Research Article
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Year 2018, , 56 - 62, 28.12.2018
https://doi.org/10.33904/ejfe.499784

Abstract

References

  • Abdi, E., Majnounian, B., Darvishsefat, A., Mashayekhi, Z., Sessions, J., 2009. A GIS-MCE based model for forest road planning. Journal of Forest Science, 55(4):171-176.
  • Akay, A. E., Sessions, J. 2005. Applying the decision support system, TRACER, to forest road design. Western Journal of Applied Forestry, 20(3):184-191.
  • Akgül, M., Demir, M., Akay, A.E., 2017. Analyzing dynamic curve widening on forest roads. Journal of Forestry Research, 28(2):411-417.
  • Akgül, M., Yurtseven, H., Gulci, S., Akay, A.E., 2018. Evaluation of UAV-and GNSS-Based DEMs for Earthwork Volume. Arabian Journal for Science and Engineering, 43(4):1893-1909.
  • Anonymous, 2007. 9th Development Plan, Forestry Specialization Commission Reports, Ankara.
  • Anonymous, 2008. Forest road planning, construction, and maintenance, No. 292 Notification, Ankara.
  • Anurogo, W., Lubis, M.Z., Khoirunnisa, H., Hanafi, D.S.P.A., Rizki, F., Surya, G., Dewanti, N.A., 2017. A Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition Using Unmanned Aerial Vehicles (UAVs). Geospatial Information, 1(1):11-18.
  • Becker, R.M., Keefe, R.F., Anderson, N.M., Eitel, J.U., 2018. Use of lidar-derived landscape parameters to characterize alternative harvest system options in the Inland Northwest. International Journal of Forest Engineering, 29(3):179-191.
  • Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M., 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing, 58(3-4):239-258.
  • Demir, M., Hasdemir, M., 2005. Functional planning criterion of forest road network systems according to recent forestry development and suggestion in Turkey. American Journal Environmental Science, 1(1):22-28.
  • Erdaş, O. 1997. Forest roads–Issue I. KTU Faculty of Forestry Publications, 187, 25.
  • Gülci, N., Akay, A.E., Erdaş, O., Gülci, S., 2015. Forest operations planning by using RTK-GPS based digital elevation model. Journal of the Faculty of Forestry Istanbul University, 65(2):59-68.
  • Gülci, S., Akgül, M., Akay, A.E., Taş, İ., 2017. Using Ready toUse Drone Images in Forestry Activities: Case Study of Çinarpinar in Kahramanmaras, Turkey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W6, 2017. 4th International GeoAdvances Workshop, 14–15 October 2017, Safranbolu, Karabuk, Turkey.
  • Holopainen, M., Vastaranta, M., Hyyppä, J., 2014. Outlook for the next generation’s precision forestry in Finland. Forests, 5(7):1682-1694.
  • Kangas, A., Gobakken, T., Puliti, S., Hauglin, M., Næsset, E., 2018. Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making. Silva Fennica, 52(1). 19 p. https://doi.org/10.14214/sf.9923.
  • Kellndorfer, J.M., Dobson, M.C., Vona, J.D., Clutter, M., 2003. Toward precision forestry: Plot-level parameter retrieval for slash pine plantations with JPL AIRSAR. IEEE Transactions on Geoscience and Remote Sensing, 41(7):1571-1582.
  • Kleinschroth, F., Garcia, C., Ghazoul, J. 2018. Reconciling certification and intact forest landscape conservation. Ambio, 1-7. DOI: 10.1007/s13280-018-1063-6.
  • Oregon State Highway Commission, 1924. Sixth biennial report of the Oregon State Highway. Commission: covering the period December 1, 1922, to November 30, 1924.
  • Öztürk, T., Inan, M., Akay, A.E., 2010: Analysis of tree damage caused by excavated materials at forest road construction in karst region. Croatian Journal of Forest Engineering, 31(1):57-64.
  • Picchio, R., Pignatti, G., Marchi, E., Latterini, F., Benanchi, M., Foderi, C., Verani, S., 2018. The Application of Two Approaches Using GIS Technology Implementation in Forest Road Network Planning in an Italian Mountain Setting. Forests, 9(5):277-295.
  • Seçkin, Ö.B., 1978. Drainage in forest roads, Istanbul University Faculty of Forestry Journal, 28(1):149-165.

Capabilities of using UAVs in Forest Road Construction Activities

Year 2018, , 56 - 62, 28.12.2018
https://doi.org/10.33904/ejfe.499784

Abstract

The forests
in Turkey is classified and managed according to their functions within the
framework of Ecosystem Based Multi-Purpose Planning policy. It is very
important to ensure that planning activities are handled appropriately in order
to carry out forestry activities which are labor intensive, difficult and
dangerous. Forest roads have served as the main infrastructure facility for
forestry activities in accordance with multiple purposes. In order to increase
efficiency within the concept of precision forestry and to transfer the plans
to the application more clearly, it is essential to use technology and
technological machinery. In this context, this study aimed to reveal the
capabilities of using Unmanned Aerial Vehicles (UAVs) and Geographical
Information Systems (GIS) tools in planning the forest road construction. For
this purpose, cut and fill volume of a 300 m long sample road was computed by
using USGS based Digital Elevation Model (DEM) with 1 m x 1 m resolution and
UAV based DEM with 0.05 m x 0.05 m resolution which were generated prior to
road construction and after the road construction, respectively. The results
indicated that the cut volume and fill volume were 81804.4 m3 and
74.2 m3, respectively. It was found that the use of UAV will be
quite advantageous in terms of capturing high quality and high-resolution data
for planning the forest road construction and evaluating alternative routes.

