Descrizione del progetto
Le più avanzate tecnologie dell’intelligenza artificiale possono favorire il mercato dell’osservazione della Terra?
Le tecnologie dell’osservazione della Terra (EO) stanno acquistando nuovo valore grazie al progetto SnapEarth, finanziato dall’UE. Il progetto consentirà al mercato di passare dall’analisi dei megadati EO all’analisi dei dati in movimento, i Fast Data. Il progetto mira a usare i dati in maniera efficace per prendere decisioni importanti e anticipare le priorità del futuro, influenzando l’intelligenza artificiale, le tecnologie e gli strumenti cloud. La svolta principale consiste nella EarthSignature, un nuovo servizio di analisi dei dati che punta a estrarre automaticamente informazioni semantiche dalle immagini satellitari. Le informazioni estratte sono poi indicizzate tramite un motore di ricerca Qwant, con il database che viene alimentato in tempo reale e reso facilmente accessibile da una vasta gamma di comunità di utenti.
Obiettivo
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.
Campo scientifico
- 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
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
IA - Innovation actionCoordinatore
57001 Thermi Thessaloniki
Grecia