Project description
Can cutting-edge artificial intelligence technologies foster the Earth observation market?
Earth observation (EO) technologies are taking on a new value with the EU-funded SnapEarth project. The project will allow the market to shift from analysing EO Big Data to analysing data in motion – Fast Data. The project aims to use data effectively to make key decisions, and anticipate future priorities by influencing artificial intelligence, cloud technologies and tools. The major breakthrough comes with EarthSignature, a new data analytics service that aims to automatically extract semantic information from satellite imagery. The extracted information is then indexed by the Qwant search engine, the database being real-time enriched and made easily accessible to a wide range of user communities.
Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- engineering and technology mechanical engineering vehicle engineering aerospace engineering satellite technology
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.6. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Space
MAIN PROGRAMME
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H2020-EU.2.1.6.1. - Enabling European competitiveness, non-dependence and innovation of the European space sector
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H2020-EU.2.1.6.3. - Enabling exploitation of space data
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
IA - Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-SPACE-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
57 001 THERMI THESSALONIKI
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.