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The generation of high resolution canopy height model (CHM) from LiDAR makes it possible to delineate individual tree crown by means of a fully-automated method using the CHM’s curvature through its s...
Forest canopy density and height are used as variables in a number of environmental applications, including the estimation of biomass, forest extent and condition, and biodiversity. The airborne Light...
Airborne LiDAR (Light Detection and Ranging) data have a high potential to provide 3D information from trees. Most proposed methods to extract individual trees detect points of tree top or bottom firs...
With the advent of a new generation of high resolution satellites, images are now available with less than 1 meter spatial resolution in panchromatic mode. For successful individual tree crown ident...
This paper presents a method for using high detail volumetric information, captured with a land based photogrammetric survey, to obtain information from individual trees. Applying LIDAR analysis tech...
The analysis of individual trees is an important field of research in the forest remote sensing community. While the current state-of-theart mostly focuses on the exploitation of optical imagery and a...
PREDICTABILITY OF INDIVIDUAL MASS MOVEMENTS FROM SPATIAL DATABASES FOR HAZARD MAPPING.
Estimation of tree heights for large territories is either expensive if done in the field or imprecise when accomplished through automated stereophotogrammetry. While scanning laser altimetry provides...
Individual tree crown parameters and tree height are desirable in forest inventory and ecological studies to estimate forest carbon stocks and volume acculately. In this study, a new method to detect ...

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