The detection and assessment of natural hazards require precise, high-resolution data to identify risks early and develop targeted countermeasures. Using cutting-edge drone technology and innovative data processing, GMD GmbH creates digital twins of at-risk areas.
Our drones are equipped with high-resolution cameras, LiDAR scanners, and multispectral sensors. They capture terrain features, vegetation structures, and potential hazard sources with the highest accuracy. Through repeated surveys, changes in the landscape can be detected, allowing for the early identification of risk factors such as landslides, erosion, or debris blockages.
Digital Twin – an exact virtual replica of reality
From the collected drone data, we create a Digital Twin – a three-dimensional, georeferenced model of the environment. This digital twin enables:
✅ Landslide and debris flow monitoring
✅ Flood protection and debris flow management
✅ Protection of critical infrastructure
✅ Monitoring of avalanche and rockfall risks
✅ Sustainable resource management
By combining drone surveying, AI-powered data analysis, and digital twins, GMD GmbH is revolutionizing hazard prevention, providing a reliable decision-making foundation for natural hazard management.
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GMD GmbH develops customized sensor solutions for highly specialized applications in natural hazard monitoring, infrastructure surveillance, and environmental technology. Our sensor technology is designed to capture precise measurements under extreme conditions, providing a reliable data foundation for preventive protective measures.
Each application presents unique demands for sensing and measurement technology. Our development process integrates cutting-edge sensor technologies, AI-driven data
analysis, and IoT connectivity to create innovative solutions for complex challenges.
Our Focus Areas:
✅ High-precision radar sensors for measuring water levels, flow velocities, and debris accumulations in alpine waterways
✅ Seismic and impact sensors for monitoring landslides, rockfalls, and infrastructure movements
✅ Multi-sensor platforms combining radar, LiDAR, acoustic, and optical sensors for enhanced monitoring
✅ AI-powered data processing for anomaly detection and early hazard warnings
Our team supports the entire development process – from technical conception and prototyping to seamless integration into existing systems. We collaborate closely with research institutions, infrastructure operators, and industry partners to develop innovative and practical solutions.
Our sensors are specifically designed for demanding operational conditions and offer:
Through application-specific sensor development, GMD GmbH creates smart, reliable, and scalable solutions that make a significant contribution to the safety and resilience of infrastructure and the environment.
The increasing complexity of natural hazard monitoring, infrastructure surveillance, and environmental data management requires efficient, scalable, and intelligent data processing. GMD GmbH provides a powerful data platform that centralizes, analyzes, and delivers real-time sensor data, ensuring precise risk assessment and decision-making.
Our platform processes large datasets from IoT sensors, drone surveys, and external geospatial sources, creating a unified and comprehensive database for risk evaluation and decision support.
Our interactive dashboards, AI-driven analytics, and predictive models enable users to detect risks early and take proactive measures.
✅ Monitoring of Critical Infrastructure – Bridges, tunnels, and flood protection systems
✅ Natural Hazard Prevention – Detection and forecasting of landslides, avalanches, and floods
✅ Optimized Water & Resource Management – Real-time data for sustainable planning
Our platform is scalable and adaptable, allowing the seamless integration of new sensors, algorithms, and interfaces. Smart data processing is the key to an efficient, secure, and resilient future.
Our Machine Learning algorithms continuously process large datasets from IoT sensors, weather stations, drones, and other sources. They detect anomalies, trends, and patterns, enabling automated and reliable risk detection.
Our AI models learn from past events to differentiate between real hazards and non-critical incidents, significantly reducing false alarms and improving decision-making reliability.
✅ Automated event categorization – Preventing false alarms through self-learning algorithms
✅ Customized adaptation to specific environments – AI models recognize location-specific risk patterns
✅ Seamless integration into existing early warning systems – Direct forwarding of precise alerts to relevant stakeholders
By applying Machine Learning, GMD GmbH makes early warning systems more efficient, faster, and more reliable. This ensures that critical events are detected early, emergency responders are optimally informed, and unnecessary reactions to false alarms are avoided.
GMD® is a company that specializes in the prevention of natural hazards with self-sufficient, AI-based IoT sensor and radio networks with a machine learning GIS risk analysis platform to make natural events more predictable and offers and advises on customer-optimized climate change adaptation models for municipalities, ski resorts or infrastructure operators.
