Explore the words cloud of the SnapEarth project. It provides you a very rough idea of what is the project "SnapEarth" about.
The following table provides information about the project.
|Coordinator Country||France [FR]|
|Total cost||2˙688˙173 €|
|EC max contribution||1˙995˙031 € (74%)|
1. H2020-EU.188.8.131.52. (Enabling European competitiveness, non-dependence and innovation of the European space sector)
2. H2020-EU.184.108.40.206. (Enabling exploitation of space data)
|Duration (year-month-day)||from 2019-12-01 to 2022-05-31|
Take a look of project's partnership.
|2||CS SYSTEMES D INFORMATION SA||FR (LE PLESSIS ROBINSON)||participant||466˙200.00|
|3||ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS||EL (THERMI THESSALONIKI)||participant||270˙375.00|
|4||CS ROMANIA SA||RO (CRAIOVA)||participant||266˙039.00|
|5||KAPITECH SP ZOO||PL (WARSZAWA)||participant||255˙325.00|
|6||ISARDSAT SL||ES (Barcelona)||participant||176˙137.00|
|7||MIDDLE EAST TECHNICAL UNIVERSITY||TR (ANKARA)||participant||107˙325.00|
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.
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "SNAPEARTH" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (email@example.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "SNAPEARTH" are provided by the European Opendata Portal: CORDIS opendata.
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