Periodic Reporting for period 2 - SAFERS (Structured Approaches for Forest fire Emergencies in Resilient Societies)
Periodo di rendicontazione: 2022-04-01 al 2024-03-31
Forest fires, intensified by extreme weather conditions escalating in frequency and magnitude due to climate change, have become a global crisis. These catastrophic fires, sweeping through forests and landscapes at an alarming rate, have led to the loss of human lives, the destruction of homes and biodiversity, and the emission of millions of tons of CO2 and other pollutants. The need to effectively manage forest fire emergencies has never been more crucial.
To respond to this global challenge, the project SAFERS 'Structured Approaches for Forest Fire Emergencies in Resilient Societies' has created an integrated emergency management platform featuring 9 Intelligent services, including a forest fire Decision Support System. The platform uses heterogeneous data from different sources: earth observations from Copernicus, optical cameras placed in strategic locations, topographic data, open data, weather forecasts and even crowdsourced data from social media and ad-hoc apps (Chatbot) that citizens and first responders can use to provide situational in-field information. Such Big Data is processed using Artificial Intelligence algorithms to generate helpful information, such as risk maps to better plan preparedness actions, early detection of active fires, fire propagation predictions, burned area and fire front delineation, impact assessment estimations, and habitat recovery maps. Moreover, using a semantic knowledge base, the SAFERS Decision Support System suggests best practices according to the emergency phase (prevention and preparedness, detection and response, restoration and adaptation) and the current situation.
SAFERS is not just a theoretical concept but a practical solution. It has been successfully piloted in four European countries, namely France (Corsica), Italy (Piedmont), Spain (El Perelló), and Greece (Thessaloniki), demonstrating its effectiveness and adaptability in diverse environments.
To respond to this global challenge, the project SAFERS 'Structured Approaches for Forest Fire Emergencies in Resilient Societies' has created an integrated emergency management platform featuring 9 Intelligent services, including a forest fire Decision Support System. The platform uses heterogeneous data from different sources: earth observations from Copernicus, optical cameras placed in strategic locations, topographic data, open data, weather forecasts and even crowdsourced data from social media and ad-hoc apps (Chatbot) that citizens and first responders can use to provide situational in-field information. Such Big Data is processed using Artificial Intelligence algorithms to generate helpful information, such as risk maps to better plan preparedness actions, early detection of active fires, fire propagation predictions, burned area and fire front delineation, impact assessment estimations, and habitat recovery maps. Moreover, using a semantic knowledge base, the SAFERS Decision Support System suggests best practices according to the emergency phase (prevention and preparedness, detection and response, restoration and adaptation) and the current situation.
SAFERS is not just a theoretical concept but a practical solution. It has been successfully piloted in four European countries, namely France (Corsica), Italy (Piedmont), Spain (El Perelló), and Greece (Thessaloniki), demonstrating its effectiveness and adaptability in diverse environments.
SAFERS has been conceived as a modular system that can provide different types of services that can meet many customer needs.
The SAFERS platform is published with an open-source license, while the 9 Intelligent Services are offered according to a B2B model. Moreover, SAFERS has launched a 12-month free trial of the integrated Platform targeting various end-users (e.g. firefighters, civil protections, Banking, Financial Services and Insurance, etc..) interested in testing the SAFERS solutions.
The SAFERS Intelligent Services are briefly explained in the section below.
The SAFERS platform is published with an open-source license, while the 9 Intelligent Services are offered according to a B2B model. Moreover, SAFERS has launched a 12-month free trial of the integrated Platform targeting various end-users (e.g. firefighters, civil protections, Banking, Financial Services and Insurance, etc..) interested in testing the SAFERS solutions.
The SAFERS Intelligent Services are briefly explained in the section below.
Progress Beyond the State of the Art
The SAFERS project has made significant strides in advancing the state of the art in wildfire management by developing innovative technologies and services. Key advancements include:
1) Enhanced Smoke and Fire Detection: Utilising non-dedicated in-situ video surveillance cameras, SAFERS can detect smoke and fire in real-time, providing a prompt response capability. This system complements existing proprietary solutions by integrating with a broader range of surveillance hardware.
2) Fire Propagation Modeling: Based on Earth Observation data, the on-demand fire propagation model supports decision-making during forest fire emergencies. This model predicts fire spread and potential impacts, aiding in strategically planning fire attacks, evacuation, and resource allocation.
3) EO-Based Fire Delineation: This service delineates burned areas and assesses severity using advanced AI algorithms and Copernicus Sentinel-2 imagery. It enhances situational awareness and supports accurate impact assessments during and after wildfires.
4) Post-Wildfire Monitoring: This service uses Sentinel-2 imagery to monitor vegetation regrowth and sustainable restoration efforts continuously. It automates the assessment of post-fire recovery, especially in Wildland-Urban Interface (WUI) areas, providing critical data for long-term environmental management.
5) Semantic Decision Support System (DSS): Built from scratch, leveraging knowledge from previous projects, the DSS integrates various data sources and delivers early warnings and strategic insights to emergency responders and decision-makers.
6) Social Media Analysis: Enhanced from prototypes in previous projects, this service now includes wildfire-specific taxonomies and multilingual capabilities. It processes social media data to detect events and assess impacts, offering a rich source of real-time information.
7) Chatbot for Citizens and Volunteers: The SAFERS chatbot, available on Telegram, facilitates bi-directional communication between control centres and field professionals or volunteers. It engages citizens by collecting real-time information and delivering important notifications, promoting active community participation in wildfire management.
8) Sub-Seasonal Weather Forecast: This service provides detailed weather forecasts for up to six weeks, including short-range, medium-range, and sub-seasonal forecasts. These forecasts support early warning and preparedness activities by providing critical weather data and fire weather indices.
