DepthCanopyNet: Toward High-Precision Canopy Height Mapping via Gradient-Enhanced Learning Using Single UAV Optical Imagery (opens in new tab)

Tree height is a key indicator in both forestry ecosystems and tree breeding. Thus, accurately and rapidly monitoring the height distribution and dynamic changes of individual trees and forest stands is of vital importance. With the advancement of deep learning, there has been growing attention on canopy height mapping using a single remote sensing image. However, current research primarily relies on satellite or airborne laser scanning (ALS) data for wall-to-wall canopy estimation. In recent...