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Using UAS-Based Point Clouds to Generate High Resolution Digital Terrain Model for Forestry Research and Applications*

Year 2016, Volume: 2 Issue: 1, 35 - 40, 19.11.2016

Abstract



Digital Terrain Models (DTMs) as well as Digital
Surface Models (DSMs) have been widely used in many forestry applications,
especially in locating forest roads, developing transportation planning, and
determining the stand parameters. Generally, LiDAR (Light Detection and
Ranging) point clouds have been used to generate DTMs, since LiDAR technology
is able to provide multiple returns, which is very useful to separate the
ground surface and non-ground objects such as trees, buildings etc. However,
LiDAR technology generally requires a high cost and this, of course, has a
negative effect on the use of LiDAR point clouds. In this study, the DTM of a
study area was generated by means of the point cloud extracted from the aerial
images taken from a UAS (Unmanned Aerial System). As the first step, the
UAS-based point cloud was filtered to separate the points belong to the ground
and non-ground objects. Thereafter, the filtered point cloud was interpolated
to obtain the DTM of the study area. Finally, field measurements were conducted
by using Real-Time Kinematic GPS (Global Positioning Systems) measurement
technique to evaluate the accuracy of the produced DTM. Multiquadratic CRC, CP
and CHTS surfaces were used as Q surfaces. Bi-linear surface was chosen as the
trend surface when conducting the Multiquadratic interpolation algorithm.
Accuracy evaluations revealed that it is possible to generate high-resolution
DTMs by using UAS-based point clouds. The results indicated that the CRC and
CHTS algorithms provided better results in representing the topography,
compared to the CP algorithm.
       




References

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  • Çakır, L., 2012. Investigation of the Methods used to Derive Indirectly Orthometric Height from GPS Measurements, Ph.D. Thesis, KTÜ, Graduate School, Trabzon, 140 p.
  • Fasshauer, G.E., 2002. Newton Iteration with Multiquadrics for the Solution of Nonlinear PDEs. Computers Math. Appl. 43(3):423–438.
  • Franke, R., 1979. A Critical Comparison of Some Methods for Interpolation of Scattered Data, PhD thesis, Naval Postgraduate School Monterey, California.
  • Guo, Q., Li, W., Yu, H. Alvarez., O., 2010. Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods. Photogrammetric Engineering and Remote Sensing 76(6):701-712.
  • Güler, A., 1985. Tests on two Interpolation Methods on Digital Terrain Models. Journal of Chamber of Survey and Cadastre Engineers, 52-53:98-118.
  • Hardy, R.L., 1971. Multiquadric Equations of Topography and other Irregular Surfaces. Journal of Geophysical Research. 76:1905-1915.
  • Hardy, R.L., 1990. Theory of Applications of the Multiquadratic-biharmonic Method: 20 Years of Discovery 1968-1988. Computers and Mathematics with Application. 19(8):163-208.
  • Kim, Y.M., Eo, Y.D., Chang, A.J., Kim, Y.I., 2013. Generation of a DTM and building detection based on an MPF through integrating airborne lidar data and aerial images. International Journal of Remote Sensing. 34(8):2947–2968.
  • Koç, A., 1996. The importance of Digital Terrain Model, Slope, and Aspect Maps in forestry and their generation by using Geographical Information System software (Arc/INFO) (The case of Belgrad Forest ). Journal of the Faculty of Forestry Istanbul University (JFFIU). 46(1):117-136.
  • Kwak, D.A., Lee, W.K., Lee, J.H., Biging, G.S., Gong, P., 2007. Detection of individual trees and estimation of tree height using LiDAR data. Journal of Forest Research, 12(6):425-434.
  • Leberl, F., 1973. Interpolation in a Square Grid DTM. ITC Journal, 756-807.
  • Montealegre, A.L., Lamelas, M.T., de la Riva, J., 2015. Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications. Remote Sensing, 7(7):8631-8654.
  • Pirotti, F., Guarnieri, A., Vettore, A., 2013. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 76:56–63.
  • Susaki, J., 2012. Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM generation. Remote Sensing. 4(6):1804–1819.
  • URL-1,http://www.bimtas.istanbul/lttmDem.aspx (Accessed: 16 October 2016).
  • Yiğit, C.Ö., 2003. The Comparison of The Interpolation Methods Used in Transformation of Ellipsoidal Heights to Orthometric Heights, Master Thesis, Selçuk University, Graduate School, Konya, 131 p.
Year 2016, Volume: 2 Issue: 1, 35 - 40, 19.11.2016

