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Urban Tree Detection Using Mobile Laser Scanning Data

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Abstract

Nearly half of the world's population (47 per cent) lives in urban areas and is expected to grow by two per cent per year during 2000-15 (UN, 2001). Urban trees are essential data sets for studies on urban biomass, ecological function, water budgets and radiation transfer in an urban system. Furthermore, it is also useful for 3D cadastre and 3D city models used by planners and environmentalists for planning, modelling and ecological assessments of the city.

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References

  • Alharthy, A. and Bethel, J. (2002). Heuristic filtering and 3D feature extraction from LIDAR data. International Archives of Photogrammetry Remote Sensing and Spatial Information Science, 34(3/A), 29-34. Barbakh, W., Wu, Y. and Fyfe, C. (2009). Review of Clustering Algorithms. NonStandard Parameter Adaptation for Exploratory Data Analysis (pp. 7-28).

    Google Scholar 

  • Barber, D., Mills, J. and Smith-Voysey, S. (2008). Geometric validation of a ground- based mobile laser scanning system. ISPRS Journal of Photogrammetry andRemote Sensing, 63(1), 128-141.

    Article  Google Scholar 

  • Bucksch, A. and Lindenbergh, R. (2008). CAMPINO - A skeletonization method for point cloud processing. ISPRS Journal of Photogrammetry and Remote Sensing, 63(1), 115-127.

    Article  Google Scholar 

  • Chen, Q., Gong, P., Baldocchi, D. and Xie, G. (2007). Filtering airborne laser scanning data with morphological methods. Photogrammetric Engineering and Remote Sensing, 73(2), 175.

    Google Scholar 

  • Filin, S. and Pfeifer, N. (2006). Segmentation of airborne laser scanning data using a slope adaptive neighborhood. ISPRS Journal of Photogrammetry and Remote Sensing, 60(2), 71-80.

    Article  Google Scholar 

  • Haala, N. and Brenner, C. (1999). Extraction of buildings and trees in urban environments. ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3), 130-137.

    Article  Google Scholar 

  • Haala, N., Peter, M., Cefalu, A. and Kremer, J. (2008). Mobile lidar mapping for urban data capture. Paper presented at the Conference on Virtual Systems and MultiMedia Dedicated to Digital Heritage, Limassol, Cyprus.

    Google Scholar 

  • Iovan, C., Boldo, D. and Cord, M. (2007). Automatic extraction of urban vegetation structures from high resolution imagery and digital elevation model. Urban Remote Sensing Joint Event, 2007, 1-5.

    Article  Google Scholar 

  • Kukko, A., Andrei, C., Salminen, V., Kaartinen, H., Chen, Y., Rönnholm, P. et al. (2007). Road Environment Mapping System of the Finnish Geodetic Institute-FGI Roamer. Paper presented at the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences.

    Google Scholar 

  • Lindenberger, J. (1989). Test Results of Laser Profiling for Topographic Terrain Survey. Schriftenreihe des Instituts für Photogrammetrie der Universität Stuttgart, 13, 2539.

    Google Scholar 

  • Mallet, C. and Bretar, F. (2009). Full-waveform topographic lidar: State-of-the-art. ISPRS Journal of Photogrammetry and Remote Sensing, 64(1), 1-16.

    Article  Google Scholar 

  • Meng, X., Wang, L., Silvun-Curdenas, J.L. and Currit, N. (2009). A multi-directional ground filtering algorithm for airborne LIDAR. ISPRS Journal of Photogrammetry and Remote Sensing, 64(1), 117-124.

    Article  Google Scholar 

  • Morgan, M. and Tempfli, K. (2000). Automatic building extraction from airborne laser scanning data. International Archives of Photogrammetry and Remote Sensing, 33(B3/2; Part 3), 616-623.

    Google Scholar 

  • Norbert, H., Michael, P., Alessandro, C. and Jens, K. (2008). Mobile Lidar Mapping For Urban Data Capture. Digital Heritage - Proceedings of the 14th International Conference on Virtual Systems and Multimedia, VSMM, 95-100.

    Google Scholar 

  • Optech (2008). LYNX Mobile Mapper Data Sheet. http://www.optech.ca/pdf/ LynxDataSheet.pdf, accessed on 2-10-2009.

  • Pratihast, A.K. (2010). 3d tree modelling using mobile laser scanning data. University of Twente, Faculty of Geo-Information and Earth Observation ITC, Enschede.

