AI-based cloud-web platform for mapping fluvial flood hazard over large areas
Large-scale and high resolution geographical/topographical data has the potential to improve resilience in natural and flood hazards.
GECOsistema is developing Artificial Intelligence based algorithms and technology to realize this potential.
SmartFLOOD is an innovative Artificial Intelligence Cloud-Web platform developed to drastically reduce cost and processing time in mapping Fluvial Flood Hazard at large-scales and at high resolution (less than 30 m) anywhere in the world.
SmartFLOOD generates in in real-time comprehensive flood risk map of the entire planet, integrating large scale and high resolution open data and artificial intelligence algorithms for supporting robust evidence-based decision-making in flood risk management.
SmartFLOOD provides quickly to our clients (public authorities, civil protection agencies, insurance and re-insurance companies, critical infrastructure, but also citizens) detailed information about areas and assets prone to flooding that supports decision-making and the design measures and the defining of risk transfer schemes (insurance).
SmartFLOOD intelligence is composed by two components:
- An high resolution (25 m) Geomorphic Flood Index -GFI generated processing DEM
- A Machine Learning binary classification algorithm
Calibrating the GFI for a specific area of interest over an available flood hazard reference map, provided by existing studies (es. JRC flood hazard maps) or numerical hydrodynamic simulations uploaded directly by the user , the SmarFLOOD platform delivers an higher resolution (downscaling) and an extrapolation (from a sub-basing to the entire hydrological basin) of the flood hazard reference maps than can be used in more accurate flood risk assessment studies.
The Web Service is designed to provides end-users with the possibility to consistently and cost-effectively extend local detailed flood studies (i.e. those coming from complex flood models, field studies or remote sensing detection) in uncovered data-scarce regions, to extrapolate them to larger scales and downscale to finer resolutions.
The service is fully operative and actually covers the entire PAN-EU and will be extended soon to be operative worldwide, it implements the Geomorphic Flood Index (GFI; Samela et al., 2017) workflow described in Tavares da Costa et al. (2017) and developed under the System-Risk project (www.system-risk.eu).
Recently published paper Tavares et al. “A web application for hydrogeomorphic flood hazard mapping, Environmental Modelling and Software” (2019), doi: https://doi.org/10.1016/j.envsoft.2019.04.010.
SMARTFLOOD provides to Insurance and reinsurance companies detailed information about areas and assets prone for defining of flood risk transfer schemes.
SMARTFLOOD covers the needs of Public Authorities seeking for a comprehensive, cost effective and homogeneous mapping of large areas to meet the EU Water Framework Directive requirements.
SMARTFLOOD attends to the needs of single users seeking for local high detailed maps in data scarce regions where numerical modeling may not be feasible.
SMARTFLOOD core algorithm is based on the morphological descriptor Geomorphic Flood Index (Samela et al., 2017), GFI, and its use as a AI-based linear binary classification feature (Degiorgis et al., 2012).
The workflow starts with terrain analysis (i.e. determination of flow direction, local slope and upslope contributing area) of a Digital Elevation Model (DEM), using TauDEM tools, and the segmentation of a reference map of maximum flood depths using a pre-defined cut-off depth (in this case 0.01 m).
The morphological characterization stage corresponds to the computation of the GFI from terrain analysis layers and the definition of a classification area, used to avoid some classification shortcomings.
The AI-based supervised classification of the GFI is then performed within the classification area established for each river basin, searching for the optimal threshold that better represents the binarized reference flood extents. The optimal threshold is subsequently used to segment the GFI layer, resulting in an index-based flood extent map (i.e., all values above or equal to the threshold are flagged as flooded and below as not flooded), or map of flood-prone areas.
Finally, we quantify how well suited the continuous classifier is and how well the classification performed within each, and across, river basins.
- high resolution maps of flood hazards and risk
- extrapolation and downscaling from existing flood hazard maps
- the platform can be tailored based on users needs
- Operative at PAN-EU but can be extended to worldwide
SmartFLOOD is available free-of-charge with limitations for some areas prior user registration.
The fully operation of SmartFLOOD requires annual payments (“Annual Subscription Fee”) for each SmartFLOOD Zones of interest (EU NUTS Level 1 Regions).
The Annual Subscription give access to SmartFLOOD platform without any limitation for the acquired SmartFLOOD Zones for 1 year.
The User can use the AI-cloud-based platform for infinite running and calibration with the possibility to upload personalised Flood Hazard Reference Maps and Download the Flood Hazard Output Maps.
Please find here on the left pane a map of Annual Subscription Costs (EURO – VAT Excluded) for each SmartFLOOD Zones.