Erfolgsgeschichte

FRIEND - Flood Risk & Impact assEssment through automatic chaNge Detection of S1 and S2 images

Profil

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.

Vorschlag

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.

Leistungen

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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Flood Risk & Impact assEssment through automatic chaNge Detection of S1 and S2 images

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Farmstar

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Discover Farmstar's holistic precision agriculture solutions, seamlessly integrating satellite imagery, advanced sensors, and data analytics. Our products not only optimize crop management but also prioritize carbon-conscious farming. From monitoring carbon sequestration in soils to recommending eco-friendly practices, Farmstar leads the way in sustainable agriculture, helping more than 13 000 farmers yearly to cultivate responsibly and efficiently.

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