Abstract
Light Detection and Ranging (LiDAR) is a relatively new surveying technology with the ability to capture and represent a physical environment as never before. This technique has revolutionized the way the data are gathered in the topographical mapping, going from discrete data collection to a massive one. The main advantage of the technique is that it provides a direct method for 3D data collection with high accuracy. Unlike the traditional photogrammetric methods, it can directly collect accurately georeferenced sets of dense point clouds, which can be almost directly used in a variety of applications. Due to the relative novelty of this technology and the increasing interesting of its applications in different scopes, it is likely that new approaches for data processing will be developed in the near future. This paper introduces the technology and analyses the main processing stages of the LiDAR point clouds until the creation of relevant digital models.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Reutebuch, S.E., McGaughey, R.J., Andersen, H., Carson, W.W.: Accuracy of a high-resolution lidar terrain model under a conifer forest canopy. Can. J. Remote. Sens. 29(5), 527ā535 (2003)
National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center: āLidar 101: An Introduction to Lidar Technology, Data, and Applications.ā Revised. Charleston, SC: NOAA Coastal Services Center (2012)
Baltsavias, E.P.: Airborne laser scanning: basic relations and formulas. ISPRS J. Photogrammetry Remote Sens. 54, 199ā214 (1999)
Lohani, B., Ghosh, S.: Airborne LiDAR technology: a review of data collection and processing systems. Proc. Natl. Acad. Sci. India Sect. A Phys. Sci. 87, 567ā579 (2017)
Shan, J., Toth, C.K.: Topographic Laser Ranging and Scanning: Principles and Processing, 1st edn. Taylor and Francis Group, Boca Raton (2009)
Ullrich, A., Studnicka, N., Hollaus, M., Briese, C., Wagner, W., Doneus, M., Mucke, W.: Improvements in DTM generation by using full-waveform airborne laser scanning data. In: 7th Annual Conference and Exposition āLaser Scanning and Digital Aerial Photography. Today and Tomorrowā, Moscow, Russia (2008)
Geist, T., Stƶtter, J.: First results on Airborne Laser Scanning Technology as a tool for the quantification of glacier mass balance. In: Proceedings of EARSel-LISSIG-Workshop Observing Our Cryosphere From Space, Bern (2002)
Axelsson, P.: DEM generation from laser scanner data using adaptive TIN models. Int. Arch. Photogrammetry Remote Sens. 33, 110ā117 (2000)
TerraSolid 2018: TerraScan Userās Guide (2018)
Vosselman, G.: Slope based filtering of laser altimetry data. IAPRS 43 (2000)
Zhang, K., Lin, X., Whitman, D., Shyu, M., Yan, J., Zhang, C.: A progressive morphological filter for removing nonground measurements from airborne LiDAR data. IEEE Trans. Geosci. Remote Sens. 41(4), 872ā882 (2003)
Kraus, K., Pfeifer, N.: Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J. Photogrammetry Remote Sens. 53, 193ā203 (1998)
Pfeifer, N., Stadler, P., Briese, C.: Derivation of digital terrain models in the SCOP++āenvironment. In: Proceedings OEEPE Workshop on Airborne Laserscanning and Interferometric SAR for Digital Elevation Models, Stockholm, Sweden (2001)
Sithole, G., Vosselma, G.: Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds. ISPRS J. Photogrammetry Remote Sens. 59(1ā2), 85ā101 (2004)
Schiewe, J.: Ein regionen-basiertes verfahren zur extraktion der gelƤndeoberflƤche aus digitalen oberfƤchen-modellen. Photogrammetrie, Fernekundung, Geoinformation 2, 81ā90 (2001)
Maguya, A.S., Virpi, J., Tuomo, K.: Adaptive algorithm for large scale DTM interpolation from lidar data for forestry applications in steep forested terrain. ISPRS J. Photogrammetry Remote Sens. 85, 74ā83 (2013)
Acknowledgements
The work in this paper has been partially supported by FEDER funds for the MINECO project TIN2017-85827-P, and projects KK-2018/00071 and KK-2018/00082 of the Elkartek 2018 funding program of the Basque Government.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
Ā© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Torre-Tojal, L., Lopez-Guede, J.M., GraƱa, M. (2019). Geospatial Modeling Using LiDAR Technology. In: Rocha, Ć., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 931. Springer, Cham. https://doi.org/10.1007/978-3-030-16184-2_62
Download citation
DOI: https://doi.org/10.1007/978-3-030-16184-2_62
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-16183-5
Online ISBN: 978-3-030-16184-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)