Visualization of Computer-Modeled Forests for Forest Management
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Date
2005
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Forest management is a costly and time-consuming activity. Remote sensing has the potential to improve the process by making it cheaper and more efficient, but only if appropriate characteristics can be determined from computer-models. This paper describes the implementation of a forest visualization system and a corresponding user study that tests the accuracy of parameter estimation and forest characterization. The study uses data obtained from field-surveys to generate a computer-modeled forest. Five different stands were tested. Based on the quantitative results obtained, generally, there is no statistically significant difference in parameter estimation when comparing field-recorded videos and computer-generated videos.
Description
@inproceedings{:10.2312/VisSym/EuroVis05/183-190,
booktitle = {EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization},
editor = {Ken Brodlie and David Duke and Ken Joy},
title = {{Visualization of Computer-Modeled Forests for Forest Management}},
author = {Mohammadi-Aragh, Mahnas Jean and Fujisaki, Ikuko and Irby, Derek and Evans, David and Moorhead, Robert and Roberts, Scott},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1727-5296},
ISBN = {3-905673-19-3},
DOI = {/10.2312/VisSym/EuroVis05/183-190}
}