Monitoring geometric properties of an existing forest road using airborne Lidar data
Accurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous forest of Hyrcanian zone. Moreover, Lidar-derived road data was compared with field surveyed data by Leica Total Station device. The results indicated that the average error of Lidar in assessing vertical and horizontal profiles of the existing road was 0.57 m and 4.9°, respectively. The average error of Lidar in detecting the roadbed was 0.78 m. Lidar had an average error of 1.36% in assessing the longitudinal gradient. Based on findings of this study it was concluded that geometric properties of existing forest roads can be monitored rapidly under dense tree canopy using high-resolution Lidar data and without field survey.
Amo M., Martinez F., Torre M. (2006): Road extraction from aerial images using a region competition algorithm. IEEE Transactions on Image Processing, 15, 1192-1201 https://doi.org/10.1109/TIP.2005.864232
Azizi Zahra, Najafi Akbar, Sadeghian Saeed (2014): Forest Road Detection Using LiDAR Data. Journal of Forestry Research, 25, 975-980 https://doi.org/10.1007/s11676-014-0544-0
Clode Simon, Rottensteiner Franz, Kootsookos Peter, Zelniker Emanuel (2007): Detection and Vectorization of Roads from Lidar Data. Photogrammetric Engineering & Remote Sensing, 73, 517-535 https://doi.org/10.14358/PERS.73.5.517
Coffin Alisa W. (2007): From roadkill to road ecology: A review of the ecological effects of roads. Journal of Transport Geography, 15, 396-406 https://doi.org/10.1016/j.jtrangeo.2006.11.006
Craven Michael, Wing Michael G. (2013): Applying airborne LiDAR for forested road geomatics. Scandinavian Journal of Forest Research, 29, 174-182 https://doi.org/10.1080/02827581.2014.881546
David N., Mallet C., Pons T., Chauve A., Bretar F. (2009): Pathway detection and geometrical description from ALS data in forested mountaneous area. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-3/W8: 242–247.
Espinoza F., Owens R.E. (2007): Identifying roads and trails hidden under canopy using LiDAR. [MSc Thesis.] Monterey, Naval Postgraduate School: 71.
Ferraz António, Mallet Clément, Chehata Nesrine (2016): Large-scale road detection in forested mountainous areas using airborne topographic lidar data. ISPRS Journal of Photogrammetry and Remote Sensing, 112, 23-36 https://doi.org/10.1016/j.isprsjprs.2015.12.002
Gomes Pereira L.M, Janssen L.L.F (1999): Suitability of laser data for DTM generation: a case study in the context of road planning and design. ISPRS Journal of Photogrammetry and Remote Sensing, 54, 244-253 https://doi.org/10.1016/S0924-2716(99)00018-0
Grote Anne, Heipke Christian, Rottensteiner Franz (2012): Road Network Extraction in Suburban Areas. The Photogrammetric Record, 27, 8-28 https://doi.org/10.1111/j.1477-9730.2011.00670.x
He Yi, Song Ziqi, Liu Zhaocai (2017): Updating highway asset inventory using airborne LiDAR. Measurement, 104, 132-141 https://doi.org/10.1016/j.measurement.2017.03.026
Hinz Stefan, Baumgartner Albert (2003): Automatic extraction of urban road networks from multi-view aerial imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 58, 83-98 https://doi.org/10.1016/S0924-2716(03)00019-4
Hui Zhenyang, Hu Youjian, Jin Shuanggen, Yevenyo Yao Ziggah (2016): Road centerline extraction from airborne LiDAR point cloud based on hierarchical fusion and optimization. ISPRS Journal of Photogrammetry and Remote Sensing, 118, 22-36 https://doi.org/10.1016/j.isprsjprs.2016.04.003
Lacoste C., Descombes X., Zerubia J. (2005): Point processes for unsupervised line network extraction in remote sensing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1568-1579 https://doi.org/10.1109/TPAMI.2005.206
Mayer H., Hinz S., Bacher U., Baltsavias E. (2006): A test of automatic road extraction approaches. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI Part 3: 209–214.
Mena J.B., Malpica J.A. (2005): An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery. Pattern Recognition Letters, 26, 1201-1220 https://doi.org/10.1016/j.patrec.2004.11.005
Mnih V., Hinton G. (2012): Learning to label aerial images from noisy data. In: Geoffrey J., Gordon C., Le Song M. (eds): International Conference on Machine Learning, Edinburgh, June 26–July 1, 2012: 268–275.
Reutebuch Stephen E, McGaughey Robert J, Andersen Hans-Erik, Carson Ward W (2014): Accuracy of a high-resolution lidar terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing, 29, 527-535 https://doi.org/10.5589/m03-022
Robinson C., Duinker P.N., Beazley K.F. (2010): A conceptual framework for understanding, assessing, and mitigating ecological effects of forest roads. Environmental Reviews, 18, 61-86 https://doi.org/10.1139/A10-002
Sessions J., Wimer J., Costales F., Wing M.G. (2010): Engineering considerations in road assessment for biomass operations in steep terrain. Western Journal of Applied Forestry, 25: 144–153.
Sidle Roy C., Ziegler Alan D. (2012): The dilemma of mountain roads. Nature Geoscience, 5, 437-438 https://doi.org/10.1038/ngeo1512
Türetken E., Benmansour F., Andres B., Pfister H., Fua P. (2013): Reconstructing loopy curvilinear structures using integer programming. In: Arbeláez P., Maire M. (eds): Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Portland, June 23–28, 2013: 151–163.
White Russell A., Dietterick Brian C., Mastin Thomas, Strohman Rollin (2010): Forest Roads Mapped Using LiDAR in Steep Forested Terrain. Remote Sensing, 2, 1120-1141 https://doi.org/10.3390/rs2041120
Xiao Liang, Wang Ruili, Dai Bin, Fang Yuqiang, Liu Daxue, Wu Tao (2017): Hybrid conditional random field based camera-LIDAR fusion for road detection. Information Sciences, , - https://doi.org/10.1016/j.ins.2017.04.048
Ziems M., Breitkopf U., Heipke C., Rottensteiner F. (2012): MULTIPLE-MODEL BASED VERIFICATION OF ROAD DATA. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I-3, 329-334 https://doi.org/10.5194/isprsannals-I-3-329-2012