An Object-Oriented Approach to Forest Volume and Aboveground Biomass Modeling using Small-Footprint Lidar Data for Segmentation, Estimation, and Classification

An Object-Oriented Approach to Forest Volume and Aboveground Biomass Modeling using Small-Footprint Lidar Data for Segmentation, Estimation, and Classification

This study assessed the utility of an object-oriented approach to deciduous and coniferous forest volume and above ground biomass estimation, based solely on small-footprint, multiple return lidar data. The study area is located in Appomattox Buckingham State Forest in the Piedmont physiographic pr...

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Bibliographic Details
Main Author:	van Aardt, Jan Andreas Nicholaas
Other Authors:	Forestry
Format:	Others
Published:	Virginia Tech 2011
Subjects:	forest volume and above-ground biomass lidar distributions Object-oriented hierarchical segmentation multiresolution classification
Online Access:	http://hdl.handle.net/10919/11238 http://scholar.lib.vt.edu/theses/available/etd-08252004-090044

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