 This study compared two methods for identifying individual trees in a mixed conifer forest in California's Sierra Nevada region. One method used light detection and ranging LiDAR data, while the other used worldview, two satellite imagery combined with the canopy height model, CHM. Both methods were able to detect individual trees with high accuracy, but the LiDAR approach produced more accurate measurements of tree heights and shapes than the CHM approach. Additionally, the LiDAR approach produced fewer, more complex, and larger polygons that better represented the actual structure of the forest. This article was authored by Maggie Kelly, Qinghua Guo, Wenkai Li, and others.