    Google Scholar 

  • Qihong, Z. (2008). Data filtering and feature extraction of urban typical objects from airborne lidar point cloud. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science, 37 (Part B3b).

    Google Scholar 

  • Rabbani, T., van den Heuvel, F. and Vosselmann, G. (2006). Segmentation of point clouds using smoothness constraint. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(5), 248-253.

    Google Scholar 

  • Rosell, J.R., Llorens, J., Sanz, R., Arno, J., Ribes-Dasi, M., Masip, J., Escola, A., Camp, F., Solanelles, F., Gracia, F., Gil, E., Val, L., Planas, S. and Palacin, J. (2009). Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LIDAR scanning. Agricultural and Forest Meteorology, 149, 15051515.

    Article  Google Scholar 

  • Rutzinger, M., Hofle, B. and Pfeifer, N. (2007). Detection of high urban vegetation with airborne laser scanning data. Proceedings Forestat, Montpellier, France.

    Google Scholar 

  • Rutzinger, M., Pratihast, A.K., Oude Elberink, S.J. and Vosselman, G. (2010). Detection and modelling of 3D trees from mobile laser scanning data. In: Proceedings of the ISPRS Commission V mid - term symposium : Close Range Image Measurement Techniques, 21-24 June 2010, Newcastle, UK/ed. by J.P. Mills et al. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), 38(part 5), 520-525.

    Google Scholar 

  • Rutzinger, M., Pratihast, A.K., Oude Elberink, S.J. and Vosselman, G. (2011). Tree modelling from mobile laser scanning data-sets. The Photogrammetric Record, (10.1111/j.1477-9730.2011.00635.x).

    Google Scholar 

  • Shan, J. and Toth, C. (2008). Topographic Laser Ranging and Scanning: Principles and Processing. Taylor and Francis Group.

    Google Scholar 

  • Sithole, G. and Vosselman, G. (2001). Filtering of laser altimetry data using a slope adaptive filter. International Archives of Photogrammetry and Remote Sensing, 34(3/W4), 203-210.

    Google Scholar 

  • Sithole, G. and Vosselman, G. (2005). Filtering of airborne laser scanner data based on segmented point clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(part 3), 12-14.

    Google Scholar 

  • Tao, G. and Yasuoka, Y. (2002). Combining high resolution satellite imagery and airborne laser scanning data for generating bareland DEM in urban areas. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 30.

    Google Scholar 

  • Tovari, D. and Vogtle, T. (2004). Classification methods for 3D objects in laser- scanning data. Int. Archives of Photogrammetry and Remote Sensing, 1682-1750.

    Google Scholar 

  • UN (2001). World urbanization prospects: the 1999 revision - Key findings. Retrieved 25.05.2011, from http://www.un.org/esa/population/publications/wup1999/ urbanization.pdf

  • Ussyshkin, V. (2009). Mobile Laser Scanning Technology for Surveying Application: From Data Collection to End-Products. Paper presented at the FIG Working Week, Surveyors Key Role in Accelerated Development Eilat, Israel, 3-8 May 2009.

    Google Scholar 

  • Vauhkonen, J., Tokola, T., Packal, N.P. and Maltamo, M. (2009). Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics. Forest Science, 55(1), 37-47.

    Google Scholar 

  • Vosselman, G. (2000). Slope based filtering of laser altimetry data. International Archives of Photogrammetry and Remote Sensing, 33(B3/2; Part 3), 935-942.

    Google Scholar 

  • Vosselman, G., Gorte, B., Sithole, G. and Rabbani, T. (2004). Recognising structure in laser scanner point clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 46(Part 8), 4-6.

    Google Scholar 

  • Zhang, K., Chen, S., Whitman, D., Shyu, M., Yan, J. and Zhang, C. (2003). A progressive morphological filter for removing nonground measurements from airborne LIDAR data. IEEE Transactions on Geoscience and Remote Sensing, 41(4), 872-882.

    Article  Google Scholar 

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Acknowledgement

We would like to thank Optech and Euro SDR for providing data for this research. The authors are also thankful to Faculty of Geo-information Science and Earth Observation (ITC), Universiteit Twente, Enschede, The Netherlands, especially Geoinformatics department, for overall research arrangements and valuable advice during the study.

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Pratihast, A.K., Thakur, J.K. (2011). Urban Tree Detection Using Mobile Laser Scanning Data. In: Thakur, J.K., Singh, S.K., Ramanathan, A., Prasad, M.B.K., Gossel, W. (eds) Geospatial Techniques for Managing Environmental Resources. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1858-6_12

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