9) Operational Early-Warnings: This service enhances existing wildfire early warning systems by integrating high-resolution Earth Observation imagery and automated processes. It provides real-time risk assessments and triggers local services, improving operational safety and efficiency.
Expected Results Until the End of the Project
By the project's conclusion, the SAFERS platform and its associated services are expected to achieve the following:
1) Widespread Trial: A one-year complimentary trial period, activated in March 2024, will allow over 30 organisations to use and evaluate the SAFERS solutions. This trial is expected to provide valuable feedback and drive further adoption.
2) Early Adoption: The SAFERS project has already seen early adoption of its technologies, with successful integration and usage by the Civil Protection of Piedmont Region and the Hellenic Rescue Team (HRT). These early adopters have provided critical feedback and validation, helping to refine the solutions further.
Potential Impacts
The SAFERS project is poised to deliver substantial socio-economic and broader societal benefits:
1) Socio-Economic Impact:
1.1) Cost Savings: Adopting SAFERS technologies will reduce emergency management costs by optimising resource allocation and improving response times.
1.2) Job Creation and Economic Growth: By 2030, the project anticipates creating at least 100 jobs in Europe and generating approximately €47 million in turnover.
1.3) Commercial Viability: The subscription-based service model ensures affordability for smaller agencies and scalability for larger organisations, fostering widespread adoption and sustained economic benefits.
2) Wider Societal Implications:
2.1) Enhanced Safety and Preparedness: The improved detection and early warning capabilities of the SAFERS platform will enhance public safety and preparedness, potentially reducing human and material losses during wildfires.
2.2) Environmental Sustainability: Continuous monitoring and post-fire habitat recovery services support sustainable forest management and biodiversity conservation, contributing to long-term environmental resilience.
2.3) Community Engagement: By involving citizens through chatbots and social media analysis, SAFERS fosters community awareness and participation in wildfire risk management, building more resilient societies.
The SAFERS project has made significant strides in advancing the state of the art in wildfire management by developing innovative technologies and services. Key advancements include:
1) Enhanced Smoke and Fire Detection: Utilising non-dedicated in-situ video surveillance cameras, SAFERS can detect smoke and fire in real-time, providing a prompt response capability. This system complements existing proprietary solutions by integrating with a broader range of surveillance hardware.
2) Fire Propagation Modeling: Based on Earth Observation data, the on-demand fire propagation model supports decision-making during forest fire emergencies. This model predicts fire spread and potential impacts, aiding in strategically planning fire attacks, evacuation, and resource allocation.
3) EO-Based Fire Delineation: This service delineates burned areas and assesses severity using advanced AI algorithms and Copernicus Sentinel-2 imagery. It enhances situational awareness and supports accurate impact assessments during and after wildfires.
4) Post-Wildfire Monitoring: This service uses Sentinel-2 imagery to monitor vegetation regrowth and sustainable restoration efforts continuously. It automates the assessment of post-fire recovery, especially in Wildland-Urban Interface (WUI) areas, providing critical data for long-term environmental management.
5) Semantic Decision Support System (DSS): Built from scratch, leveraging knowledge from previous projects, the DSS integrates various data sources and delivers early warnings and strategic insights to emergency responders and decision-makers.
6) Social Media Analysis: Enhanced from prototypes in previous projects, this service now includes wildfire-specific taxonomies and multilingual capabilities. It processes social media data to detect events and assess impacts, offering a rich source of real-time information.
7) Chatbot for Citizens and Volunteers: The SAFERS chatbot, available on Telegram, facilitates bi-directional communication between control centres and field professionals or volunteers. It engages citizens by collecting real-time information and delivering important notifications, promoting active community participation in wildfire management.
8) Sub-Seasonal Weather Forecast: This service provides detailed weather forecasts for up to six weeks, including short-range, medium-range, and sub-seasonal forecasts. These forecasts support early warning and preparedness activities by providing critical weather data and fire weather indices.
9) Operational Early-Warnings: This service enhances existing wildfire early warning systems by integrating high-resolution Earth Observation imagery and automated processes. It provides real-time risk assessments and triggers local services, improving operational safety and efficiency.
Expected Results Until the End of the Project
By the project's conclusion, the SAFERS platform and its associated services are expected to achieve the following:
1) Widespread Trial: A one-year complimentary trial period, activated in March 2024, will allow over 30 organisations to use and evaluate the SAFERS solutions. This trial is expected to provide valuable feedback and drive further adoption.
2) Early Adoption: The SAFERS project has already seen early adoption of its technologies, with successful integration and usage by the Civil Protection of Piedmont Region and the Hellenic Rescue Team (HRT). These early adopters have provided critical feedback and validation, helping to refine the solutions further.
Potential Impacts
The SAFERS project is poised to deliver substantial socio-economic and broader societal benefits:
1) Socio-Economic Impact:
1.1) Cost Savings: Adopting SAFERS technologies will reduce emergency management costs by optimising resource allocation and improving response times.
1.2) Job Creation and Economic Growth: By 2030, the project anticipates creating at least 100 jobs in Europe and generating approximately €47 million in turnover.
1.3) Commercial Viability: The subscription-based service model ensures affordability for smaller agencies and scalability for larger organisations, fostering widespread adoption and sustained economic benefits.
2) Wider Societal Implications:
2.1) Enhanced Safety and Preparedness: The improved detection and early warning capabilities of the SAFERS platform will enhance public safety and preparedness, potentially reducing human and material losses during wildfires.
2.2) Environmental Sustainability: Continuous monitoring and post-fire habitat recovery services support sustainable forest management and biodiversity conservation, contributing to long-term environmental resilience.
2.3) Community Engagement: By involving citizens through chatbots and social media analysis, SAFERS fosters community awareness and participation in wildfire risk management, building more resilient societies.