The effect of short ground vegetation on terrestrial laser scans at a local scale

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 95, Issue , 2014, Pages 42-52

  Fan, Lei ^a   Powrie, William ^a   Smethurst, Joel ^a   Atkinson, Peter M ^a   Einstein, Herbert ^b  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

DEM DTM; Error; Point cloud; Resolution; Terrestrial laser scanning (TLS); Vegetation

Indexed keywords

ERRORS; OPTICAL RESOLVING POWER; SEEBECK EFFECT; STEEL BEAMS AND GIRDERS; SURVEYS; THREE DIMENSIONAL COMPUTER GRAPHICS; VEGETATION;

DEM/DTM; GROUND VEGETATION; POINT CLOUD; SURFACE DEFORMATION; TERRESTRIAL LASER SCANNING; TERRESTRIAL LASER SCANS; TOPOGRAPHICAL INFORMATION; VEGETATION HEIGHT;

SURVEYING INSTRUMENTS;

ACCURACY ASSESSMENT; GRASS; HEIGHT; RESOLUTION; TERRAIN; TOPOGRAPHY; VEGETATION STRUCTURE;

EID: 84903480055     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.06.003     Document Type: Article

References (37)

1. Axelsson P.E. Processing of laser scanner data - algorithms and applications. ISPRS J. Photogram. Remote Sens. 1999, 54(2-3):138-147.
2. Axelsson P.E. DEM generation from laser scanner data using adaptive TIN models. Int. Arch. Photogram. Remote Sens. Spatial Inf. Sci. 2000, 32:110-117. (Part B4/1).
3. Boehler, W., Vicent, M.B., Marbs, A., 2003. Investigating laser scanner accuracy. In: Proceedings of the XIXth CIPA Symposium, Antalya, Turkey.
4. Buckley S.J., Howell J.A., Enge H.D., Kurz T.H. Terrestrial laser scanning in geology: data acquisition, processing and accuracy considerations. J. Geol. Soc. 2008, 165(3):625-638.
5. Centeno J.A.S., Wutke J.D., Mitishita E.A., Vögtle T. Two methods to estimate the spot size of terrestrial laser scanners. J. Survey. Eng. 2010, 136(3):126-131.
6. Coveney S., Fotheringham A.S. Terrestrial laser scan error in the presence of dense ground vegetation. Photogram. Rec. 2011, 26(135):307-324.
7. Day S.S., Gran K.B., Belmont P., Wawrzyniec T. Measuring bluff erosion part 1: terrestrial laser scanning methods for change detection. Earth Surf. Proc. Land. 2013, 38:1055-1067.
8. Errington A.F.C., Daku B.L.F., Prugger A.F. A model based approach to intensity normalization for terrestrial laser scanners. vol. 8286 2011, Proc. of SPIE, article id. 828605. X. He, J. Xu, G. Vagner, Ferreira (Eds.).
9. Gallay M., Lloyd C.D., McKinley J., Barry L. Assessing modern ground survey methods and airborne laser scanning for digital terrain modelling: a case study from the Lake District, England. Comput. Geosci. 2013, 51:216-227.
10. Guarnieri A., Vettore A., Pirotti F., Menenti M., Marani M. Retrieval of small-relief marsh morphology from terrestrial laser scanner, optimal spatial filtering, and laser return intensity. Geomorphology 2009, 113:12-20.
11. Hall S.A., Burke I.C., Box D.O., Kaufmann M.R., Stoker J.M. Estimating stand structure using discrete-return Lidar: an example from low density, fire prone ponderosa pine forests. Forest Ecol. Manage. 2005, 208(1-3):189-209.
12. Hodgson M.E., Bresnahan P. Accuracy of airborne lidar-derived elevation: empirical assessment and error budget. Photogram. Eng. Remote Sens. 2004, 70(3):331-340.
13. Hofle B., Pfeifer N. Correction of laser scanning intensity data: data and model-driven approaches. ISPRS J. Photogram. Remote Sens. 2007, 62(6):415-433.
14. Hopkinson C., Chasmer L.E., Sass G., Creed I.F., Sitar M., Kalbfleisch W., Treitz P. Vegetation class dependent errors in lidar ground elevation and canopy height estimates in a boreal wetland environment. Can. J. Remote Sens. 2005, 31(2):191-206.
15. Jutzi, B., Gross, H., 2009. Normalization of LiDAR intensity data based on range and surface incidence angle. In: Proceedings of ISPRS Workshop: Laser Scanning, ISPRS, pp. 213-218.
16. Kaasalainen S., Ahokas E., Hyyppä J., Suomalainen J. Study of surface brightness from backscattered laser intensity: calibration of laser data. IEEE Geosci. Remote Sens. Lett. 2005, 2(3):255-259.
