New AI Satellite Technology Provides Real-time Disaster Monitoring

October 10, 2022 By Raulf Hernes

(Image Credit Google)

According to a New York Times article, a study of satellite pictures from 1979 shows that global warming has raised the likelihood of a hurricane growing into a Category 3 or higher storm with sustained winds of more than 110 mph by nearly 8% every ten years. To improve the analysis of upcoming weather disruptions, scientists have led efforts to broaden and advance the development of weather satellite sensors. In order to reduce major casualties, this will facilitate better government disaster response effort mobilization. Hurricane Ian, which was heading northeast on Thursday, Oct. 6, last week, was traveling at a speed of roughly 9 mph (15 kph). The Artemis 1 mission to the moon, which was scheduled to launch on the first Space Launch System rocket, has been delayed by NASA due to the storm. Real-time Disaster Monitoring (2)

Hurricane Ian, which left an unusually wide path of devastation, severely wrecked a large portion of South Florida. Satellite data and ground reports both clearly show this. Spatial and environmental experts swiftly offered a rare comprehensive perspective of the damage over the entire state using a cutting-edge method. Using a combination of images from four satellite sensors and pre-storm satellite photographs, the CONUS disturbance watcher is a catastrophe monitoring system that can map damage with a 30-meter resolution and refresh its data often. It appears that in the years to come, the satellite sensor system may experience significant advancements, becoming a more useful tool for mapping catastrophic ground damage. The potential for quicker, more targeted satellite disaster monitoring is hinted at by this. According to experts, it might eventually be applied nationally.

According to Interesting Engineering, comparable satellite technology has already been created in the past to identify high-risk locations for floods, wildfires, landslides, and other disasters as well as to assess the damage following these calamities. But AI technology does away with the requirement that sensors evaluate the most recent photographs of a single area at a time, unlike conventional satellite sensors. Experts are actively creating near real-time surveillance of the entire hurricane-prone United States in order to offer the most recent land data in the case of the next major disaster.

By Raulf Hernes

If you ask me raulf means ALL ABOUT TECH!!

New AI Satellite Technology Provides Real-time Disaster Monitoring

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