Institute for Geoinformatics, Münster, Germany. m.mohr@uni-muenster.de.ORCID http://orcid.org/0000-0002-1205-0799
Edzer PebesmaUniversity of Münster, Institute for Geoinformatics, Münster, Germany.ORCID http://orcid.org/0000-0001-8049-7069
Jeroen DriesVITO NV, Mol, Belgium.
Stefaan LippensVITO NV, Mol, Belgium.ORCID http://orcid.org/0000-0002-1444-3764
Bram JanssenVITO NV, Mol, Belgium.
Daniel ThiexSinergise, Ljubljana, Slovenia.ORCID http://orcid.org/0000-0001-5916-2539
Grega MilcinskiSinergise, Ljubljana, Slovenia.
Benjamin SchumacherEODC GmbH, Vienna, Austria.
Christian BrieseEODC GmbH, Vienna, Austria.
Michele ClausEurac Research, Bolzano, Italy.
Alexander JacobEurac Research, Bolzano, Italy.
Paulo SacramentoSolenix Engineering Italia, Frascati, Italy.
Patrick GriffithsEuropean Space Agency, Earth Observation Programmes, ESRIN, Frascati, Italy.ORCID http://orcid.org/0000-0002-8839-9022

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID39893161
PMCPMC11787306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.