EVOLUTION OF THE COPERNICUS LAND SERVICE PORTFOLIO INTEGRATING NOVEL EO DATA AND LATEST MACHINE LEARNING ALGORITHMS TO CONTINUOUSLY MONITOR THE STATUS, DYNAMICS AND BIOMASS OF THE LAND SURFACE

Projektinformationen

EVOLAND

ID Finanzhilfevereinbarung: 101082130

DOI

10.3030/101082130

EK-Unterschriftsdatum 10 Oktober 2022

Startdatum 1 Januar 2023

Enddatum 31 Dezember 2025

Finanziert unter

• Digital, Industry and Space

Gesamtkosten

€ 4 999 531,26

EU-Beitrag

€ 4 999 531,25

Koordiniert durch

VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK N.V.
Belgium

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

Data Management Plan (1)

Data management plan - interim version

Document describing how to implement the FAIR data principles, as well as data types, licenses and formats used within the project.

Documents, reports (3)

Best practices for running large scale EO processes in the cloud - final version

Report with best practices on algorithm and code design for cloud processing.

Infrastructure requirements report - final version

Report with an inventory of the infrastructure required for operational implementation/ of the next-generation CLMS services, and for the project’s methodological developments and prototypic implementations.

EO missions catalogue relevant for EvoLand - final version

Inventory of available relevant EO data over EvoLand test and prototype sites. D2.1 is complementary to D1.2, but is viewed from the supplier side, while D1.2 covers the demand side.

Websites, patent fillings, videos etc. (1)

Visual identity, project branding and website

Report describing visual elements used in the project as well as the branding materials and website.

Veröffentlichungen

Conference proceedings (1)

DeCUR: decoupling common & unique representations for multimodal self-supervision

Autoren: Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
Veröffentlicht in: 2023
Herausgeber: Computer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionComputer Vision and Pattern RecognitionComputer Vision and P
DOI: 10.48550/arXiv.2309.05300