MSU uses 3D mapping technology and AI simulations for forest management

Researchers are using digital technology to improve forest management strategies.

Michigan State University scientists have employed a 3-D mapping technology called LIDAR—which stands for light detection and ranging—to make a digital model of a pine plantation.

Dave Carter is an assistant professor of Silviculture at MSU. He says LIDAR can survey areas faster than foresters.

“In terms of area, that person may only cover like 1% to 5% of the total stand, whereas a LIDAR measurement would conceivably cover like the whole stand aerially, and maybe accurately count and measure 90% to 95% of the trees in some cases.”

After LIDAR scans are uploaded, an AI model simulates different management strategies and finds the most effective ways to remove or apply treatments to trees, or even predict the effects of tree thinning.

“And we were just trying to demonstrate that that workflow was possible, where you could take that simulated thinning, pass it off to a model, have it project what the future yield would be as a result of your thinning, and then do that a number of times and figure out which method is best.”

Carter says AI can be faster and more precise than traditional methods of thinning, saving time and money. He says this technology could eventually be used by tree farmers as well as conservationists