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UC 28 — DataCubes

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Key Information
Title
Mapping Data Cube Initiatives for addressing environmental challenges in agriculture
Acronym
DataCubes
Coordinator
Julius Kühn Institute (Germany)Research Institute
Duration
24 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Use Case Summit Pitch
Digital Twins & Simulation Platforms
Sectors
Arable cropFruitsVegetables
Data Types
Earth observation dataFarm Management Information Systems (FMIS) dataModels & Macro data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.2 Link databases & computing capacities
  • 3.1.2.7 Multi-layer geospatial data tool with API

3.1.3 Data marketplaces and cooperatives in agriculture

  • 3.1.3.4 Discoverability & composability of services

3.1.4 Applications of AI techniques

  • 3.1.4.1 Identify key reference/training data sets
  • 3.1.4.7 Strengthen AI uptake; trust in AI

3.2.1 Enhancing functionality of and generating input for DSS including FMIS

  • 3.2.1.1 Data layers & algorithms for FMIS services
  • 3.2.1.3 New satellite imagery & ground sensors for DSS
  • 3.2.1.5 Interoperability & switchability for FMIS
Themes
Earth observation & remote sensing
Partners (1)
  • Julius Kühn InstituteP1
    Coordinator

    GermanyResearch Institute

#OrganisationCountryType
P1Julius Kühn InstituteCoordinatorGermanyResearch Institute

Anto.Raja.Dominic@julius-kuehn.de, Burkhard.Golla@julius-kuehn.de Introduction This Use Case explores how Earth Observation (EO) Data Cubes support sustainable agriculture and policy implementation across Europe. While initiatives like Copernicus produce vast EO datasets, many end-users (farmers, advisors, public authorities, SMEs, FMIS providers) face technical and financial barriers in accessing raw data and instead expect Analysis-Ready Data (ARD). The UC aims to map existing Data Cube initiatives and assess their potential for agri- environmental monitoring and data-driven decision-making. Methodologies • Literature Review of academic and technical sources on Data Cube frameworks • Stakeholder Interviews with farmers, advisors, agencies, and policymakers • Mapping of Initiatives such as Euro Data Cube, DCS4COP, Rasdaman Federation, EarthServer, and DIAS platforms (Sentinel Hub, CODE-DE) • Evaluation of Data Cube capacity for crop monitoring, yield estimation, resource efficiency, and ecosystem tracking Output • Mapping Report on EO Data Cube Initiatives • Stakeholder Needs & Barrier Assessment • Best Practices and Recommendations for Data Cube Adoption in Agriculture Impact • Lowering technical and financial barriers for agricultural end-users to access EO data • Supporting EU-wide agri-environmental monitoring (e.g. biodiversity, yield monitoring) • Informing policy-making with data-driven evidence What we can offer • Expertise in EO Data Cube analysis for climate adaptation/mitigation in agriculture • Access to and characterisation of major European Data Cube initiatives via OGC standards • A structured mapping methodology combining literature, stakeholder input, and technical assessment What we need • Stakeholder access: contacts among farmers, advisors, agencies, SMEs, and policymakers across Europe for interviews and validation • Technical exchange with Data Cube providers and platform operators • Collaboration with other UCs working on FMIS, decision support systems, and environmental data

Source: Annual AgData Use Case Summit 2026 booklet.

Statistics Registers data
Public administration data
  • 3.2.1.7 Increase profit of DSS/FMIS use

    • 3.2.4 Data-based solutions for addressing environmental challenges

    • 3.2.4.2 Prescription maps for precision cropping
    • 3.2.4.4 Areas for biodiversity & pollinator conservation

    3.3 Data-based solutions for policy-making

    • 3.3.1 Identify data needs for policy monitoring

    4.2 Data governance, standards and security (R&I activities)

    • 4.2.4.4 Legal interpretation services

    4.3 Uptake & innovation management (R&I activities)

    • 4.3.1.2 Communicate value to end-users
    • 4.3.1.11 Promote open science