Accurate individual tree crown (ITC) segmentation from scanned point clouds is a
fundamental task in forest biomass monitoring and forest ecology management. Light …

Robotics navigation and perception for forest management are challenging due to the
existence of many obstacles to detect and avoid and the sharp illumination changes …

Traditional methods for individual tree-crown (ITC) detection (image classification,
segmentation, template matching, etc.) applied to very high-resolution remote sensing …

Unmanned aerial vehicle (UAV)-borne light detection and ranging (LiDAR) scanners have
been adopted as a promising instrument for plant parameter estimation in agricultural …

In forest areas, when using interferometric synthetic aperture radar (InSAR) technique to
extract subcanopy topography, a key problem is how to reduce the impact of the forest …

Accurate identification of tree species is the foundation of forest resource surveys and an
important research field in forestry remote sensing. The introduction of the PointNet++ deep …

High-resolution laser scans from unmanned aerial vehicles (UAV) provide a highly detailed
description of tree structure at the level of fine branches. Apart from ultrahigh spatial …

Forest canopy height is an important forest indicator parameter. Synthetic aperture radar
tomography (TomoSAR) is an effective method to characterize forest canopy height and …

This article presents a multichannel ground-based bistatic synthetic aperture radar (SAR)
receiver architecture designed to perform single-pass tomography using the Sentinel-1 …

TanDEM-X bistatic interferometric system successfully generated a high-precision, high-
resolution global digital elevation model (DEM). However, in forested areas, two core …