EIFFEL

H2020 project EIFFEL ((Revealing the Role of GEOSS as the Default Digital Portal for Building Climate Change Adaptation & Mitigation Applications)) is a game changer in the domain of climate change adaptation and mitigation by harvesting the benefits of the GEOSS data. The project will offer to the Earth Observation community the ground-breaking capacity of exploiting existing GEOSS datasets and will also build upon prior knowledge, with minimal new data collection activities. Added-value services interoperable with GEOSS will be designed, using cognitive search and metadata augmentation tools based on Artificial Intelligence, including Natural Language Processing. These tools will leverage advanced cognitive features to extract meaningful information from and enrich GEOSS metadata. Our Expertise: The project will promote the development and uptake of 5 pilot applications from different geographic areas and climate regions, addressing the UN Sustainable Development Goals, The Paris Agreement and the Sendaï Framework for Disaster Risk Reduction and aligned with GEO Societal Benefit Areas: → Water and Land Use Management → Sustainable Agriculture → Transport Management → Sustainable Urban Development → Disaster Resilience Fast facts: Starting day → 01 / 06 / 2021 Project information → 36 months, 19 partners, EU contribution 4.999.466,25 € Call (part) identifier → H2020-LC-CLA-2018-2019-2020 Topic → LC-CLA-19-2020-Building a low-carbon, climate resilient future: climate action in support of the Paris Agreement Coordinator → Institute of Communications and Computer Systems (ICCS) EU Project Officer → Izabela Freytag. For more information visit: https://www.eiffel4climate.eu/
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H2020 project EIFFEL | A game changer in Earth Observation applications for climate change adaptation & mitigation.

EIFFEL H2020 project offers the EO-based community the ground-breaking capacity of exploiting existing GEOSS and external datasets, with minimal new data collection activities. Added-value services interoperable with GEOSS will be designed, using cognitive search and metadata augmentation tools based on Artificial Intelligence (AI), including Natural Language Processing. These tools will leverage advanced cognitive features to extract meaningful information from and enrich GEOSS metadata.