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dc.contributor.authorMohammadi-Aragh, Mahnas Jeanen_US
dc.contributor.authorFujisaki, Ikukoen_US
dc.contributor.authorIrby, Dereken_US
dc.contributor.authorEvans, Daviden_US
dc.contributor.authorMoorhead, Roberten_US
dc.contributor.authorRoberts, Scotten_US
dc.contributor.editorKen Brodlie and David Duke and Ken Joyen_US
dc.date.accessioned2014-01-31T06:52:08Z
dc.date.available2014-01-31T06:52:08Z
dc.date.issued2005en_US
dc.identifier.isbn3-905673-19-3en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/EuroVis05/183-190en_US
dc.description.abstractForest 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.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Applications; General Terms: Verification; Additional Keywords and Phrases: Scientific Visualization, Forest Management, Natural Phenomenaen_US
dc.titleVisualization of Computer-Modeled Forests for Forest Managementen_US
dc.description.seriesinformationEUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualizationen_US


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