This service pilot aims at assessing the flood risk in selected areas, its impact on urban areas and the associated risk for population. It uses Sentinel-1 and Sentinel-2 change detection data and relevant processing chains to generate time-series of imagery and automatically detect changes on flood events dates, in the following areas: 1) Char-Piya region, an island used also as validation area (Bangladesh), 2) the eastern part of Australia between Queensland and New South Wales, an area relevant for Climate security issues and for its correlation with flood events caused by both hydro-meteorological factors and sea level anomalies (as for case 1), 3) the west Darfur, as additional example of inland area. The main output have been exposed through the FRIEND platform public GUI based on MEEO data cube technology, to provide citizens and non-expert users with a Flood Risk & Impact Assessment dashboard based on maps and time-series charts. The FRIEND platform also addresses expert users through the Jupyter Notebook web-based interactive development environment, thus allowing to configure and run customized pipelines and workflow.

Descripción del producto

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

Idioma de servicio
Lenguaje de metadatos
Acuerdo de nivel de servicio
Términos y condiciones
Modo de entrega
Nivel comercial
Estado del ciclo de vida del servicio
Localizador de servicios
Fecha de publicación
18 ago 2022


Benefits description

  • 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
Modelo de pago
Precio a partir de

Especificación técnica

Resolución espacial entregable
Precisión de entrega vertical
Precisión de entrega horizontal.
Capas raster entregables
Capas vectoriales entregables
Precisión de entrega
Los formatos
Modelo de datos de entrega
Datos de entrega
Traductor de datos
Fecha de inicio de adquisición
Fecha de finalización de la adquisición

Lugar de servicio

Service place description


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