Adaptive algorithm for large scale dtm interpolation from lidar data for forestry applications in steep forested terrain

Light Detection and Ranging (lidar) has become a valuable tool in forest inventory because it yields accurate measurements of tree heights. However, tree height can be accurate only if the height of the ground, i. e., the Digital Terrain Model (dtm) is first accurately established.