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

The advent of lidar has revolutionized the way we observe and measure vegetation structure
from the ground and from above and represents a major advance toward the quantification …

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

Random forest (RF) models were developed to estimate the biomass for the Pinus radiata
species in a region of the Basque Autonomous Community where this species has high …

This paper reviews LiDAR ground filtering algorithms used in the process of creating Digital
Elevation Models. We discuss critical issues for the development and application of LiDAR …

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

Laser altimetry (lidar) is a remote-sensing technology that holds tremendous promise for
mapping snow depth in snow hydrology and avalanche applications. Recently lidar has …

Experiences from Nordic countries and Canada have shown that the retrieval of the stem
volume and mean tree height of a tree or at stand level from laser scanner data performs as …

Fire researchers and resource managers are dependent upon accurate, spatially-explicit
forest structure information to support the application of forest fire behavior models. In …

Airborne laser scanning of forests has been shown to provide accurate terrain models and,
at the same time, estimates of multiple resource inventory variables through active sensing …