Pilot 6.5 | FRIEND

Pilot 6.5 | FRIEND

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. 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.

The current application (running in the SatCen GEO-DAMP platform) will be extended by incorporating Sentinel-2 change detection, enhancing its interoperability, expanding its functionality to cover other areas and periods.

The Char-Piya region (Bangladesh), which was used to validate current results, will also serve for validating the enhanced service that will allow the monitoring of the construction of settlements (i.e. Rohingya refugee camps) and the impact of floods during the Monsoon period.

/ Objectives
  • To provide both citizens and technical experts with a Flood Risk & Impact Assessment tool
  • To raise awareness on how extreme weather events can affect the security of citizens and societies
  • To support the achievement of the 2030 Sustainable Development Agenda 11 and 13, the EU Green Deal, and the EU Common Foreign and Security
/ Partners

MEEO, SatCen

/ Key Users

European Union Satellite Centre (EU) Stakeholders in the field of Space and Security such as EU Member States, EU Agencies (e.g. Frontex, EMSA) and International Organisations (e.g. GEO, UN) NGOs and donors

/ Key Datasets
  • Sentinel-1 GRD/SLC and Sentinel-2 L2A data
  • Meteo-climate and marine data available from Copernicus services (like C3S, CMEMS, GLOFAS) and from ECMWF through CREODIAS
  • Ancillary data, complementing the EO data analysis with possible relevant information that enhance situational awareness reports, or any outputs from current e-shape
  • External processing pipelines: e.g., off-the-shelf machine learning pipelines to be integrated in the CREODIAS Jupyter Notebook for complementing the change detection analyses (e.g., list of rapid mapping activations from the Copernicus EMS with corresponding grading maps) for flood delineation and validation purposes.
/ ID Card
Expected outcome of the pilot
  • New tool to support geospatial analysis tasks in support of decision-making processes related to citizens’ security affected by extreme weather events.
  • Consolidation of enhanced EO processing tools (e.g., change detection, flood masks) and data fusion techniques.
  • Demonstration of the usage of EU infrastructures for climate and/or security related applications and integration of the data cube concept into the e-shape project.
  • Flood Risk & Impact Assessment dashboard, accessible in a simplified version also to the general public (in addition to technical experts), in order to raise awareness on the possible flood-related risks.

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