Currently, climate change poses a global threat, which may compromise the sustainability of
agriculture, forestry and other land surface systems. In a changing world scenario, the …

Remote sensing techniques, developed over the past four decades, have enabled large-
scale forest inventory. Light Detection and Ranging (LiDAR), as an active remote sensing …

Ideal for both undergraduate and graduate students in the fields of geography, forestry,
ecology, geographic information science, remote sensing, and photogrammetric …

We present the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and
Ranging (UAV-LiDAR) system and an accompanying workflow to produce 3D point clouds …

The paper highlights recent results of forest structure analysis at single tree level based on
analyzing airborne full waveform LiDAR data. Single trees are automatically detected by a …

The demand for detailed ground reference data in quantitative forest inventories is growing
rapidly, eg, to improve the calibration of the developed models of airborne-laser-scanning …

As light detection and ranging (LiDAR) technology advances, it has become common for
datasets to be acquired at a point density high enough to capture structural information from …

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 …

LiDAR individual tree detection (ITD) is a promising tool for measuring forests at a scale that
is meaningful ecologically and useful for forest managers. However, most ITD research …

We present two improvements for laser-based forest inventory. The first improvement is
based on using last pulse data for tree detection. When trees overlap, the surface model …