Description du projet
Construire la prochaine génération du service Copernicus de surveillance des terres
L’imagerie satellitaire permet de surveiller mieux que jamais les changements à la surface de la Terre. Le projet EVOLAND, financé par l’UE, ira plus loin en développant de nouvelles méthodes, de nouveaux algorithmes et des prototypes candidats du service Copernicus de surveillance des terres (CLMS) pour suivre les changements de l’utilisation et de la couverture des terres avec une qualité et une rapidité améliorées. S’appuyant sur la fusion de données, l’apprentissage automatique, la surveillance continue et la cartographie de la biomasse, les chercheurs évalueront 11 produits candidats de nouvelle génération. EVOLAND analysera les exigences en matière de politique, de données et d’infrastructure pour les services candidats, et mènera des projets pilotes dans des régions plus vastes, en se concentrant sur l’agriculture, les forêts, l’eau, les zones urbaines et l’occupation générale du sol. Son objectif consiste à fournir des preuves tangibles et recommander la meilleure façon de poursuivre le développement du CLMS.
Objectif
The Horizon Europe EvoLand (Evolution of the Copernicus Land Service portfolio) proposal aims at developing innovative methods, algorithms and candidate Copernicus Land Monitoring Service (CLMS) prototypes monitoring the status and changes of land use/land cover and various land surface characteristics at high spatial and temporal resolution. Specifically, EvoLand will address eleven next-generation CLMS product candidates by integrating innovative approaches in data fusion, Machine Learning, continuous monitoring and biomass mapping, as well as through integration of novel EO and in-situ data. EvoLand will analyse policy, data and infrastructure requirements for the prototype services by interacting with the relevant Entrusted Entities as well as the main Copernicus Land stakeholders and users. These requirements will steer all methodological developments. Algorithms will be developed, tested and implemented in an efficient, modular and scalable way on open-source infrastructure on various representative test sites, located both within and outside Europe. In a subsequent demonstration phase, the candidate services will be prototypically implemented over larger regions, focusing on key thematic domains such as agriculture, forest, water, urban and general land cover. Finally, all candidate services will be regularly analysed in view of their innovation and policy support potential, technical excellence, and operational readiness, and a strategy to transferring these services to operations will be proposed. The ambition of EvoLand is thus to support the Entrusted Entities by dedicated research, providing tangible proof of the evolution potential of the CLMS in terms of improved information content, quality and timeliness, and enable well-informed and facts-based decision-making on the future of the CLMS.
Champ scientifique
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencesearth and related environmental sciencessoil sciencesland-based treatment
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencescomputer and information sciencesdata sciencedata processing
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HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinateur
2400 Mol
Belgique