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Economic Balance of a Clearcutting Operation Using Terrestrial LiDAR

Journal Name:

  • European Journal of Forest Engineering

Publication Year:

  • 2016

Key Words:

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
The present study verified terrestrial LiDAR data measured at a clearcutting operation site of the Funyu Experimental Forest, Utsunomiya University, Japan. The economic balance of the operation was analyzed with time studies. Finally, the economic balances estimated using terrestrial LiDAR data and an optimal bucking algorithm were compared. The root mean squared errors (RMSEs) between top end diameters of logs that were obtained below 10 m and measured using manual and terrestrial LiDAR were within 2 cm. Log diameters were normally rounded to 2 cm; therefore, the RMSEs were within allowable ranges. However, RMSEs were increased according to an increase in top end heights because of branches. Furthermore, the understory vegetation also disrupted laser scanning. The economic balance considering sweep from terrestrial LiDAR was estimated. As a result, the profit was estimated to be USD 96,797/ha, which was close to that estimated by manually measured data, at USD 90,235/ha. Without considering sweep, profit was overestimated as USD 116,306/ha. The use of an optimal bucking algorithm improved the profit to USD 126,536/ha.
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REFERENCES

References: 

Acuna, M., Murphy, G. and Rombouts, J., 2009.
Determining Radiata pine tree value and log product
yields using terrestrial LiDAR and optimal bucking
in South Australia. COFE.
Akay, A. E., Sessions, J., Serin, H., Pak, M. and
Yenilmez, N., 2010. Applying optimum bucking
method in producing Taurus Fir (Abies cilicica) logs
in Mediterranean region of Turkey. Baltic Forestry.
16(2): 273-279.
ANRE, 2012. Settlement of the Details of the Feed-in
Tariff Scheme for Renewable Energy, including
purchase price and surcharge rates.
http://www.meti.go.jp/english/press/2012/0618_01.h
tml (Accessed: 18 June 2012).
Forestry Agency of Japan, 2009. Annual Report on
Forest and Forestry in Japan. Fiscal Year 2008
(Summary). Forestry Agency of Japan, Tokyo.
Haynes, H.J.G. and Visser, R.J.M., 2004. An applied
hardwood value recovery study in the Appalachian
Region of Virginia and West Virginia. International
Journal of Forest Engineering. 15(1): 25-31.
Ito, T., Matsue, K., Shuin, Y. and Naito, K., 2011.
Estimating individual stem volumes of Sugi and
Hinoki with different densities using airborne
LiDAR. Journal of the Japan Society of
Photogrammetry and Remote Sensing. 50(1): 18-26.
Kato, A., Ando, Y., Yoshida, T., Kajiwara, K., Honda,
Y. and Kobayashi, T., 2014a. Method to create
forest inventory using portable terrestrial laser.
Journal of the Japanese Society of Revegetation
Technology. 40(1): 136-141.
Kato, A., Ishii, H., Enoki, T., Osawa, A., Kobayashi, T.,
Umeki, K., Sasaki, T. and Matsue, K., 2014b.
Application of laser remote sensing to forest
ecological research. Journal of the Japan Forest
Society. 96(3): 168-181.
Murphy, G.E., Acuna, M.A. and Dumbrell, I., 2010.
Tree value and log product yield determination in
radiate pine plantations in Australia: comparisons of
terrestrial laser scanning with a forest inventory
system and manual measurements. Canadian Journal
of Forest Research 40: 2223-2233.
Nagumo, H., Shiraishi, N. and Tanaka, M., 1981.
Systematic method for constructing a yield table for
Sugi even-aged stand: A case study in experimental
plots of the Tokyo University Forest in Chiba.
Bulletin of Tokyo University Forest. 71: 269-330.
Nakahata, C., Aruga, K. and Saito, M., 2014.
Examining the optimal bucking method to maximize
profits in commercial thinning operations in
Nasunogahara Area, Tochigi Prefecture, Japan.
Croat.J.For.Eng.. 35(1): 45-61.
Nakajima, T., Matsumoto, M. and Tatsuhara, S., 2008.
Application of an algorithm to maximize stumpage
price. Kanto Forest Research. 59: 55-58.
Nakajima, T., Matsumoto, M. and Tatsuhara, S., 2009.
Development and application of an algorithm to
calculate cross-cutting patterns to maximize
stumpage price based on timber market and stand
conditions: A case study of Sugi plantations in
Gunma Prefecture. Japan Journal of Forest
Planning. 15: 21-27.
Olsen, E., Pilkerton, S., Garland, J. and Sessions, J.,
1991. Computer-aided bucking on a mechanized
harvester. Journal of Forest Engineering. 2(2): 25-
32.
Omasa, K., Urano, Y., Oguma, H. and Fujinuma, Y.
2002. Mapping of tree position of Larix leptolepis
woods and estimation of Diameter at Breast Height
(DBH) and biomass of the trees using range data
measured by a portable scanning Lidar. Journal of
the Remote Sensing Society of Japan. 22(5):550-557.
Sessions, J., Garland, J. and Olsen, E., 1989. Testing
computer-aided bucking at the stump. Journal of
Forestry. 87(4): 43-46.
Urano, Y. and Omasa, K., 2003. Error estimation about
the biomass of Japanese Cedar (Cryptomeria
japonica) woods measured by a portable scanning
Lidar. Eco-engineering. 15(2): 79-85.
Wang, J., Liu, J. and LeDoux, C.B., 2009. A threedimensional
bucking system for optimal bucking of
central Appalachian hardwoods. International
Journal of Forest Engineering. 20(2): 26-35.
Yoshida, S. and Imada, T., 1989. Stem cross-cutting
algorithm based on log unit price. Bulletin of Faculty
Agriculture, Kagoshima University. 39: 319-329.
Yoshimi, K., Hosoi, F., Shimizu, Y., Yamada, H. and
Omasa K., 2004. 3-D measurement of terrain and
woody canopy height using a portable scanning
Lidar. Eco-engineering. 16(3): 203-207.

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