Descripción del proyecto
Construir la próxima generación del Servicio de Vigilancia Terrestre de Copernicus
Las imágenes por satélite permiten vigilar los cambios de la superficie terrestre mejor que nunca. El equipo del proyecto EVOLAND, financiado con fondos europeos, dará un paso más desarrollando nuevos métodos, algoritmos y prototipos candidatos del Servicio de Vigilancia Terrestre de Copernicus (CLMS, por sus siglas en inglés) para rastrear los cambios en el uso y la ocupación del suelo con mayor calidad y conveniencia. Gracias a la fusión de datos, el aprendizaje automático, la vigilancia continua y el mapeo de la biomasa, los investigadores evaluarán once productos candidatos de próxima generación. El equipo de EVOLAND analizará los requisitos políticos, de datos y de infraestructura de los servicios candidatos y llevará a cabo aplicaciones piloto en regiones más amplias centrándose en la ocupación agrícola, forestal, hidrológica y urbana y en la ocupación general. El objetivo es proporcionar pruebas tangibles y recomendar la mejor manera de seguir desarrollando el CLMS.
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Régimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
2400 Mol
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