Historia exitosa
FRIEND - Flood Risk & Impact assEssment through automatic chaNge Detection of S1 and S2 images
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Perfil
This pilot aims at assessing the flood risk in selected areas, its impact on urban areas and the associated risk for population. It will use Sentinel-1 and Sentinel-2 data and relevant processing chains to generate time-series of imagery and automatically detect changes within a given period.
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Propuesta
The output will be exposed through the MEEO (pilot coordinator) platform whose data cube technology will be enriched with additional relevant datasets to provide both citizens and experts with a Flood Risk & Impact Assessment dashboard based on indicators, time-series charts or forecasting maps. The objective is to have a smart organization of the heterogeneous relevant datasets that facilitates the analysis of the data available and, therefore, the monitoring activities over an AoI.
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Beneficios
- Flood Risk & Impact Assessment tool available to citizens and technical experts
- Increased awareness on extreme weather events and their impact
- Support of the achievement of the 2030 Sustainable Development Agenda
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