Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 201-206, 2011
https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-201-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
06 Sep 2012
SURVEYING A LANDSLIDE IN A ROAD EMBANKMENT USING UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY
F. Carvajal, F. Agüera, and M. Pérez ESI – Dept. of Rural Engineering, University of Almeria, Crta. Sacramento sn, 04120 Almeria, Spain
Keywords: UAV Photogrammetry, Landslide, Road Embankment Abstract. Most of the works of civil engineering, and some others applications, need to be designed using a basic cartography with a suitable scale to the accuracy and extension of the plot.
The Unmanned Aerial Vehicle (UAV) Photogrammetry covers the gap between classical manned aerial photogrammetry and hand- made surveying techniques because it works in the close-range domain, combining aerial and terrestrial photogrammetry, but also introduces low-cost alternatives.
The aim of this work is developing of an accurate and low-cost method to characterize landslides located on the size of a road. It was applied at the kilometric point 339 belonging to the A92 dual carriageway, in the Abla municipal term, province of Almeria, Spain. A photogrammetric project was carried out from a set of images taken from an md4-200 Microdrones with an on-board calibrated camera 12 Megapixels Pentax Optio A40. The flight was previously planned to cover the whole extension of the embankment with three passes composed of 18 photos each one. All the images were taken with the vertical axe and it was registered 85% and 60% longitudinal and transversal overlaps respectively.
The accuracy of the products, with planimetric and altimetric errors of 0.049 and 0.108m repectively, lets to take measurements of the landslide and projecting preventive and palliative actuations.

Conference paper (PDF, 1156 KB)


Citation: Carvajal, F., Agüera, F., and Pérez, M.: SURVEYING A LANDSLIDE IN A ROAD EMBANKMENT USING UNMANNED AERIAL VEHICLE PHOTOGRAMMETRY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-1/C22, 201-206, https://doi.org/10.5194/isprsarchives-XXXVIII-1-C22-201-2011, 2011.

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