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Open-Source Capabilities in the Copernicus Data Space Ecosystem: openEO�

OpenGeoHub Summer School 2025

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Wageningen, The Netherlands

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Content

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  • Copernicus Data Space Ecosystem (CDSE)
  • openEO and its key features
  • openEO usecases
  • Getting started with openEO
  • Community and support

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Remote Sensing Data into Insights

The acquired data are processed and analysed to extract different types of information 

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Copernicus Data Space Ecosystem (CDSE)�

  • Immediate access to large amounts of open and free Earth observation data from the Copernicus Sentinel satellites and Copernicus Contributing Mission

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  • This service will be the largest, immediately available data offer, available for download, streaming and on-demand processing with a wide range of cloud options.

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  • It empowers users with the tools and resources.

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Data Access and Processing API: openEO

CDSE components

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All Copernicus Sentinel Data

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openEO �and �its key features

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What is openEO?

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It is an open-source API that provides standardised access to EO data and simplifies the deployment of processing workflows as scalable, cost-efficient services.

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Key features

openEO

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Datacube and Process Graphs

  • Data handled as datacube
  • Workflow is JSON-based representation
  • Lazy evaluation

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Key features

openEO

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Standardized API

  • Supported in Python, R, JavaScript…
  • Independent of underlying technologies

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Key features

openEO

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Backend Agnostic

  • Unified access to different backends
  • Executed on different cloud infrastructure

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https://openeo.cloud

https://openeo.dataspace.copernicus.eu

https://openeo.vito.be

https://openeofed.dataspace.copernicus.eu

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Key features

openEO

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Scalable Execution

  • Enables efficient processing of large-scale data
  • Cloud-native processing
  • Backend handles parallelization

LUISA: 2019 HANPP generated in 25hours in a single openEO job​

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Key features

openEO

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Reproducibility and Reusability

  • Supports FAIR principles
  • Facilitates re-usability of workflows as UDPs
  • APEx and openEO Algorithm Plaza

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Usecases

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Oil spill mapping�

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  • Access to Sentinel dataset

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  • Pre-defined geospatial processes

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  • STAC-complaint output

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https://github.com/Open-EO/openeo-community-examples

Basic usecase

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Copernicus Global Land Cover and Tropical Forest Mapping and Monitoring Service (LCFM)�

  • A dynamic global land cover service at 10 m resolution on-demand service (2020-2026)

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  • A vast amount of data and a processing environment

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  • Reusable service

Advanced usecase

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Annual median composite of Sentinel-1's VV, VH and VH/VV generated using openEO

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ESA WorldCereal

Advanced usecase

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WorldCereal 2021 temporary crop extent map, resampled to ~0.004 ° resolution. Each pixel contains a number between 0 and 100, indicating the fractional cover of temporary crops within that pixel.

Large dataset + Easy access and handling + ML implementation

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On-demand Processes

Advanced usecase

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Getting started with openEO

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Join me

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Thursday 13:30-15:00��Tutorial: Build Advanced EO Workflows with Custom Functions in openEO within the Copernicus Data Space Ecosystem

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openEO workflow

code once, reuse and scale seamlessly

https://processes.openeo.org/

https://open-eo.github.io/openeo-python-client/udf.html

Authenticate

Load collection

Write results

General Process

User-defined functions

Apply Algorithm

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Load Collections

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Apply algorithm

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Save results

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Active user community

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�An open-source, public platform for EO-based solution analysis

  • Standardise API's to avoid lock-in & increase discoverability
  • Supports multiple programming languages (Python, R, JavaScript)
  • Process petabytes of data without managing infrastructure, using cloud-native backends.
  • Convert algorithms into FAIR-compliant geo-intelligence services

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Thank you for your attention

On behalf of the whole consortium

Pratichhya Sharma

pratichhya.sharma@vito.be

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