UNMANNED AERIAL VEHICLES FOR GEOLOGICAL APPLICATIONS


Published: Jul 27, 2016
Keywords:
Landslide open-pit mine monitoring airphoto UAV
K.G. Nikolakopoulos
I. Koukouvelas
N.G. Argyropoulos
Abstract

Remote Sensing and photogrammetric techniques have always been used in geological applications. Current advancements in the technology behind Unmanned Aerial Vehicles (UAVs), in accordance with the consecutive increase in affordability of such devices and the availability of photogrammetric software, makes their use for large or small scale land mapping more and more popular. With the UAVs being used for mapping, the problems of increased costs, time consumption and the possible accessibility problems -due to steep terrain-, are all solved at once. In this study, a custom-made UAV with 2 cameras onboard, is used to monitor two complex –regarding their topography- regions in Western Greece. One open pit limestone mine and a landslide occurring on sandy-clayous sediments. Both regions were mapped using surveying instruments like tachymeters and geodetic GPS, as well as using the aforementioned UAV system. 3D models of both regions were created using off-the-shelf photogrammetric software. For the creation of the 3D models, multiple targets were placed on the ground, to indicate GCPs with precisely known coordinates that could be identified in the high-resolution air photos, in order to maintain low Root Mean Square Error, while creating the DSMs and Orthophotos. In addition, the fish-eye effect caused by the cameras’ wide-angle lens was taken into consideration, regarding whether or not it affects the models’ overall geometric accuracy. Finally, the 3D models were compared to the survey measurements and the results are presented in this paper.  

Article Details
  • Section
  • Remote Sensing and GIS
Downloads
Download data is not yet available.
References
Argyropoulos, N.G., Nikolakopoulos, K.G. and Dimitropoulou, K., 2014. Open-pit mine monitoring
using remote sensing and GIS, Proceedings of the 5th international workshop of the EARSeL
Special Interest Group “Geological Applications”, ISBN 978-83-63245-69-6, 29-34.
Belardinelli, M.E., Sandri, L. and Baldi, P., 2003. The major event of the 1997 Umbri-Marche (Italy)
sequence: what could we learn from DInSAR and GPS data?, Geophysical Journal
International, 153(1), 242-252.
Bonifazi, G., Cutaia, L., Massacci, P. and Roselli, I., 2003. Monitoring of abandoned quarries by
remote sensing and in situ surveying, Ecological modelling, 170(2), 213-218.
Booth, A.M., Lamb, M.P., Avouac, J.P. and Delacourt, C., 2013. Landslide velocity, thickness, and
rheology from remote sensing: La Clapière landslide, France, Geophysical Research Letters,
(16), 4299-4304.
Liu, C.C., Wu, C.A., Shieh, M.L., Liu, J.G., Lin, C.W. and Shieh, C.L., 2005. Monitoring the illegal
quarry mining of gravel on the riverbed using daily revisit FORMOSAT-2 imagery. In:
Geoscience and Remote Sensing Symposium, 2005, IGARSS'05, Proceedings 2005 IEEE
International, 3, 1777-1780.
Cheok, G.S., Leigh, S., and Rukhin, A., 2002. Calibration experiments of a Laser Scanner, NASA
STI/Recon Technical Report, 2.
Delacourt, C., Allemand, P., Berthier, E., Raucoules, D., Casson, B., Grandjean, P. and Varel, E.,
Remote-sensing techniques for analysing landslide kinematics: a review, Bulletin de
la Société Géologique de France, 178(2), 89-100.
IGME Mapsheet Amalias, 1993. Geological Map of Greece1/50.000, Publication: Institute of
Geology and Mineral Exploration IGME.
IGME Mapsheet Nea Manolas, 1977. Geological Map of Greece1/50.000, Publication: Institute of
Geology and Mineral Exploration IGME.
Kääb, A., 2002. Monitoring high-mountain terrain deformation from repeated air-and spaceborne
optical data: examples using digital aerial imagery and ASTER data, ISPRS Journal of
Photogrammetry and remote sensing, 57(1), 39-52.
Koruyan, K., Deliormanli, A.H., Karaca, Z., Momayez, M., Lu, H. and Yalçin, E., 2012. Remote
sensing in management of mining land and proximate habitat, Journal of the Southern
African Institute of Mining and Metallurgy, 112(7), 667-672.
Lichti, D.D., Gordon, S.J. and Tipdecho, T., 2005. Error models and propagation in directly
georeferenced terrestrial laser scanner networks, Journal of surveying engineering, 131(4),
-142.
Liu, Z.G., Bian, Z.F., Lv, F.X. and Dong, B.Q., 2013. Subsidence monitoring caused by repeated
excavation with time-series DInSAR [J], Journal of Mining & Safety Engineering, 3, 015.
Nikolakopoulos, K.G., Tsombos, P.I. and Vaiopoulos, A.D., 2010. Monitoring a quarry using high
resolution data and GIS techniques, In: Remote Sensing, International Society for Optics and
Photonics, 78310R-78310R
Nikolakopoulos, G.K., Choussiafis, Ch. and Karathanassi, V., 2013. Landslide detection using
ALOS optical and radar data. A case study from the ILIA Perfecture, Bulletin of the
Geological Society of Greece, XLVII, Proceedings of the 13th International Congress,
Chania, XLVII/3, 1489-1499.
Schmidt, H. and Glaesser, C., 1998. Multitemporal analysis of satellite data and their use in the
monitoring of the environmental impacts of open cast lignite mining areas in eastern
Germany, International Journal of Remote Sensing, 19(12), 2245-2260.
Sabatakakis, N., Koukis, G., Vassiliades, E. and Lainas, S., 2013. Landslide susceptibility zonation
in Greece, Natural Hazards, 65(1), 523-543.
Skarlatos, D., Procopiou, E., Stavrou, G. and Gregoriou, M., 2013. Accuracy assessment of
minimum control points for UAV photography and georeferencing, In: First International
Conference on Remote Sensing and Geoinformation of Environment, International Society
for Optics and Photonics, 879514-879514.
Tang, F., Chen, Z. and Wu, H., 2012. Application of GPS/InSAR fusion technology in dynamic
monitoring of mining subsidence in western mining areas, 2nd International Conference on
Consumer Electronics, Communications and Networks, CECNet 2012, Proceedings, art. no.
, 2420-2423.
Yue, H., Liu, G., Guo, H., Li, X., Kang, Z., Wang, R. and Zhong, X., 2011. Coal mining induced
land subsidence monitoring using multiband spaceborne differential interferometric synthetic
aperture radar data, Journal of Applied Remote Sensing, 5(1), art. no. 053518.
Wu, H., Zhang, Y. and Zhong, F., 2012. Monitoring mine subsidence with time-series SAR
interferometry, Advanced Materials Research, 524-527, 618-621
Most read articles by the same author(s)