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 …

The ability to use digital remotely sensed data for forest inventory is often limited by the
nature of the measures, which, with the exception of multi-angular or stereo observations …

Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …

The identification of tree species is an important issue in forest management. In recent years,
many studies have explored this topic using hyperspectral, multispectral, and LiDAR data. In …

Tree species mapping in forest areas is an important topic in forest inventory. In recent
years, several studies have been carried out using different types of hyperspectral sensors …

Tropical forests account for approximately half of above-ground carbon stored in global
vegetation. However, uncertainties in tropical forest carbon stocks remain high because it is …

Plant functional traits have been extensively used to describe, rank and discriminate species
according to their variability between species in classical plant taxonomy. However, the …

Numerous airborne LiDAR-derived metrics have been proposed for classifying tree species.
Yet an in-depth ecological and biological understanding of the significance of these metrics …

Single photon lidar (SPL) is an innovative technology for rapid forest structure and terrain
characterization over large areas. Here, we evaluate data from an SPL instrument-the High …

Functional diversity (FD) provides a link between biodiversity and ecosystem functioning,
summarizing inter-and intra-specific variation of functional traits. However, quantifying plant …