References

  • Abdi, E., Majnounian, B., Darvishsefat, A., Mashayekhi, Z., Sessions, J., 2009. A GIS-MCE based model for forest road planning. Journal of Forest Science, 55(4):171-176.
  • Akay, A. E., Sessions, J. 2005. Applying the decision support system, TRACER, to forest road design. Western Journal of Applied Forestry, 20(3):184-191.
  • Akgül, M., Demir, M., Akay, A.E., 2017. Analyzing dynamic curve widening on forest roads. Journal of Forestry Research, 28(2):411-417.
  • Akgül, M., Yurtseven, H., Gulci, S., Akay, A.E., 2018. Evaluation of UAV-and GNSS-Based DEMs for Earthwork Volume. Arabian Journal for Science and Engineering, 43(4):1893-1909.
  • Anonymous, 2007. 9th Development Plan, Forestry Specialization Commission Reports, Ankara.
  • Anonymous, 2008. Forest road planning, construction, and maintenance, No. 292 Notification, Ankara.
  • Anurogo, W., Lubis, M.Z., Khoirunnisa, H., Hanafi, D.S.P.A., Rizki, F., Surya, G., Dewanti, N.A., 2017. A Simple Aerial Photogrammetric Mapping System Overview and Image Acquisition Using Unmanned Aerial Vehicles (UAVs). Geospatial Information, 1(1):11-18.
  • Becker, R.M., Keefe, R.F., Anderson, N.M., Eitel, J.U., 2018. Use of lidar-derived landscape parameters to characterize alternative harvest system options in the Inland Northwest. International Journal of Forest Engineering, 29(3):179-191.
  • Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M., 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing, 58(3-4):239-258.
  • Demir, M., Hasdemir, M., 2005. Functional planning criterion of forest road network systems according to recent forestry development and suggestion in Turkey. American Journal Environmental Science, 1(1):22-28.
  • Erdaş, O. 1997. Forest roads–Issue I. KTU Faculty of Forestry Publications, 187, 25.
  • Gülci, N., Akay, A.E., Erdaş, O., Gülci, S., 2015. Forest operations planning by using RTK-GPS based digital elevation model. Journal of the Faculty of Forestry Istanbul University, 65(2):59-68.
  • Gülci, S., Akgül, M., Akay, A.E., Taş, İ., 2017. Using Ready toUse Drone Images in Forestry Activities: Case Study of Çinarpinar in Kahramanmaras, Turkey. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W6, 2017. 4th International GeoAdvances Workshop, 14–15 October 2017, Safranbolu, Karabuk, Turkey.
  • Holopainen, M., Vastaranta, M., Hyyppä, J., 2014. Outlook for the next generation’s precision forestry in Finland. Forests, 5(7):1682-1694.
  • Kangas, A., Gobakken, T., Puliti, S., Hauglin, M., Næsset, E., 2018. Value of airborne laser scanning and digital aerial photogrammetry data in forest decision making. Silva Fennica, 52(1). 19 p. https://doi.org/10.14214/sf.9923.
  • Kellndorfer, J.M., Dobson, M.C., Vona, J.D., Clutter, M., 2003. Toward precision forestry: Plot-level parameter retrieval for slash pine plantations with JPL AIRSAR. IEEE Transactions on Geoscience and Remote Sensing, 41(7):1571-1582.
  • Kleinschroth, F., Garcia, C., Ghazoul, J. 2018. Reconciling certification and intact forest landscape conservation. Ambio, 1-7. DOI: 10.1007/s13280-018-1063-6.
  • Oregon State Highway Commission, 1924. Sixth biennial report of the Oregon State Highway. Commission: covering the period December 1, 1922, to November 30, 1924.
  • Öztürk, T., Inan, M., Akay, A.E., 2010: Analysis of tree damage caused by excavated materials at forest road construction in karst region. Croatian Journal of Forest Engineering, 31(1):57-64.
  • Picchio, R., Pignatti, G., Marchi, E., Latterini, F., Benanchi, M., Foderi, C., Verani, S., 2018. The Application of Two Approaches Using GIS Technology Implementation in Forest Road Network Planning in an Italian Mountain Setting. Forests, 9(5):277-295.
  • Seçkin, Ö.B., 1978. Drainage in forest roads, Istanbul University Faculty of Forestry Journal, 28(1):149-165.
There are 21 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Ender Buğday 0000-0002-3054-1516

Publication Date December 28, 2018
Published in Issue Year 2018

Cite

APA Buğday, E. (2018). Capabilities of using UAVs in Forest Road Construction Activities. European Journal of Forest Engineering, 4(2), 56-62. https://doi.org/10.33904/ejfe.499784

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