Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(5), 1537-1546 | DOI: 10.11118/actaun201664051537

Monitoring of Forest Hauling Roads Wearing Course Damage Using Unmanned Aerial Systems

Petr Hrůza1, Tomáš Mikita2, Přemysl Janata2
1 Department of Landscape Management, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic
2 Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Zemědělská 3, 613 00 Brno, Czech Republic

Currently, a large part of the forest roads that were built using the bituminous surface technology in the second half of the last century have been worn out. This means that forest owners and forest managers urgently need to determine the amount and extent of this damage and establish a suitable repair plan, which demands both time and staff. The aim of the study is to verify whether it is possible, and with what precision, to detect the damage of the wearing course by means of unmanned aerial systems, which would facilitate and accelerate this process and possibly make it cheaper. A 3D model of a forest road was created using photos of the current state of a damaged part of a forest road. The aerial photographs were taken by an unmanned aircraft. To verify the accuracy of the model, cross sections of the road surface were surveyed tachymetrically and compared with the cross sections created in the 3D model in ArcMap, from photogrammetric pointcloud using aerial photographs from the unmanned aircraft. The RMSE of the values of the control points in the 3D model cross sections compared to the values of the points in the tachymetric measurement of the cross sections reached to within 0.0198 m. The results of the tested road section showed that the unmanned aerial systems can be used to detect the forest road surface damage with the difference in accuracy being up to 2 cm compared with the accuracy of the current tachymetric methods. Based on the results we can conclude that the used method is appropriate for detailed monitoring of the condition of the asphalt wearing course of forest roads and allows for a precise and objective localization and quantification of damage.

Keywords: forest road, unmanned aircraft, UAS, UAV, wearing course, 3D model

Prepublished online: October 31, 2016; Published: November 1, 2016  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Hrůza, P., Mikita, T., & Janata, P. (2016). Monitoring of Forest Hauling Roads Wearing Course Damage Using Unmanned Aerial Systems. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis64(5), 1537-1546. doi: 10.11118/actaun201664051537
Download citation