17. Kaasalainen S., Krooks A., Kukko A., Kaartinen H. Radiometric calibration of terrestrial laser scanners with - external reference targets. Remote Sens. 2009, 1(3):144-158.
18. Kraus K., Pfeifer N. Determination of terrain models in wooded areas with airborne laser scanner data. ISPRS J. Photogram. Remote Sens. 1998, 53(4):193-203.
19. Latypov D. Estimating relative lidar accuracy information from overlapping flight lines. ISPRS J. Photogram. Remote Sens. 2002, 56(4):236-245.
20. Leica Geosystems, 2012a. Leica ScanStation C10/C5 system field manual, Version 5.0., Leica Geosystems AG, Switzerland.
21. Leica Geosystems, 2012b. Leica ScanStation C10 Product Specifications, Leica Geosystems AG, Switzerland, (accessed 16.10.13). http://www.leica-geosystems.co.uk/.
22. Lichti D., Gordon S., Tipdecho T. Error models and propagation in directly georeferenced terrestrial laser scanner networks. J. Survey. Eng. 2005, 131(4):135-142.
23. Lim K., Treitz P., Wulder M., St-Onge B., Flood M. LiDAR remote sensing of forest structure. Prog. Phys. Geogr. 2003, 27(1):88-106.
24. Nield J.M., Wiggs G.F.S., Squirrell R.S. Aeolian sand strip mobility and photodune development on a drying beach: examining surface moisture and surface roughness patterns measured by terrestrial laser scanning. Earth Surf. Proc. Land. 2011, 36(4):513-522.
25. Pfeifer, N., Stadler, P., Briese, C., 2001. Derivation of digital terrain models in the SCOP++ environment. In: OEEPE Workshop on Airborne Laser Scanning and Interferometric SAR for Digital Elevation Models, Stockholm.
26. Pfeifer, N., Gorte, B., Vosselman, G., 2003. Laser altimetry and vegetation. In: Technical Report AGI-GAP-2003-56, Adviesdienst Geo-Informatie en ICT, Rijkswaterstaat, The Netherlands.
27. Pfeifer, N., Gorte, B., Elberink., E.O., 2004. Influences of vegetation on laser altimetry - analysis and correction approaches. In: International Archives of Photogrammetry and Remote Sensing, vol. XXXVI, 8/W2, Freiburg, Germany.
28. Pfeifer N., Dorninger P., Haring A., Fan H. Investigating terrestrial laser scanning intensity data: quality and functional relations. Proceedings of VIII Conference on Optical 3D Measurement Techniques 2007, 328-337. ETH Zurich, Switzerland.
29. Pirotti F., Guarnieri A., Vettore A. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS J. Photogram. Remote Sens. 2013, 76:56-63.
30. Schürch P., Densmore A.L., Rosser N.J., Lim M., McArdell B.W. Detection of surface change in complex topography using terrestrial laser scanning: application to the Illgraben debris-flow channel. Earth Surf. Proc. Land. 2011, 36(14):1847-1859.
31. Sibson R. A brief description of natural neighbour interpolation. Interpreting Multivariate Data 1981, John Wiley, Chichester, (Chapter 2). V. Barnett (Ed.).
32. Soudarissanane S., Lindenbergh R., Menenti M., Teunissen P. Scanning geometry: influencing factor on the quality of terrestrial laser scanning points. ISPRS J. Photogram. Remote Sens. 2011, 66(4):389-399.
33. Tang P., Akinci B., Huber D. Quantification of edge loss of laser scanned data at spatial discontinuities. Automat. Constr. 2009, 18:1070-1083.
34. Töyrä J., Pietroniro A., Hopkinson C., Kalbfleisch W. Assessment of airborne scanning laser altimetry (LiDAR) in a deltaic wetland environment. Can. J. Remote Sens. 2003, 29(6):679-690.
35. Vezočnik R., Ambrožič T., Sterle O., Bilban G., Pfeifer N., Stopar B. Use of terrestrial laser scanning technology for long term high precision deformation monitoring. Sensors 2009, 9:9873-9895.
36. Wang C., Menenti M., Stoll M., Feola A., Belluco E., Marani M. Separation of ground and low vegetation signatures in LiDAR measurements of salt marsh environments. IEEE Trans. Geosci. Remote Sens. 2009, 47(7):2014-2023.
37. Webster T.L., Forbes D.L., MacKinnon E., Roberts D. Flood-risk mapping for storm-surge events and sea-level rise using lidar for southeast New Brunswick. Can. J. Remote Sens. 2006, 32(2):194-211.