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Extraction of Spatial Information of Tree Using LIDAR Data in Urban Area  

Cho, Du-Young (남서울대학교 지리정보공학과)
Kim, Eui-Myoung (남서울대학교 지리정보공학과)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.18, no.4, 2010 , pp. 11-20 More about this Journal
Abstract
In situation that carbon dioxide emissions are being increased as urbanization, urban green space is being promoted as an alternative to find solution for these problems. In urban areas, trees have the ability to reduce carbon dioxide as well as to be aesthetic effect. In this study, we proposed the methodology which uses only LIDAR data in order to extract these trees information effectively. To improve the operational efficiency according to the extraction of trees, the proposed methodology was carried out using multiple data processing such as point, polygon and raster. Because the existing NDSM(Normalized Digital Surface Model) contains both the building and tree information, it has the problems of high complexity of data processing for extracting trees. Therefore, in order to improve these problems, this study used modified NDSM which was removed estimate regions of building. To evaluate the performance of the proposed methodology, three different zones which coexist buildings and trees within urban areas were selected and the accuracy of extracted trees was compared with the image taken by digital camera.
Keywords
LIDAR; Tree Information; Normalized Digital Surface Model; Region Estimated Buildings; Carbon Dioxide;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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