What NowCast Offers
Respond in real-time
Use NowCast to build a common operating platform and maintain situational awareness as a flood unfolds.
Enhance decision making with live intelligence on impacted people, property and critical infrastructure. Coordinate a targeted response in the moments that matter.
Why Choose NowCast
Respond efficiently and confidently
Gather and maintain dynamic situational awareness
Rapidly understand and assess emerging social, infrastructure and economic impacts
Close flooded roads and coordinate safe evacuation routes
Create a common operating picture
Share data and intelligence across agencies, teams and organizations
Start proactive planning for inter-agency response and recovery
Send localized and personalized alerts to communities most at risk
Prioritize and target assets most impacted
Visualize and understand flood hazard impacts at a property level resolution
Plan at a state-wide scale and deploy locally to ensure optimal use of resources
Triage operations to render assistance to those most impacts
Live flood mapping at your fingertips
With NowCast, you can:
Case Study
City of Norfolk - live traffic routing
Background
The Hamptons Roads suffer from frequent flooding due to sea level rise, subsidence, strong winds, and high intensity rainfall events. Furthermore, Hurricane events can bring storm-surge and widespread rainfall.
Problem
In the City of Norfolk, Virginia, flooding causes significant disruptions to transport, affecting private, commercial, and emergency vehicles as well as public transport.
There is a lack of situational awareness on the exact location and severity of the flooding, which roads are closed or impassible, and how to navigate around the hazards.
Solution
FloodMapp NowCast was deployed across the City to simulate coastal, riverine and pluvial flooding in real-time with an hourly refresh rate based on real-time data from USG’s, NOAA NWS, and City Sensors.
NowCast was coupled with our analytics product, RoadSafe, to provide the City and residents with vital intelligence on flooded roads and navigation.
“As our streets flood more often due to climate change, we need to find a sustainable way to alert community members about the risks they face. 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
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Discover how else FloodMapp can help
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.
