SaferPlaces Global Platform is a revolutionary EO/Cloud-based and Digital Twin Platform able to support multiple users in assessing flood risk for cities worldwide and making flood smart data-driven decisions.
SaferPlaces addresses climate-related hazards including coastal floods, river floods, heavy precipitation/pluvial floods, and sea level rise. It is designed to solve the following specific problems:
- Insufficient Flood Risk Data: Bridging data gaps with high-resolution flood risk intelligence at the parcel level worldwide.
- Limited Data Coverage and Resolution: Providing spatially explicit risk information for precise property-level analysis.
- Data Accessibility and Democratisation: Making flood risk intelligence accessible to municipalities, insurers, and emergency authorities.
- Lack of Comprehensive Flood Risk Management: Offering a holistic solution for municipalities, urban planners, and civil protection agencies to build flood-resilient cities and plan mitigation measures.
- Early Warning and Evacuation Support: Assisting first responders in evaluating critical areas and identifying early warning and evacuation measures during floods.
- Crisis Response and Decision-Making: Enabling quick flood risk assessment and damage analysis for timely and informed decision-making during and after flood events.
- Inadequate Risk Scoring and Profiling: Enabling insurance and reinsurance companies to enhance risk selection, underwriting, and premium setting with detailed flood risk insights.
- Climate Change Impact Mapping: Supporting parametric solutions and predictive analytics to counteract climate change effects and map risks.
- Flood Damage Assessment: Providing flood risk reports with expected annual damages for different climate scenarios, aiding insurance companies and banks in policy decisions.
- Global Economic Losses Due to Floods: Supporting financial institutions in flood risk scoring, profiling, and compliance with compulsory disclosure on climate risks.
See more information about this level and the TRL and SRL levels.
The BRIGAID Business Development Programme has been successfully completed. A MAF+ assessment has been conducted and its results have been enriched and incorporated into a business plan document.
The market assessment of this innovation has been self-declared by the provider and has not been independently verified. For more details, please contact the innovator directly.
The system’s main components have been individually tested, and an initial integration has been completed.
It can help stakeholders to identify the extent of future flooding, from different type of hazard sources, and reduce their impacts by supporting mitigation and adaptation planning as well as disaster emergency preparedness.
SaferPlaces aligns with the concept of using existing data and algorithms providing a solution for flood and asset warnings, along with resource allocation during floods. Its high-resolution flood risk intelligence at the building level and its fast calculation time support effective risk assessment and response planning. In addition, SaferPlaces contributes to the need of a flood-focused solution by providing detailed flood risk information, helping identify high-risk areas and enabling better-informed decisions for infrastructure development and community responses.
SaferPlaces originates from a research project funded by the EIT Climate-KIC (1,8M euros) for a period of three years (2018-2021). Therefore, it is the result of years of a partnership with European universities (University of Bologna, Italy and Polytechnical University of Madrid UPM, Spain) research centres (CMCC Euro-Mediterranean Centre on Climate Change and GFZ German Research Centre for Geosciences) and small and medium enterprises (GECOsistema, MEEO, Humer Consulting), plus the subsequent years of development carried out after the end of the project. The algorithms and models at the core of SaferPlaces’ solution have been validated and published in peer review journals (full list here: HTTPs://saferplaces.co/scientifically-proven-hazard-and-damage-modelling/). At the end of the research project, we have signed the corresponding IPR agreements with each partner of the project and we now own the IP rights on the AI-based algorithms for flood modelling and the scalable and elastic cloud architecture behind SaferPlaces, to further develop and commercialize the platform. After the initial phase SaferPlaces has been continuously updated and developed by GECOsistema to cope with new high-resolution data available (particularly for Earth observation) and to add new functionalities that matches users’ needs.
