AI Technology and Lasers Aid in Assessing Hurricane-Induced Forest Damage

Researchers at the University of Florida Institute of Food and Agricultural Sciences (UF/IFAS) have developed a groundbreaking technology using lasers and artificial intelligence to assess forest damage caused by hurricanes. Dr. Carlos Silva, an assistant professor at UF/IFAS, and his team have created a new way to evaluate the impact of hurricanes on forests quickly and efficiently.

Traditionally, assessing hurricane damage involved physically going into the field, establishing plots, and measuring trees. However, Silva and his team wanted to revolutionize this process by utilizing remote-sensing methods and AI technology.

Using NASA satellites and a remote-sensing method called lidar, Silva’s team scanned trees on the ground to collect data. They also used lidar scanners attached to backpacks and vehicles to gather additional information. This data was then used to generate three-dimensional maps of forests before and after hurricanes.

By combining ground data with satellite imagery and using artificial intelligence, the researchers created an online mapping platform that shows the impact of Hurricane Ian on Florida’s forests. This tool can help with planning restoration activities, insurance claims, and management decisions following natural disasters.

The team hopes that their innovative mapping platform will be a valuable resource during the upcoming hurricane season. Anyone can access the maps online, providing a new tool to aid in post-hurricane recovery efforts. This technology has the potential to make a significant impact in the field of forest management and disaster response.