Researchers have developed a machine learning-based ensemble approach to quantify fire-induced thaw settlement across the entire Tanana Flats in Alaska, which encompasses more than 3 million acres. They linked airborne repeat lidar data to time-series Landsat products (satellite images) to delineate thaw settlement patterns across six large fires that have occurred since 2000. The six fires resulted in a loss of nearly 99,000 acres of evergreen forest from 2000 to 2014 among nearly 155,000 acres of fire-influenced forests with varying degrees of burn severity. This novel approach helped to explain about 65 percent of the variance in lidar-detected elevation change.

Source link