Conditions on the effectiveness of the SaferPlaces solution are related to the following aspects: SaferPlaces offers a faster hazard mapping solution with simple “fill and spill” algorithm where the dynamic effects are neglected (i.e., the algorithm does not solve the equations of hydrodynamics, but it simply assesses the extension of the flooding event and the water level in the depressions). The service provides a “picture at a the end of the flood” for a specific input of flood scenarios (for 3 types of hazards: pluvial, fluvial, and coastal). On the other hand, the time required to run each simulation is very little, less than a few minutes, allowing for quickly testing various scenarios and conditions. It is thus particularly suitable in the plains, where the flooding phenomenon is not governed by slope, and it primarily proceeds through cascading reservoirs that activate when the water level exceeds the boundary embankments and/or in the presence of connections such as underpasses. Should such condition be too restrictive, SaferPlaces offers (for pluvial/fluvial hazard) a 2D dynamic model that provides water depth during flood simulation for snapshots “at chosen times during the flood event”, while velocity patterns are not provided in the actual implementation of SaferPlaces. The retrieval of high-resolution data is needed to build the digital twin of the city. Just exploiting open-source data, the SaferPlaces platform already covers at 1m resolution all Europe and USA, which are our main targeted markets. For the rest of the world, SaferPlaces has the geospatial data to reach a 20/30m resolution, which still allows to simulate the desired flood scenarios in urban environments but provides a lower resolution output as a result. However, open LIDAR data are increasingly available in many cities worldwide and their acquisition cost is becoming very competitive thanks to the possibility to exploit UAV and DRONES or airborne LIDAR. A good example is provided by the National Italian Extraordinary Plan of Remote made around 2008 that produced the first round of LIDAR at national level, with results perfectly suitable for SaferPlaces’ applications. Such data is nowadays accessible and periodically updated/extended upon initiatives of the single Regions/Civil Protection Agencies/River District Authorities/Cities/Multiutilities at a fraction of the costs of the first national plan, with higher accuracy and resolution. The same for Radar data that are made available by local authorities (meteorological and environmental agencies, regional governments, etc). While updated with links to new open datasets at any major release, SaferPlaces currently not providing an automatic search of the new data eventually available, it is thus designed to integrate them in the process of digital twin creation once the user provides them.
SaferPlaces Global Platform is a revolutionary EO/Cloud-based and Digital Twin Platform able to support multiple users in assessing flood risk for cities worldwide and making flood smart data-driven decisions.
SaferPlaces addresses climate-related hazards including coastal floods, river floods, heavy precipitation/pluvial floods, and sea level rise. It is designed to solve the following specific problems:
- Insufficient Flood Risk Data: Bridging data gaps with high-resolution flood risk intelligence at the parcel level worldwide.
- Limited Data Coverage and Resolution: Providing spatially explicit risk information for precise property-level analysis.
- Data Accessibility and Democratisation: Making flood risk intelligence accessible to municipalities, insurers, and emergency authorities.
- Lack of Comprehensive Flood Risk Management: Offering a holistic solution for municipalities, urban planners, and civil protection agencies to build flood-resilient cities and plan mitigation measures.
- Early Warning and Evacuation Support: Assisting first responders in evaluating critical areas and identifying early warning and evacuation measures during floods.
- Crisis Response and Decision-Making: Enabling quick flood risk assessment and damage analysis for timely and informed decision-making during and after flood events.
- Inadequate Risk Scoring and Profiling: Enabling insurance and reinsurance companies to enhance risk selection, underwriting, and premium setting with detailed flood risk insights.
- Climate Change Impact Mapping: Supporting parametric solutions and predictive analytics to counteract climate change effects and map risks.
- Flood Damage Assessment: Providing flood risk reports with expected annual damages for different climate scenarios, aiding insurance companies and banks in policy decisions.
- Global Economic Losses Due to Floods: Supporting financial institutions in flood risk scoring, profiling, and compliance with compulsory disclosure on climate risks.
The BRIGAID Business Development Programme has been successfully completed. A MAF+ assessment has been conducted and its results have been enriched and incorporated into a business plan document.
The business plan for this innovation has been evaluated by The Funding Company and it is considered to be ready for investment.
The main components of the system have been tested separately, and an initial integration exercise has been conducted.
It can help stakeholders to identify the extent of future flooding, from different type of hazard sources, and reduce their impacts by supporting mitigation and adaptation planning as well as disaster emergency preparedness.
SaferPlaces aligns with the concept of using existing data and algorithms providing a solution for flood and asset warnings, along with resource allocation during floods. Its high-resolution flood risk intelligence at the building level and its fast calculation time support effective risk assessment and response planning. In addition, SaferPlaces contributes to the need of a flood-focused solution by providing detailed flood risk information, helping identify high-risk areas and enabling better-informed decisions for infrastructure development and community responses.
SaferPlaces originates from a research project funded by the EIT Climate-KIC (1,8M euros) for a period of three years (2018-2021). Therefore, it is the result of years of a partnership with European universities (University of Bologna, Italy and Polytechnical University of Madrid UPM, Spain) research centres (CMCC Euro-Mediterranean Centre on Climate Change and GFZ German Research Centre for Geosciences) and small and medium enterprises (GECOsistema, MEEO, Humer Consulting), plus the subsequent years of development carried out after the end of the project. The algorithms and models at the core of SaferPlaces’ solution have been validated and published in peer review journals (full list here: HTTPs://saferplaces.co/scientifically-proven-hazard-and-damage-modelling/). At the end of the research project, we have signed the corresponding IPR agreements with each partner of the project and we now own the IP rights on the AI-based algorithms for flood modelling and the scalable and elastic cloud architecture behind SaferPlaces, to further develop and commercialize the platform. After the initial phase SaferPlaces has been continuously updated and developed by GECOsistema to cope with new high-resolution data available (particularly for Earth observation) and to add new functionalities that matches users’ needs.
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