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. 

These are the type of tools you should expect from CANDELA:

  • Generic Big data analytics building blocks allowing the analysis of large volume of Earth Observation Data:

Automatic and semi-automatic long term trends extraction from multi-temporal datasets (up to 3 years)

Automatic and semi-automatic patterns identification from high geographical scale (up to 1 Mkm²)

  • Tools for fusion of various multi-sensor Earth Observation (Copernicus optical and radar data, contributing missions) with Copernicus in-situ data and additional information from the web such as social networks or Open Data in order to create new applications and services.
  • Compatibility of the analytics building blocks with any cloud computing back office layers (PaaS/IaaS) in order to run on a distributed architecture with a complete scalability and elasticity and eventually be deployed on top the DIAS.
  • Analytics tools developed in the project will have state-of-art performance and allow to yield optimal veracity.
  • Capacity to generate economic and social value assessment in two reference scenarios fulfilling the needs of one public authority and one private company end-users and mostly based on Copernicus and contributing missions open data.
  • Full compatibility between CANDELA and existing European assets and namely future DIAS.