Research Article
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Year 2018, Volume: 5 Issue: 3, 325 - 336, 02.12.2018
https://doi.org/10.30897/ijegeo.468061

Abstract

References

  • Barazzetti, L., Brovelli, M., Scaioni, M., 2008: Generation of true-orthophotos with LiDAR dense digital surface models, The Photogrammetric Journal of Finland 21(1), p. 26-34.
  • Brown, J., 2003:Aspects on true-orthophoto production. In Proceedings of the Phot. Week’03.Wichmann, Stuttgart, Germany 2003, p.205-214.
  • Dequal, S., Lingua, A., 2004: True orthophoto of the whole town of Turin, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 34(5/C15), p. 263-268.
  • Erenoglu R. C., Akcay O., Erenoglu O., 2015: Estimating of landslide by repeated GPS/GNSS measurements in the Ambaroba Region, Canakkale, NW Turkey. In Proceedings of the International Symposium on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields, Sofia, Bulgaria 2015.
  • Erenoglu, R. C., Akcay, O., Erenoglu, O., Uluocak, E. S., Karaca, Z., 2014: UAV based monitoring of Adatepe Landslide, Canakkale, NW Turkey. In Proceedings of the FIG Congress 2014, Engaging the Challenges, Enhancing the Relevance, Kuala Lumpur, Malaysia 2014.
  • Ilgar, A., Sezen Demirci, E., Duru, M., Pehlivan, Ş., Dönmez, M., Akçay, A. E., 2008. 1/100000 ölçekli Türkiye Jeoloji Haritaları, Çanakkale H15 ve H16 Paftaları. MTA, No:100Garwood, N. C. et al., 1979: Earthquake-caused landslides: a major disturbance in tropical forests, Science 205, p. 997–999.
  • Greiwe, A., Gehrke, R., 2013: Foveon Chip oder Bayer Pattern - geeignete Sensoren zur Aerophotogrammetriemit AUS. In: Photogrammetrie, Laserscanning, Optische 3D-Messtechnik -Beiträge der Oldenburger 3D-Tage 2013 (Luhmann,T., Müller, C., ed.), p. 334-343.
  • Gruen, A., Huang,X., Qin,R., Du,T.,Fang,W.,Boavida,J., Oliveira, A., 2013: Joint processing Generating a Digital Elevation Model using Unmanned Aerial System... Seite 61 of UAV imagery and terrestrial mobile mapping system data for very high resolution city modeling, ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 1(2), p. 175-182.
  • Restrepo, C. et al., 2009:Landslidingandits multi-scaleinfluences on mountainscapes, BioScience 59,p. 685-698.
  • Shortis, M., Harvey, E. S., Abdo, D., 2009: A review of underwaterstereo-image measurement for marine biology and ecology applications, Oceanogr Mar Biol AnnuRev 47,p. 257-292.
  • Sidle, R. C.,Ochiai, H., 2013:Landslides: processes, prediction, andlanduse, Water Resources Monograph 18. Washington, DC: American Geophysical Union.
  • Singh, R., Qureshi, Q., Sankar, K., Krausman, P. R., Goyal, S. P., 2013: Use of camera traps to determine dispersal of tigers in semi-arid landscape, western India, J Arid Environ 98, p.105-108.
  • Şentürk, K., and Karaköse, C., 1987: Çanakkale boğazı ve dolayının jeolojisi. MTA Rapor no: 371 (unpublished)
  • Webster, R., Oliver, M. A., 1990: Statistical methods in soil and land resources survey, Oxford University Press.

A case study on the comparison of terrestrial methods and unmanned aerial vehicle technique in landslide surveys: Sarıcaeli landslide, Çanakkale, NW Turkey

Year 2018, Volume: 5 Issue: 3, 325 - 336, 02.12.2018
https://doi.org/10.30897/ijegeo.468061

Abstract

Landslides are
natural disasters with some effects in the natural environment of the Earth. A
landslide has a structure that changes the natural topography boundaries by
releasing the forest cover and vegetation. Heavy precipitation and seismic
activities, as well as the mass movement that can be caused by landslides,
trigger the possible tendency to move the soil. The formation of the current
Digital Elevation model (DEM) of the area subject to landslides is important in
terms of determining the direction, character and effects of the landslide. With
the help of aerial photographs obtained by Unmanned Aerial Vehicle (UAV), the
production of high resolution and accurate DEMs is becoming increasingly
widespread. In this study, production and analysis of DEMs obtained from
different dated flight data and reflecting the topography of an active
landslide area were performed. Finally, it was compared with RTK-GNSS
measurement results in landslide areas. According to the results obtained in
the study, the production of DEM based on UAV provides higher accuracy at
centimeter level. In addition, the method used is more efficient, faster and lower
cost than other terrestrial techniques.

