Live Flood Maps
Ultimate situational awareness
Street-level flood intelligence delivered as a live mapping feed before, during, and after a flood. Enhance your preparedness, response and recovery today.
Why Choose FloodMapp
Street level accuracy
Providing precise information, down to 1-meter resolution, enabling more targeted and efficient deployment of resources.
Purpose built
Developed specifically for emergency managers to deliver rapid access to critical impact data.
Integrates into existing GIS software
Seamlessly integrate into your existing GIS platforms such as ESRI, facilitating an efficient and familiar workflow.
Data in real-time
Empowering emergency managers with timely information to make swift decisions.
Testimonials
"FloodMapp’s technology provides affordable, citywide situational awareness that current solutions, such as sensor networks alone, don’t offer."
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Kyle Spencer
Deputy Resilience Officer, City of Norfolk
“I look forward to exploring with FloodMapp how their predictive and real-time flood analysis can improve our understanding of major flood events as they unfold....”
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Jeffrey Jackson
Acting Assistant Administrator for Federal Insurance, FEMA
“This will help emergency responders and the public take appropriate action ahead of a flood event, support flood response activities and enable post-flood analysis to streamline community recovery.”
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Judge Bill Gravell
Williamson County
Partnerships
FloodMapp x Genasys
FloodMapp and Genasys are excited to announce a strategic partnership to enhance emergency preparedness and response.
By combining FloodMapp’s live, impact-based forecasting and flood intelligence with Genasys' state-of-the-art communication and alerting systems, this partnership empowers emergency managers to make faster, more informed decisions before and during flood events—helping to safeguard lives, minimize risk, and strengthen community resilience.
Already a customer?
At FloodMapp, we're dedicated to your satisfaction. Need assistance? Our experienced staff are ready to help.
Submit a support request for tailored assistance with any issues or to share your feedback. Your satisfaction is our priority, and we're committed to resolving your concerns promptly.
Reach out today and let us assist you in ensuring a positive experience with FloodMapp.
In the News
FAQ
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What is FloodMapp's point of difference?We offer a world-first model for scalable, real-time flood mapping. Our proprietary modelling software, DASH, delivers street level flood impact extents across whole states or countries. Where current flood warnings advise of the time and height of a predicted flood peak, our model will predict which specific properties or assets on a street will be impacted or show those that currently are or were previously impacted. FloodMapp’s products support all phases of the emergency management process, enabling situational awareness before, during and after a flood. We’re different because we understand that every flood is different and dynamic. We focus on modelling all phases of a flood event to answer the questions "Where is it going to flood, and what people, property and critical infrastructure will be impacted?”, "What is the extent of the flooding right now?" and "What was the maximum extent of the flood?" We bridge the gap in situational awareness by providing automatic updates of flood impact extent every hour, 24/7, as the flood event unfolds.
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What locations do you provide coverage in?We have growing operational coverage in Australia and the United States, with new regions coming online each week. If you are interested in other areas of the world, please contact us to register your interest.
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How accurate are your results?Our products are built for emergency managers and their peers, with a focus on modelling flood extents in real-time to provide round-the-clock situational awareness. We validate our models based on a variety of publicly and client-provided sources. A large-scale review showed FloodMapp models correctly identify up to 85% of inundated properties, when compared to state government damage assessment datasets.
