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http://dx.doi.org/10.12672/ksis.2014.22.5.053

3D Visualization of Forest Information Using LiDAR Data and Forest Type Map  

Bang, Eun-Gil (Dept. of GeoInformatics, University of Seoul)
Yoon, Dong-Hyun (Dept. of GeoInformatics, University of Seoul)
Koh, June-Hwan (Dept. of GeoInformatics, University of Seoul)
Publication Information
Spatial Information Research / v.22, no.5, 2014 , pp. 53-63 More about this Journal
Abstract
As recent interest in ecological resources increases, an effort in three-dimensional visualization of the ecological resources has increased for the restoration and preservation of the natural environment as well as the evaluation of the landscape. However, in the case of forest resources, information extraction has been active, but the effort in trying to apply that information into an effective visualization has not happened. In other words, the effort for effective visualization is lacking when it comes to the visualization of forest resources, and numerous cases are ether non-realistic or the simulation required for analysis is inappropriate. Therefore, this paper extracts information through the use of airborne LiDAR data, aerial photograph, and forest type maps to create a vegetation layer, and then uses Flora3D forest modeling tools and ArcGlobe to accurately visualize the vegetation layer into the three dimension. An effective application for restoration and preservation of ecological resources as well as analysis on the urban landscape can be considered as a result of intuitively and realistically enabling the user's awareness of forest information within the Geographic Information System.
Keywords
Visualization; Vegetation Modeling; LiDAR; Forest Type Map;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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1 Charlie, Y; Peter, B; Paul, K; Adam, R. 2011, Environmental Visualization And 3D Modeling to Support Stream And Watershed Restoration In The Appalachians, Mid-Atlantic Stream Restoration Conference.
2 Cho, D. Y; Kim, E. M. 2012, Extraction of Street Tree Information Using Airborne LIDAR Data, Journal of Korea Spatial Information Society, 20(6): 45-57.   과학기술학회마을   DOI   ScienceOn
3 Choi, Y. W; Choi, N. I; Lee, J. W; Cho G. S. 2005, Accuracy Assessment of Ground Information Extracting Method from LiDAR Data, Journal of the Korea Society for Geospatial Information System, 14(4):19-26.   과학기술학회마을
4 Flora3d Web Homepage, URL: http://flora3d.net (Last Date Accessed: 1 July 2014).
5 Hofle, B; Hollaus, M. 2010, Urban Vegetation Detection Using High Density Full-Waveform Airborne LiDAR Data-Combination of Object-Based Image and Point Cloud Analysis, IAPRS 38(Part7B):281-286.
6 Forest Geospatial Information Service, URL: http://fgis.forest.go.kr/, Korea Forest Service, (Last Date Accessed: 6 October 2014).
7 Haans, F; Paul, M; Steven, D. 2009, Derived Lidar products and forestry applications: Crawford study area-White Mountain National Forest, Report: RSAC-0999-BRIEF3. Salt Lake City, UT: U.S. Department of Agriculture Forest Service, Remote Sensing Applications Center.
8 Harald, S; Oliver, S; Hannes, R; Andreas, W; Alexander A. 2005, Automac 3D Visualization of Geo-Information for Fireprevention in European Mediterranean Areas, Joanneum Research, Institute of Digital Image Processing.
9 Jun, G; Zheng, N. 2010, Single Tree Modeling and Vegetation Visualization Using Lidar Data, Institute of Remote Sensing Applications, Chinese Academy of Sciences.
10 Kim, D. Y; Jang, Y. W; Kim, J. N; Park, S. K; Cho, G. S. 2009, A Study on Forest Information Extraction using Airborne LiDAR Data, Korean Society of Civil Engineers, 35(438):1575-1578.
11 Kim, E. M. 2013, Extraction of the Tree Regions in Forest Areas Using LIDAR Data and Orthoimage, Journal of the Korean Society for Geospatial Information System 21(2):27-34.
12 Lidar Remote Sensing of Forest, URL: http://faculty.ucmerced.edu/qguo/publications/OnePager_Lidar.pdf, Spatial Analysis and Remote Sensing Lab, Sierra Nevada Research Institute, School of Engineering, UC Merced, (Last Date Accessed: 10 October 2014)
13 Zhang, K; Whitman, D. 2005, Comparison of Three Algorithms for Filtering Airborne Lidar Data, Photogrammetric Engineering & Remote Sensing, 71(3):313-324.   DOI
14 Wikipedia, URL: http://en.wikipedia.org/wiki/Rulebased_modeling (Last Date Accessed: 6 October 2014).
15 Yoon, J. S; Lee, K. S; Shin, J. I; Woo C. S. 2006, Characteristics of Airborne Lidar Data and Ground Points Separation in Forested Area, Korean Journal of Remote Sensing, 22(6): 533-542.   과학기술학회마을   DOI