DEM Generation based on UAV Photogrammetry Data in Critical Areas

Giulia Sammartano, Antonia Spanò

Abstract

Many Geomatics technologies based on the use of terrestrial and aerial sensor offer a significant support and new potentialities in term of quickness, multi-scale precision, cost-cutting, and in short, sustainability. The 3D data and mapping products, above all the large-scale ones derived from aerial acquisitions (e.g. Unmanned Aerial Vehicles, UAV) can be gradually adopted even when the context is not enough accessible or standard airborne data does not fulfill the requested resolution and accuracy. Starting from the availability of large scale UAV data, the paper is mostly purposed to examine the use of tools aimed to generate DEM (Digital elevation model) from DSM (digital surface model) obtained from UAV flights. In literatures many application concern the point cloud data generation from aerial photogrammetry or airborne laser scanner. Several different filtering approaches and algorithms (filtering point along density, direction, slope) are used to derive bare-Earth, but in the test case, the high level of detail of objects, together with the complexity of high slope of ground impose some adaptation. The test is included in a decision-making processes concerning the promotion of Alpine landscape leaded through a project of sustainable mobility. Therefore the DEM generation is used to foresee a possible and sustainable path of the railway rack, achieved by a simple multi-criteria analysis performed by Geographic Information Systems (GIS) tools. In the end an important aspect of the test is the use of open source GIS tools employed in the experience.

References

  1. Boccardo, P., Chiabrando, F., Giulio Tonolo F., Lingua, A., Dutto, F., 2015, UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications. In: Sensors, vol. 15(7), pp. 15717-15737.
  2. Ismail, Z., Abdul Rahman, M. Z., Mohd Salleh, M. R., Busu, I., Amerudin, S., Wan Kadir, W. H. 2015. An improved progressive morphological filtering algorithm based on spatially-distributed slope value over tropical vegetated regions. Jurnal Teknologi, 77(26), 87-93.
  3. Regis D, 2015, Progetto di infrastrutture e territorio alpino contemporaneo, ArchAlp, 9.
  4. R. Perko, H. Raggam, KH. Gutjahr, M. Schardt, 2015. Advanced DTM generation from very high-resolution satellite stereo images, ISPRS Annals, Volume II-3/W4.
  5. K. Themistocleous, A. Agapiou, B. Cuca, D.G. Hadjimitsis, 2015. Unmanned aerial systems and spectroscopy for remote sensing applications in archaeology, ISPRS Archives, Volume XL-7/W3.
  6. Aicardi I., Boccardo P., Chiabrando F., Facello A., Gnavi L., Lingua A., Pasquale F., Maschio P., Spanò A., 2014, A didactic project for landscape heritage mapping in postdisaster management., in Applied Geomatics.
  7. S. A. Hosseini, H. Arefi, Z. Gharib, 2014. Filtering of Lidar point cloud using a strip-based algorithm in residential mountainous areas, ISPRS Archives, Volume XL-2/W3.
  8. B. Höfle, L. Griesbaum, M. Forbriger, 2013. GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru), Remote Sensing, 5, 5851-5870.
  9. N. Yastikli, I. Bagci, C. Beser, 2013. The processing of image data collected by light UAV systems for GIS data capture and updating, ISPRS Archives, Volume XL-7/W2, 2013 ISPRS2013-SSG.
  10. F. Rinaudo, F. Chiabrando, A. Lingua, A.T. Spanò. 2012. Archaeological site monitoring: UAV photogrammetry can be an answer. In: ISPRS Archives, vol. XXXIX n. B5, pp. 583-588.
  11. J. Susaki, 2012. Adaptive Slope Filtering of Airborne LiDAR Data in Urban Areas for Digital Terrain Model (DTM) Generation, Remote Sensing 2012, 4(6), 1804- 1819.
  12. K. Korzeniowska, M. Lackam, 2011. Generating DEM from Lidar data - comparison of available software tools. Archives of Photogrammetry, Cartography and Remote Sensing, Vol. 22, 2011, pp. 271-284.
  13. V. Cimmery 2010. User Guide for SAGA (version 2.0.5), in: http://sourceforge.net (Accessed 14 January 2015).
  14. G. J. Grenzdörffer, A. Engel, B. Teichert, 2008. The photogrammetric potential of low-cost UAVs in forestry and agriculture. ISPRS Archives. Vol. XXXVII. Part B1.
  15. N. Pfeifer et all. 2008. DSM / DTM Filtering, International School on Lidar Technology 2008 IIT Kanpur, India (from: http://www.iitk.ac.in/).
  16. Q. Chen, P. Gong, D. Baldocchi, G.Xie, 2007. Filtering airborne Laser scanning data with morphological methods, Photogrammetric Engineering & Remote Sensing Vol. 73, No. 2, February 2007, pp. 175-185.
  17. G. Sithole, G. Vosselman, 2004. Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds, ISPRS Journal of Photogrammetry & Remote Sensing 59 (2004) 85- 101.
  18. Botequilha-Leitão, A., Ahern, J., 2002, Applying landscape concepts and metrics in sustainable landscape planning. Landscape and Urban Planning, 59.
  19. H. Masaharu, K. Ohtsubo, 2002. A filtering method of airborne Laser scanner data for complex terrain, ISPRS Archives, Commission III, 34 (3B): 165-169.
  20. G. Sithole, 2001. Filtering of laser altimetry data using a slope adaptive filter, ISPRS Archives, Volume XXXIV-3/W4.
Download


Paper Citation


in Harvard Style

Sammartano G. and Spanò A. (2016). DEM Generation based on UAV Photogrammetry Data in Critical Areas . In Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-188-5, pages 92-98. DOI: 10.5220/0005918400920098


in Bibtex Style

@conference{gistam16,
author={Giulia Sammartano and Antonia Spanò},
title={DEM Generation based on UAV Photogrammetry Data in Critical Areas},
booktitle={Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2016},
pages={92-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005918400920098},
isbn={978-989-758-188-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - DEM Generation based on UAV Photogrammetry Data in Critical Areas
SN - 978-989-758-188-5
AU - Sammartano G.
AU - Spanò A.
PY - 2016
SP - 92
EP - 98
DO - 10.5220/0005918400920098