Earth Observation & Weather Data Federation with AI Embeddings

Projektinformationen

Embed2Scale

ID Finanzhilfevereinbarung: 101131841

DOI

10.3030/101131841

EK-Unterschriftsdatum 11 Dezember 2023

Startdatum 1 Januar 2024

Enddatum 31 Dezember 2026

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 2 618 047,50

EU-Beitrag

€ 2 618 047,50

Koordiniert durch

MARTEL INNOVATE BV
Netherlands

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Documents, reports (10)

Use Case Implementation Report

This deliverable will describe the implementation features of the Use Cases of the first development phase, also considering the requirements.

Dissemination, Communication Report and Exploitation Mid-Term Report

This deliverable presents the intermediate version of the report on Embed2Scale’s communication and dissemination activities carried out during the first half of the project together with the exploitation objectives and plan. It will be led by Tasks 5.1 and 5.2 with inputs from Task 5.3

Analysis of ARD data and APIs

Report on current state of the ARD and associated data processing APIs

Data access for AI-compressors

Documentation, complete source code and configuration files. Pull Requests on OpenEO and OpenDataCube git repositories.

Reference Code for AI-compressors

Python code as sample reference of the AI-compressor methodologies for Earth observation

Dissemination and Communication Strategy and Plan

This deliverable provides the dissemination and communication foundation, including the strategic guidance to direct Embed2Scale community building activities for broad and durable impact. It will be led by Task 5.1.

SSL4EO-S12-downstream benchmark dataset

Provides an open-source benchmark dataset to assess AI-compressor methodologies

AI-compressor containerization CICD pipeline

Documentation, complete source code and configuration files

Standardisation, Exploitation and Sustainability Strategy and Plan

This deliverable presents the exploitation and sustainability strategy and plan reporting on the activities pursued in the first reporting period and indicating the plan for the second part of the project. It will be led by Task 5.3.

Report on State-of-the-Art in AI-compressors

Review on AI-compressors in the light of the Embed2Scale application pillars Embed2{Train,Infer,Transfer,Find}

Other (1)

Benchmarking environment for AI-compressors

Benchmarking environment to evaluate AI-compressor performance available to run an Earth observation community data challenge

Veröffentlichungen

Conference proceedings (2)

Earth Observation Applications through Neural Embedding Compression from Foundation Models

Autoren: Carlos Gomes, Thomas Brunschwiler
Veröffentlicht in: 2024
Herausgeber: Copernicus GmbH
DOI: 10.5194/egusphere-egu24-19460

Geospatial Foundation Models for Efficient Retrieval of Remote Sensing Images

Autoren: Brunschwiler, T., Blumenstiel, B., Moor, V., and Kienzler, R.
Veröffentlicht in: 2024
Herausgeber: EGU General Assembly 2024
DOI: 10.5194/egusphere-egu24-18300

Other (3)

Scalable Efficient Compression in Large-Scale Earth Observation

Autoren: Erik Scheurer, Jiangtao Wang, Rocco Sedona, Stefano Maurogiovanni, Benedikt Blumenstiel, Johannes Jakubik, Paolo Fraccaro, Thomas Brunschwiler, Stefan Kesselheim, Gabriele Cavallaro
Veröffentlicht in: 2025
Herausgeber: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-19016

"Neural Embedding Compression for Earth Observation Data – an Ablation Study"

Autoren: Amelie Koch, Isabelle Wittmann, Carlos Gomez, Rikard Vinge, Michael Marszalek, Conrad Albrecht, Thomas Brunschwiler
Veröffentlicht in: 2025
Herausgeber: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-17172

Earth Observation embeddings at the test: A novel benchmark to evaluate (neural) compression for satellite imagery

Autoren: Rikard Vinge, Michael L Marszalek, Jannik Schneider, Conrad M Albrecht
Veröffentlicht in: 2025
Herausgeber: Copernicus GmbH
DOI: 10.5194/EGUSPHERE-EGU25-16756