Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …

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 …

Topographic Laser Ranging and Scanning, Second Edition, provides a comprehensive
discussion of topographic LiDAR principles, systems, data acquisition, and data processing …

Abstract Characterization of individual trees is essential for many applications in forest
management and ecology. Previous studies relied on single tree detection from …

This paper depicts an approach for predicting individual tree attributes, ie, tree height,
diameter at breast height (DBH) and stem volume, based on both physical and statistical …

This is a review of the latest developments in different fields of remote sensing for forest
biomass mapping. The main fields of research within the last decade have focused on the …

In this paper, we propose a new two-stage methodology that combines the ensemble
empirical mode decomposition (EEMD) with multidimensional k-nearest neighbor model …

Fire hazard reduction treatments are commonly applied to mixed-species coniferous forests
in western Montana, USA, to modify fuels structures and alter the competitive environments …

In a mixed temperate forest landscape in southwestern Germany, multiple remote sensing
variables from aerial orthoimages, Thematic Mapper data and small footprint light detection …

Various studies have been presented within the last 10 years on the possibilities for
predicting forest variables such as stand volume and mean height by means of airborne …