Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …

Abstract Purpose of Review Three-dimensional (3D) data on forest structure have
transformed the level of detail and accuracy of forest information. While these 3D data have …

The recent development of operational small unmanned aerial systems (UASs) opens the
door for their extensive use in forest map**, as both the spatial and temporal resolution of …

Airborne Laser Scanning (ALS), also known as Light Detection and Ranging (LiDAR)
enables an accurate three-dimensional characterization of vertical forest structure. ALS has …

Estimating forest structural attributes of planted forests plays a key role in managing forest
resources, monitoring carbon stocks, and mitigating climate change. High-resolution and …

Airborne laser scanning (ALS) has demonstrated utility for forestry applications and has
renewed interest in other forms of remotely sensed data, especially those that capture three …

We present a novel approach for the prediction of forest growing stock volume based on
explanatory variables from unmanned aerial vehicle (UAV) image photogrammetry without …

Digital aerial photogrammetry (DAP) is emerging as an alternate data source to airborne
laser scanning (ALS) data for three-dimensional characterization of forest structure. In this …

Surface models provide key knowledge of the 3-d structure of forests. Aerial stereo imagery
acquired during routine map** campaigns covering the whole of Switzerland (41,285 …

Abstract Purpose of Review The increasing availability of three-dimensional point clouds,
including both airborne laser scanning and digital aerial photogrammetry, allow for the …