PNNL Researchers Using AI to Aid Disaster Response & Recovery, esearchers are using AI techniques to predict wildfires, hurricanes
, researchers are advancing AI and exploring its ability to accelerate scientific discovery, deepen understanding of complex issues, and improve operations and emergency response.
With funding from government sponsors, researchers at PNNL developed a software tool called RADR to provide situational awareness and damage assessments within hours of a natural disaster or other emergency. RADR combines image-capturing technology, artificial intelligence and cloud computing to assess damage and predict risks.
RADR does this by ingesting and analyzing overhead imagery and other data captured by drones, planes and various government and commercial satellites. Some of this data includes infrared and radar-based imagery that provides a clearer view of landscapes obscured by smoke or clouds. The team also is researching the addition of crowd-sourced information such as social media feeds.
This video delves into how researchers at PNNL used their remote sensing analytics expertise to develop a technology that provides rapid damage assessments for natural disasters.
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