Projektbeschreibung
Können hochmoderne Technologien der künstlichen Intelligenz den Markt der Erdbeobachtung fördern?
Erdüberwachungstechnologien werden mit dem EU-finanzierten Projekt SnapEarth neuen Stellenwert erhalten. Das Projekt wird dem Markt den Wandel von der Analyse von Big Data im Bereich Erdüberwachung hin zur Analyse von Daten in Bewegung – Fast Data – ermöglichen. Das Projekt zielt darauf ab, Daten effektiv zu nutzen, um wichtige Entscheidungen zu treffen und zukünftige Prioritäten vorherzusehen, indem künstliche Intelligenz, Cloud-Technologien und -Instrumente beeinflusst werden. Der größte Durchbruch kommt mit EarthSignature, einem neuen Datenanalysedienst, der auf die automatische Extraktion semantischer Informationen aus Satellitenbildmaterial abzielt. Die extrahierten Informationen werden anschließend durch die Qwant-Suchmaschine indiziert. Dabei wird die Datenbank in Echtzeit ausgebaut und für eine Vielzahl von Benutzergemeinschaften zugänglich gemacht.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Schlüsselbegriffe
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SPACE-2019
Finanzierungsplan
IA - Innovation actionKoordinator
57001 Thermi Thessaloniki
Griechenland