
The integration of Satellite Data in local Spatial Data Infrastructures (SDIs) and AI-driven analytical solutions is of strategic importance, supporting territorial management and decision making on national, regional, and municipal level. EO Copernicus can be a disruptive source of knowledge to improve territorial and environmental management and delivery of effective public policies and risk prevention services. However, due to the lack of resources and competences at organizational and individual level, as well as low awareness among political decision makers, the uptake of existing satellite data and services is challenging. Their integration in added-value services for local and regional administrations is far from optimal. Complex scientific studies and services exist, but they require high expertise also do not effectively help the widespread use of innovative solutions combating CC and risk prevention. There are gaps to bridge to achieve the vision. The aim is to develop a user-friendly municipal expert system on risk prevention and strengthening resilience. We propose an in-house developed operational solution, combining so-called Exposure and Loss databases and the SmartCover Databases. It combines three main tools – the description of land cover through Land Cover Meta Language – LCML (ISO 19144-2); local master plans legal nomenclature and associated spatial data (functional zones) – “urban/functional bricks” concept; and satellitebased algorithms for automatic data interpretation, developed by Stalker-KM LTD (upgraded ASDEECOREGIONS).
CbM, land cover, AI, risk prevention, EO, in situ, land use
CbM, land cover, AI, risk prevention, EO, in situ, land use
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