Descripción del proyecto
¿Pueden las tecnologías de inteligencia artificial de vanguardia fomentar el mercado de la observación de la Tierra?
Las tecnologías de observación de la Tierra están adquiriendo un nuevo valor gracias al proyecto SnapEarth, financiado con fondos europeos. El proyecto permitirá que el mercado pase de analizar datos masivos de observación de la Tierra a analizar datos en movimiento, los datos rápidos. El objetivo del proyecto es utilizar los datos de manera eficaz para tomar decisiones cruciales y anticipar las prioridades futuras mediante la influencia en la inteligencia artificial y las tecnologías y herramientas de la nube. EarthSignature, que supone el mayor avance, es un nuevo servicio de análisis de datos que tiene como finalidad extraer automáticamente la información semántica de las imágenes de satélite. Después, el motor de búsqueda Qwant indexa la información extraída, lo que nutre la base de datos en tiempo real y hace que una amplia gama de comunidades de usuarios puedan acceder a ella con facilidad.
Objetivo
SnapEarth will unlock new value, derive actionable service ideas on top of EO big data collections, and anticipate future
priorities by leveraging cutting-edge Artificial Intelligence and Cloud technologies and tools. Thanks to an innovative cloud
agnostic product, SafeScale that is already operational on Copernicus RUS project led by CSSI, users and service providers
on top of SnapEarth will benefit, in a transparent way, from processing platforms and data collections provided by any of the
future C-DIAS and any cloud provider. This cloud brokering solution is providing a performant, cost effective environment,
also protecting their investment, for the future third parties which are building their own services. The major breakthrough of
SnapEarth comes with a new data analytics service, EarthSignature, which aims to automatically extract semantic
information from satellite imagery. The extracted semantic information will be indexed by QWANT search engine and then
be easily accessible to a wide range of user communities. EO experts and third parties will be able to train deep learning
processing chains using their database of labelled EO images. The database will be near real time enriched. Therefore,
SnapEarth allows the market move from analysing EO Big Data towards realizing Fast Data. It makes possible to buy basic
imagery analysis as a commodity – much like we buy foundation data today. Several user communities are ready to engage
in this new approach. SnapEarth proposes already several pilots projects. The first one (EarthSearch) will boost QWANT
number of users through access to this wealth of data through natural language. The second one (EarthPress) involves
press users who are very interested having contextual data linked to news. The following ones are linked to several EO
vertical markets: EarthClimate, Agri, and Food. The last one EarthSelf-service is dedicated to professional third parties in the
same model of the DIAS but ensuring independence.
Ámbito científico
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SPACE-2019
Régimen de financiación
IA - Innovation actionCoordinador
57001 Thermi Thessaloniki
Grecia