References

  • Barazzetti, L., Brovelli, M., Scaioni, M., 2008: Generation of true-orthophotos with LiDAR dense digital surface models, The Photogrammetric Journal of Finland 21(1), p. 26-34.
  • Brown, J., 2003:Aspects on true-orthophoto production. In Proceedings of the Phot. Week’03.Wichmann, Stuttgart, Germany 2003, p.205-214.
  • Dequal, S., Lingua, A., 2004: True orthophoto of the whole town of Turin, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 34(5/C15), p. 263-268.
  • Erenoglu R. C., Akcay O., Erenoglu O., 2015: Estimating of landslide by repeated GPS/GNSS measurements in the Ambaroba Region, Canakkale, NW Turkey. In Proceedings of the International Symposium on Modern Technologies, Education and Professional Practice in Geodesy and Related Fields, Sofia, Bulgaria 2015.
  • Erenoglu, R. C., Akcay, O., Erenoglu, O., Uluocak, E. S., Karaca, Z., 2014: UAV based monitoring of Adatepe Landslide, Canakkale, NW Turkey. In Proceedings of the FIG Congress 2014, Engaging the Challenges, Enhancing the Relevance, Kuala Lumpur, Malaysia 2014.
  • Ilgar, A., Sezen Demirci, E., Duru, M., Pehlivan, Ş., Dönmez, M., Akçay, A. E., 2008. 1/100000 ölçekli Türkiye Jeoloji Haritaları, Çanakkale H15 ve H16 Paftaları. MTA, No:100Garwood, N. C. et al., 1979: Earthquake-caused landslides: a major disturbance in tropical forests, Science 205, p. 997–999.
  • Greiwe, A., Gehrke, R., 2013: Foveon Chip oder Bayer Pattern - geeignete Sensoren zur Aerophotogrammetriemit AUS. In: Photogrammetrie, Laserscanning, Optische 3D-Messtechnik -Beiträge der Oldenburger 3D-Tage 2013 (Luhmann,T., Müller, C., ed.), p. 334-343.
  • Gruen, A., Huang,X., Qin,R., Du,T.,Fang,W.,Boavida,J., Oliveira, A., 2013: Joint processing Generating a Digital Elevation Model using Unmanned Aerial System... Seite 61 of UAV imagery and terrestrial mobile mapping system data for very high resolution city modeling, ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 1(2), p. 175-182.
  • Restrepo, C. et al., 2009:Landslidingandits multi-scaleinfluences on mountainscapes, BioScience 59,p. 685-698.
  • Shortis, M., Harvey, E. S., Abdo, D., 2009: A review of underwaterstereo-image measurement for marine biology and ecology applications, Oceanogr Mar Biol AnnuRev 47,p. 257-292.
  • Sidle, R. C.,Ochiai, H., 2013:Landslides: processes, prediction, andlanduse, Water Resources Monograph 18. Washington, DC: American Geophysical Union.
  • Singh, R., Qureshi, Q., Sankar, K., Krausman, P. R., Goyal, S. P., 2013: Use of camera traps to determine dispersal of tigers in semi-arid landscape, western India, J Arid Environ 98, p.105-108.
  • Şentürk, K., and Karaköse, C., 1987: Çanakkale boğazı ve dolayının jeolojisi. MTA Rapor no: 371 (unpublished)
  • Webster, R., Oliver, M. A., 1990: Statistical methods in soil and land resources survey, Oxford University Press.
There are 14 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

R. Cuneyt Erenoglu 0000-0002-8212-8379

Oya Erenoglu 0000-0003-1235-3009

Publication Date December 2, 2018
Published in Issue Year 2018 Volume: 5 Issue: 3

Cite

APA Erenoglu, R. C., & Erenoglu, O. (2018). A case study on the comparison of terrestrial methods and unmanned aerial vehicle technique in landslide surveys: Sarıcaeli landslide, Çanakkale, NW Turkey. International Journal of Environment and Geoinformatics, 5(3), 325-336. https://doi.org/10.30897/ijegeo.468061