NASHUA, N.H. – When floods, severe storms, or large-scale infrastructure failures strike, emergency responders must quickly determine the scope of the damage and where assistance is needed most.

Roads may be impassable, and communications networks may be offline. Power outages can disrupt transportation systems and emergency services. At the same time, authorities must assess damage, locate people who need assistance, coordinate resources, and make decisions with incomplete information.

The German Aerospace Center (DLR) recently examined how emerging technologies could support those efforts during a large-scale disaster-response exercise in Germany. The exercise brought together researchers, emergency-response organizations, and public authorities to evaluate how new tools could strengthen situational awareness and improve coordination during a crisis.

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Disaster response depends on timely information

The first hours following a major disaster often present the greatest challenge for emergency managers. Information is limited, communications may be disrupted, and conditions can change rapidly as responders arrive on scene.

Emergency managers rely on accurate information to allocate resources and prioritize response efforts. That task becomes significantly more difficult when disasters affect the infrastructure needed to collect and share information.

Traditionally, responders have relied on reports from field personnel, emergency calls, and aerial reconnaissance to build an understanding of evolving conditions. While those methods remain essential, gathering information across a large disaster area can take time, particularly when transportation routes are damaged or access to affected communities is limited.

Technologies such as satellite imagery, unmanned aircraft, and automated data analysis can minimize that uncertainty by providing a broader view of conditions across the operational area. 

The objective is not to replace emergency responders, but to give decision-makers a clearer picture of conditions as they develop.

The DLR exercise simulated a severe flood in Germany's Ahrweiler district. The scenario included damaged roads, destroyed bridges, communications outages, and multiple requests for assistance from local authorities.

Under those conditions, responders must quickly determine where flooding has occurred, which transportation routes remain accessible, and where to deploy emergency resources. The demonstration focused on how technology could help answer those questions faster and more accurately.

Collecting information is only the first step

Modern emergency-response organizations have access to more data sources than ever before.

Satellites can provide wide-area imagery shortly after a disaster. Drones can inspect damaged infrastructure and survey locations that may be difficult to reach safely. Ground-based robotic systems can operate in hazardous environments and gather information without exposing personnel to additional risk.

During the exercise, researchers used satellite imagery, drones, robotic platforms, and field observations to collect information across the simulated disaster area. The goal was to determine how different information sources could work together to support operational decision-making.

Researchers also evaluated methods for coordinating multiple aircraft operating in the same airspace. As drones become more common in emergency response operations, maintaining awareness of aircraft activity is becoming increasingly important.

Turning data into operational decisions

Emergency managers must often evaluate large volumes of data while conditions continue to change. Aerial imagery, field reports, infrastructure assessments, and sensor data often arrive simultaneously during a major incident. Viewed independently, each source provides only part of the overall picture.

Researchers therefore focused on combining information from multiple sources into a shared situational picture.

Emergency responders accessed the resulting maps and data products through digital services and mapping tools to support operational planning and coordination. Artificial intelligence (AI) assisted with processing large datasets and identifying relevant information.

For emergency responders, the priority is receiving information they can act on rather than sorting through dozens of separate data feeds.

Infrastructure failures create secondary challenges

Disasters often affect more than the immediate area where damage occurs.

Flooding can disrupt transportation networks. Power outages can affect communications systems. Damaged infrastructure can complicate evacuation efforts and delay emergency response activities.

For that reason, the exercise also examined infrastructure resilience.

Researchers evaluated damage scenarios involving power systems and transportation networks while exploring methods for improving emergency-route planning and evacuation strategies.

The exercise underscored a growing emphasis on infrastructure resilience. Organizations are focusing on response capabilities and on the resilience of critical infrastructure.

Integrating sensors and communications systems

Recent disasters have shown how quickly responders can lose visibility when communications and transportation infrastructure fail.

In those environments, data often originates from multiple sources, including satellites, drones, robotic systems, field personnel, and infrastructure-monitoring networks. The challenge is ensuring that information reaches decision-makers quickly and in a format that supports operational planning.

Cloud-based information platforms and AI-assisted analysis tools are increasingly being used to help responders work from the same set of information. Exercises such as DLR's demonstration provide an opportunity to evaluate how those systems perform under realistic operating conditions before they are needed during an actual emergency.

Building resilience through connected systems

Rather than evaluating individual technologies in isolation, researchers focused on how connected systems could support emergency responders throughout an operation. The objective was to improve information sharing and provide decision-makers with a clearer understanding of rapidly changing conditions.

The exercise demonstrated that no single technology can solve the challenges associated with disaster response. Satellites, drones, robotic systems, communications networks, and analytical tools each contribute different information. Their effectiveness depends on how well those capabilities work together.