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- 저자 : ( Lynn J. Talkasen ) (검색결과 3 건)
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Lynn J. Talkasen,Myeong Jun Kim,Dong Hyeon Kim,Dong Geun Kim,Kawn Hee Lee 강원대학교 산림과학연구소 2017 Journal of Forest Science Vol.33 No.3
The use of unmanned aerial vehicles (UAV) for the estimation of tree height is gaining recognition. This study aims to assess the effectiveness of tree height estimation of Pinus densiflora Sieb. et Zucc. and Pinus koraiensis Sieb. et Zucc. using digital surface model (DSM) generated from UAV-acquired imageries. Images were taken with the TrimbleⓇ UX5 equipped with Sony 5100. The generated DSM, together with the digital elevation model (DEM) generated from a digital map of the study areas, were used in the estimation of tree height. Field measurements were conducted in order to generate a regression model and carry out accuracy assessment. The obtained coefficients of determination (R2) and root mean square error (RMSE) for P. densiflora (R2=0.71; RMSE=1.00 m) and P. koraiensis (R2=0.64; RMSE=0.85 m) are comparable to the results of similar studies. The results of the paired two-tailed t-test show that the two tree height estimation methods are not significantly different (p-value=0.04 and 0.10, alpha level=0.01), which means that tree height estimation using UAV imagery could be used as an alternative to field measurement.
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Talkasen, Lynn J.,Kim, Myeong Jun,Kim, Dong Hyeon,Kim, Dong Geun,Lee, Kawn Hee Institute of Forest Science 2017 Journal of Forest Science Vol.33 No.3
The use of unmanned aerial vehicles (UAV) for the estimation of tree height is gaining recognition. This study aims to assess the effectiveness of tree height estimation of Pinus densiflora Sieb. et Zucc. and Pinus koraiensis Sieb. et Zucc. using digital surface model (DSM) generated from UAV-acquired imageries. Images were taken with the $Trimble^{(R)}$ UX5 equipped with Sony ${\alpha}5100$. The generated DSM, together with the digital elevation model (DEM) generated from a digital map of the study areas, were used in the estimation of tree height. Field measurements were conducted in order to generate a regression model and carry out accuracy assessment. The obtained coefficients of determination (R2) and root mean square error (RMSE) for P. densiflora (R2=0.71; RMSE=1.00 m) and P. koraiensis (R2=0.64; RMSE=0.85 m) are comparable to the results of similar studies. The results of the paired two-tailed t-test show that the two tree height estimation methods are not significantly different (p-value=0.04 and 0.10, alpha level=0.01), which means that tree height estimation using UAV imagery could be used as an alternative to field measurement.
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KFS-P12 : Understanding Participatory Forest Management for Sustainable Forest Management
( Lynn J. Talkasen ),( Dong Geun Kim ) 한국임학회 2014 산림과학 공동학술대회 논문집 Vol.2014 No.-
A review of literature on Participatory Forest Management (PFM) with focus on the planning stage in developed countries was conducted. This was done to have an overview on PFM. Participation in forest management in other countries, in the United States in particular, is mandatory as provided for in forest laws. The reasons for implementing PFM are varied, and the same is true for the approaches or techniques, though no particular approach could be labeled to be the best in all situations. The implementation of PFM is also complicated. There are a number of problems which were enumeration in various papers on participatory management, the more evident problems are: identifying the public; priorities and conflicts; decision-making power determination; and statutory drawbacks. Suggested precautionary activities to minimize if not to totally prevent problems in the implementation of PFM are: definition of who will be the ``public`` or ``participants`` including the process of identifying them; making the ``public`` aware of the objective of the activity: whether it will just be an information dissemination activity, will their inputs be needed, or will they be given a certain degree of power during decision-making; and determine what weight will be accorded to their opinions during the actual decision-making process.
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