Automated individual tree crown detection and delineation (ITCD) using remotely sensed
data plays an increasingly significant role in efficiently, accurately, and completely …

Background Plants alter their environment in a number of ways. With correct management,
plant communities can positively impact soil degradation processes such as surface erosion …

Canopy height models (CHMs) derived from lidar data have been applied to extract forest
inventory parameters. However, variations in modeled height cause data pits, which form a …

Map** tree crown is critical for estimating the functional and spatial distribution of
ecosystem services. However, accurate and up-to-date urban crown map** remains a …

Vegetation on the banks and flooding areas of watercourses significantly affects energy
losses. To take the latter into account, computational models make use of resistance …

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 …

This work proposes a segmentation method that isolates individual tree crowns using
airborne LiDAR data. The proposed approach captures the topological structure of the forest …

Abstract Canopy Height Models (CHMs) or normalized Digital Surface Models (nDSM)
derived from LiDAR data have been applied to extract relevant forest inventory information …

Accurate, cost-effective monitoring and management of young forests is important for future
stand quality. There is a critical need for a rapid assessment tool for forest monitoring and …

The presence of shrub vegetation is very significant in Mediterranean ecosystems. However,
the difficulty involved in shrub management and the lack of information about behavior of …