References

  1. ABDI, E., SISAKHT, S. R., GOUSHBOR, L., SOUFI, H. 2012. Accuracy assessment of GPS and surveying technique in forest road mapping. Annals of Forest Research, 55: 309 - 317.
  2. AHAMED, K. M., REUTEBUCH, T. A., CURTIS, T. A. 2000. Accuracy of high-resolution airborne laser data with varying forest vegetation cover. In: Proceedings of the 2nd International Conference on Earth Observation and Environmental Information. 11 - 14, Cairo, Egypt.
  3. ARICAK, B. 2015. Using remote sensing data to predict road fill areas affected by fill erosion with planned forest road construction. A case study in Kastamonu Regional Forest Directorate (Turkey). Environ Monit Assess, 184: 417. DOI: 10.1007/s10661-015-4663-7 Go to original source...
  4. ARUGA, K., SESSIONS, J., MIYATA, E. S. 2005. Forest road design with soil sediment using a high-resolution DEM. Journal of Forest Research, 10: 471 - 479. DOI: 10.1007/s10310-005-0174-7 Go to original source...
  5. AUGUST, P., MICHAUD, J., LASBASH, C., SMITH, C. 1994. GPS for environmental applications; accuracy and precision of locational data. Photogrammetric Engineering & Remote Sensing, 60(1): 41 - 45.
  6. AZIZI, Z., NAJAFI, A., SADEGHIAN, S. 2014. Forest Road Detection Using LiDAR Data. Journal of Forestry, 25(4): 975 - 980. DOI: 10.1007/s11676-014-0544-0 Go to original source...
  7. BENEŠ, J. 1978. Výzkum přírodních faktorů ovlivňujících tvorbu lesní dopravní sítě. Závěrečná zpráva VÚ, VŠZ Brno, 85 p.
  8. CHRISTENSEN, B. R. 2015. Use of UAV or remotely piloted aircraft and forward-looking infrared in forest, rural and wildland fire management: evaluation using simple economic analysis. New Zealand Journal of Forestry Science, 45: 16. DOI: 10.1186/s40490-015-0044-9 Go to original source...
  9. COLOMINA, I., MOLINA, P. 2014. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92: 79 - 97. DOI: 10.1016/j.isprsjprs.2014.02.013 Go to original source...
  10. CONTRERAS, M., ARACENA, P., CHUNG, W. 2012. Improving Accuracy in Earthwork Volume Estimation for Proposed Forest Roads Using a High-Resolution Digital Elevation Model. Croatian Journal of Forest Engineering, 33: 125 - 142.
  11. COULTER, E. D., SESSIONS, J., WING, M. G. 2006. Scheduling Forest Road Maintenance Using the Analytic Hierarchy Process and Heuristics. Silva Fennica, 40(1): 143 - 160. DOI: 10.14214/sf.357 Go to original source...
  12. DANDOIS, J. P., ELLIS, E. C. 2010. Remote Sensing of Vegetation Structure Using Computer Vision. Remote Sensing, 2: 1157 - 1176. DOI: 10.3390/rs2041157 Go to original source...
  13. DEHVARI, A., HECK, J. H. 2013. Effect of LiDAR derived DEM resolution on terrain attributes, stream characterization and watershed delineation. International Journal of Agriculture and Crop Sciences, 6(13): 946-967.
  14. HEINIMANN, H. R. 2007. Forest operations engineering and management - the ways behind and ahead of a scientific discipline. Croatian Journal of Forest Engineering, 28: 107 - 121.
  15. KIRBY, M., HAGER, W., WONG, W. 1986. Simultaneous Planning of Woodland Management and Transportation Alternatives. TIMS Stud. Mnage. Sci., 21: 371 - 387.
  16. KRC, J., BEGUS, J. 2013. Planning forest opening with forest roads. Croatian Journal of Forest Engineering, 34(2): 217 - 228.
  17. LINGUA, A., MARENCHINO, D, NEX, F. 2009. Performance Analysis of the Sift Operator for Automatic Feature Extraction and Matching in Photogrammetric Applications. Sensors, 9: 3745 - 3766. DOI: 10.3390/s90503745 Go to original source...
  18. LISEIN, J., PIERROT-DESEILLIGNY, M., BONNET, S., LEJEUNE, P. 2013. A Photogrammetric Workflow for the Creation of a Forest Canopy Height Model from Small Unmanned Aerial System Imagery. Forest, 4: 922 - 944. DOI: 10.3390/f4040922 Go to original source...
  19. MIKITA, T., KLIMÁNEK, M., CIBULKA, M. 2013. Evaluation of airborne laser scanning data for tree parameters and terrain modelling in forest environment. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 61(5):1339 - 1347. DOI: 10.11118/actaun201361051339 Go to original source...
  20. MURRAY, T. A. 1998. Route Planning for Harvest Site Access. Canadian Journal of Forest Research, 28(7): 1084 - 1087. DOI: 10.1139/x98-122 Go to original source...
  21. NAJAFI, A., RICHARDS, E. W. 2013. Designing a forest road network using mixed integer programming. Croatian Journal of Forest Engineering, 34(1):17 - 33.
  22. NAJAFI, A., SOBHANI, H., SAEED, A., MAKHDOM, M., MOHAJER, M. M. 2008. Planning and Assessment of Alternative Forest Road and Skidding Networks. Croatian Journal of Forest Engineering, 29: 63 - 73.
  23. NAESSET, E., JONMEISTER, T. 2002. Assessing point accuracy of DGPS under forest canopy before data acquisition, in the field and after postprocessing. Scandinavian Journal of Forest Research, 17(4): 351 - 358. DOI: 10.1080/02827580260138099 Go to original source...
  24. PELLEGRINI, M., GRIGOLATO, S., CAVALLI, R. 2013. Spatial Multi-Criteria Decision Process to Define Maintenance Priorities of Forest Road Network: an Application in the Italian Alpine Region. Croatian Journal of Forest Engineering, 34: 31 - 42.
  25. PIERZCHAŁA, M., TALBOT, B., ASTRUP, R. 2014. Estimating Soil Displacement from Timber Extraction Trails in Steep Terrain: Application of an Unmanned Aircraft for 3D Modelling. Forest, 5: 1212 - 1223. DOI: 10.3390/f5061212 Go to original source...
  26. POTOČNIK, A., YOSHIOKA, T., MIYAMOTO, Y., IGARASHI, H., SAKAI, H. 2005. Maintenance of forest road network by natural forest management in Tokyo University Forest in Hokkaido. Croatian Journal of Forest Engineering, 26: 71 - 78.
  27. RODRIGUEZ-PEREZ, J. R., ALVAREZ, M. F., SANZ-ABLANEDO, E. 2007. Assessment of low-cost receiver accuracy and precision in forest environments. Journal of Surveying Engineering, 133(4): 159 - 167. DOI: 10.1061/(ASCE)0733-9453(2007)133:4(159) Go to original source...
  28. SAITO, M., GOSHIMA, M., ARUGA, K., MATSUE, K., SHUIN, Y., TASAKA, T. 2013. Study of Automatic Forest Road Design Model Considering Shallow landslides with LiDAR Data of Funyu Experimental Forest. Croatian Journal of Forest Engineering, 34(1):1 - 15.
  29. SIEBERT, S., TEIZER, J. 2014. Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41: 1 - 14. DOI: 10.1016/j.autcon.2014.01.004 Go to original source...
  30. TURNER, D., LUCIEER, A., WATSON, C. 2012. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SFM) point Clouds. Remote Sensing, 4: 1392 - 1410. DOI: 10.3390/rs4051392 Go to original source...
  31. USDA 2015. Unmanned Aircraft Systems. [Online]. Washington D. C.: U. S. Forest Service. Available at: http://www.fs.fed.us/science-technology/fire/unmanned-aircraft-systems. [Accessed 2015-08-25].
  32. WING, M. G., BURNETT, J. D., SESSIONS, J. 2014. Remote Sensing and Unmanned Aerial System Technology for Monitoring and Quantifying Forest Fire Impacts. International Journal of remote Sensing Applications, 4(1): 1822. Go to original source...
  33. WHITE, R., DIETTERICK, B C., MASTIN, T., STRIHMAN, R. 2010. Forest roads mapped using LiDAR in steep forested terrain. Remote sensing, 2: 1120 - 1141. DOI: 10.3390/rs2041120 Go to original source...
  34. WOLNIEWICZ, W. 2001. GPS accuracy test, performance in open area and under forest canopy. GIM International, 5(15): 56 - 59.
  35. YANG, C. H., REGAN, A. C. 2013. Methodology for effective operation of road management equipment. Transport Policy, 30: 199 - 206. DOI: 10.1016/j.tranpol.2013.09.008 Go to original source...
  36. YANG, C. H., REGAN, A. C., KIM, I. S. 2014. Estimating road management equipment inventory needs and associated purchase costs. Transport Policy, 36: 242 - 247. DOI: 10.1016/j.tranpol.2014.09.009 Go to original source...
  37. ŽÁČEK, J. 2010. Výzkum dopravní infrastruktury v lesích ČR s důrazem na lesní cesty ve vybraných PLO. Disertační práce. Praha: ČZU v Praze

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.