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Year 2016, Volume: 2 Issue: 1, 1 - 10, 05.09.2016

Abstract

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.html (Accessed: 18 June 2012).
  • 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. Croatian Journal of Forest Engineering 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.
  • Rossmann, J., Schluse, M., Schlette, C., Buecken, A., Krahwinkler, P. and Emde, M., 2010. Data fusion based multi-sensor system for high accuracy forest management. Journal of Forest Planning 16: 263-271.
  • 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 three-dimensional 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.

Economic Balance of a Clearcutting Operation Using Terrestrial LiDAR

Year 2016, Volume: 2 Issue: 1, 1 - 10, 05.09.2016

Abstract




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.
    




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.html (Accessed: 18 June 2012).
  • 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. Croatian Journal of Forest Engineering 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.
  • Rossmann, J., Schluse, M., Schlette, C., Buecken, A., Krahwinkler, P. and Emde, M., 2010. Data fusion based multi-sensor system for high accuracy forest management. Journal of Forest Planning 16: 263-271.
  • 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 three-dimensional 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.
There are 20 citations in total.

Details

Subjects Engineering
Journal Section Research Articles
Authors

Kazuhiro Aruga

Chunhui Liu This is me

Ryo Uemura This is me

Takeshi Furusawa This is me

Publication Date September 5, 2016
Published in Issue Year 2016 Volume: 2 Issue: 1

Cite

APA Aruga, K., Liu, C., Uemura, R., Furusawa, T. (2016). Economic Balance of a Clearcutting Operation Using Terrestrial LiDAR. European Journal of Forest Engineering, 2(1), 1-10.

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