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http://dx.doi.org/10.7780/kjrs.2006.22.6.543

Estimation of Individual Tree and Tree Height using Color Aerial Photograph and LiDAR Data  

Chang, An-Jin (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Kim, Yong-Il (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Lee, Byung-Kil (TAS Tech Co., Ltd.)
Yu, Ki-Yun (School of Civil, Urban & Geosystem Engineering, Seoul National University)
Publication Information
Korean Journal of Remote Sensing / v.22, no.6, 2006 , pp. 543-551 More about this Journal
Abstract
Recently efforts to extract information about forests by using remote sensing techniques for efficient forest management have progressed actively. In terms of extraction of tree information using single remote sensing data, however, the accuracy of tree recognition and the quantity of extracted information is limited. The objective of this study is to carry out tree modeling in domestic environment applying the latest core technique for tree modeling using color aerial photographs and LiDAR data and to estimate the result of tree modeling. A small-scale coniferous forest was investigated in Daejeon. It was 0.77 that the $R^2$ of accuracy test of tree numbers that estimated with color aerial photography and LiDAR data. In terms of tree height, there was no difference between the estimated value and the field measurements in the case of the group accuracy test of the recently unchanged area. Moreover $R^2$ was 0.83 in the case of the individual accuracy test.
Keywords
Aerial photography; LiDAR(Light Detection and Raging); tree numbers; tree height;
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Times Cited By KSCI : 1  (Citation Analysis)
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