Abstract

This session will gather contributions and experiences of optimising, integrating and exploiting existing Earth Observation (EO) systems to support processes of urban adaptation to Climate Change (CC). Indeed, seeing the current lack of a dedicated process of understanding and quantifying CC effects on urban areas and the lack of engagement between the urban planners and the EO community identified by UN Habitat, the session will focus the contribution of EO to the integrated and holistic assessment of risks related to CC and other extreme events to be taken into account in the sustainable planning of cities, consistently with the objectives set by the Paris Agreement. Referring to the framework of the nine Societal Benefits Areas (SBAs) that clearly posits the role of EO as a crucial tool towards resilient cities and to promote equity, welfare and shared prosperity for all, new indicators and integradet methodologies for the monitoring of progress towards the Sustainable Development Goals in an EU context are needed. In particular the selection of contributions will aim at exploring how Remote Sensing tools, 3D-4D monitoring and Machine Learning/Deep Learning techniques can be effectively integrated in the urban decision-making processes to support urban development and to deliver real benefits.