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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...
In this paper, a new procedure for individual tree detection and modeling is presented. The input of this procedure consists of a normalized digital surface model NDSM, and a possibly error-prone clas...
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...
In forest area, there are few landmarks to be ground control points (GCPs) used for registration of satellite images or maps. Additionally,geographic information from the Global Positioning System (GP...
Laser scanning or LiDAR data are increasingly used in forestry applications but also e.g. in urban environments or for building reconstructions. Huge point clouds are usually converted to a grid or ar...
Extraction of individual tree crown objects in urban areas using available VHR space-borne imaging systems remains a challenging image processing task mainly because of two factors: the limited spectr...
Municipalities need information on the location and state of the trees in their area, to maintain and manage these resources. Trees defined and handled as objects would therefore better match this inf...
Municipalities need accurate and updated inventories of urban vegetation in order to manage green resources and estimate the profit of urban forestry activities. Earlier studies using high resolution ...
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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