Project description
Big Data analytics for Earth observation will open a new window on our planet
Big Data is affecting almost every area of science and technology, offering both opportunities for greater insight and challenges in acquiring and interpreting it. This holds true for Copernicus, the EU’s Earth observation programme. Copernicus is continuously acquiring a tremendous amount of data about our planet from both satellites and non-space systems and providing information services that are free and openly accessible. The EU-funded ExtremeEarth project is developing the remote sensing and AI techniques to extract information and insight from the mind-boggling volume of Copernicus data, shedding new light on our planet with applications in many areas from food security to climate change.
Objective
Copernicus is the European program for monitoring the Earth. The geospatial data produced by the Sentinel satellites puts Copernicus at the forefront of the Big Data paradigm, giving rise to all the relevant challenges: volume, velocity, variety, veracity and value. ExtremeEarth concentrates on developing the technologies that will make Europe a pioneer in the area of Extreme Earth Analytics i.e. the Remote Sensing and Artificial Intelligence techniques that are needed for extracting information and knowledge out of the petabytes of Copernicus data. The ExtremeEarth consortium consists of Remote Sensing and Artificial Intelligence researchers and technologists with outstanding scientific track records and relevant commercial expertise. The research and innovation activities undertaken in ExtremeEarth will significantly advance the frontiers in Big Data, Earth Analytics and Deep Learning for Copernicus data and Linked Geospatial Data, and make Europe the top player internationally in these areas. The ExtremeEarth technologies will be demonstrated in two use cases with societal, environmental and financial value: the Food Security use case and the Polar use case. ExtremeEarth will bring together the Food Security and Polar communities, and will work with them to develop technologies that can be used by these communities in the respective application areas. The results of ExtremeEarth will be exploited commercially by the industrial partners of the consortium.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologyenvironmental engineeringremote sensing
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencescomputer and information sciencesdata sciencedata processing
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Programme(s)
Call for proposal
(opens in new window) H2020-ICT-2018-20
See other projects for this callSub call
H2020-ICT-2018-2
Funding Scheme
RIA - Research and Innovation actionCoordinator
10 561 ATHINA
Greece