Objective
With the advent of the Copernicus program with its wealth of open data, the Earth Observation application and service development domain is increasingly adopting big data technologies. This adoption is first related to efficient data storage and processing infrastructures, but most importantly data analytics and application development framework.
CANDELA project main objective is to allow the creation of value from Copernicus data through the provisioning of modelling and analytics tools given that the tasks of data collection, processing, storage and access will be provided by the Copernicus Data and Information Access Service (DIAS), which the team is fully familiar with. The implementation starts by putting in place a set of powerful tools that drastically lowers the cost of getting familiar with the data and creating new services. These modules adopt new developments in the domain of machine learning, data mining, data fusion and web semantics, combining the Copernicus data and information with other non-Earth Observation data sources to derive novel applications and services.
CANDELA will demonstrate the breadth of project capabilities with a real-life small demonstrator by means of two reference scenarios: a “macro-economics and agriculture” scenario to show how remote sensing capacities to extract adequate information from images could be used to feed economical models; and a “forest health monitoring” (FHM) scenario which aim is to present how Earth Observation satellite data collection can be used for the monitoring of forest health conditions.
CANDELA team is a well-balanced consortium, consisting of nine partners from five European countries, and with strong participation from the industry as encouraged by the Call, being half of the partners well positioned SME’s.
Fields of science
- natural sciencesphysical sciencesastronomyobservational astronomyoptical astronomy
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencesearth and related environmental sciencessoil sciencesland-based treatment
- natural sciencesearth and related environmental sciencesphysical geographynatural disasters
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
28037 Madrid
Spain
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Participants (9)
95870 Bezons
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31100 Toulouse
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00131 Roma
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51147 Koln
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75794 Paris
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
31058 Toulouse
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31520 Ramonville Saint Ange
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
30 415 Krakow
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00-511 Warszawa
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.