EIFFEL will offer 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. Moreover, novel methods (super resolution, data fusion) for augmenting the spatiotemporal resolution of explored EO data will be proposed, in order to address the needs of the diverse EIFFEL CC adaptation and mitigation applications. The latter will cover: (i) a set of five different GEO Societal Benefit Areas (SBAs), namely in Water and Land Use Management, Sustainable Agriculture, Transport Management, Sustainable Urban Development and Disaster Resilience domains; (ii) various EU geographical and climatic regions, at local, regional, national, cross-border and pan-European scales. Further, the value of using explainable AI techniques for improving the credibility and comprehensiveness of such CC applications, so that they can offer actionable insights to the decision makers, will be showcased. EIFFEL will foster the co-design of CC adaptation policies and mitigation strategies and monitor CC effects in the respective regions. The project, in line with EuroGEO’s emphasis on early engagement with stakeholders and their participation in the application design, has ensured that they are active consortium members. EIFFEL complies with the framework of results-Oriented GEOSS, to improve the delivery of applications tailored to decision making centres and will actively participate in the GEO Work Programme post-2019. Last, it provides tangible proof of the value of GEOSS data for creating CC applications and encourages projects and initiatives to offer their data through the portal.