dc.contributor.author | Mohammadi-Aragh, Mahnas Jean | en_US |
dc.contributor.author | Fujisaki, Ikuko | en_US |
dc.contributor.author | Irby, Derek | en_US |
dc.contributor.author | Evans, David | en_US |
dc.contributor.author | Moorhead, Robert | en_US |
dc.contributor.author | Roberts, Scott | en_US |
dc.contributor.editor | Ken Brodlie and David Duke and Ken Joy | en_US |
dc.date.accessioned | 2014-01-31T06:52:08Z | |
dc.date.available | 2014-01-31T06:52:08Z | |
dc.date.issued | 2005 | en_US |
dc.identifier.isbn | 3-905673-19-3 | en_US |
dc.identifier.issn | 1727-5296 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/VisSym/EuroVis05/183-190 | en_US |
dc.description.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. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories 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 Phenomena | en_US |
dc.title | Visualization of Computer-Modeled Forests for Forest Management | en_US |
dc.description.seriesinformation | EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization | en_US |