Abstract

References

  • Akgül, M., Yurtseven, H., Demir, M., Akay, A.E., Gülci, S., Öztürk, T., 2016. Usage opportunities of generating digital elevation model with unmanned aerial vehicles on forestry. Journal of the Faculty of Forestry Istanbul University, 66(1):104-118.
  • Çakır, L., 2012. Investigation of the Methods used to Derive Indirectly Orthometric Height from GPS Measurements, Ph.D. Thesis, KTÜ, Graduate School, Trabzon, 140 p.
  • Fasshauer, G.E., 2002. Newton Iteration with Multiquadrics for the Solution of Nonlinear PDEs. Computers Math. Appl. 43(3):423–438.
  • Franke, R., 1979. A Critical Comparison of Some Methods for Interpolation of Scattered Data, PhD thesis, Naval Postgraduate School Monterey, California.
  • Guo, Q., Li, W., Yu, H. Alvarez., O., 2010. Effects of Topographic Variability and Lidar Sampling Density on Several DEM Interpolation Methods. Photogrammetric Engineering and Remote Sensing 76(6):701-712.
  • Güler, A., 1985. Tests on two Interpolation Methods on Digital Terrain Models. Journal of Chamber of Survey and Cadastre Engineers, 52-53:98-118.
  • Hardy, R.L., 1971. Multiquadric Equations of Topography and other Irregular Surfaces. Journal of Geophysical Research. 76:1905-1915.
  • Hardy, R.L., 1990. Theory of Applications of the Multiquadratic-biharmonic Method: 20 Years of Discovery 1968-1988. Computers and Mathematics with Application. 19(8):163-208.
  • Kim, Y.M., Eo, Y.D., Chang, A.J., Kim, Y.I., 2013. Generation of a DTM and building detection based on an MPF through integrating airborne lidar data and aerial images. International Journal of Remote Sensing. 34(8):2947–2968.
  • Koç, A., 1996. The importance of Digital Terrain Model, Slope, and Aspect Maps in forestry and their generation by using Geographical Information System software (Arc/INFO) (The case of Belgrad Forest ). Journal of the Faculty of Forestry Istanbul University (JFFIU). 46(1):117-136.
  • Kwak, D.A., Lee, W.K., Lee, J.H., Biging, G.S., Gong, P., 2007. Detection of individual trees and estimation of tree height using LiDAR data. Journal of Forest Research, 12(6):425-434.
  • Leberl, F., 1973. Interpolation in a Square Grid DTM. ITC Journal, 756-807.
  • Montealegre, A.L., Lamelas, M.T., de la Riva, J., 2015. Interpolation Routines Assessment in ALS-Derived Digital Elevation Models for Forestry Applications. Remote Sensing, 7(7):8631-8654.
  • Pirotti, F., Guarnieri, A., Vettore, A., 2013. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing. 76:56–63.
  • Susaki, J., 2012. Adaptive slope filtering of airborne LiDAR data in urban areas for digital terrain model (DTM generation. Remote Sensing. 4(6):1804–1819.
  • URL-1,http://www.bimtas.istanbul/lttmDem.aspx (Accessed: 16 October 2016).
  • Yiğit, C.Ö., 2003. The Comparison of The Interpolation Methods Used in Transformation of Ellipsoidal Heights to Orthometric Heights, Master Thesis, Selçuk University, Graduate School, Konya, 131 p.
There are 17 citations in total.

Details

Subjects Engineering
Journal Section Research Articles
Authors

Cigdem Serifoglu Yilmaz This is me

Volkan Yilmaz

Oguz Gungor This is me

Publication Date November 19, 2016
Published in Issue Year 2016 Volume: 2 Issue: 1

Cite

APA Serifoglu Yilmaz, C., Yilmaz, V., & Gungor, O. (2016). Using UAS-Based Point Clouds to Generate High Resolution Digital Terrain Model for Forestry Research and Applications*. European Journal of Forest Engineering, 2(1), 35-40.

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The works published in European Journal of Forest Engineering (EJFE) are licensed under a  Creative Commons Attribution-NonCommercial 4.0 International License.