USE OF A LIGHT UAV AND PHOTOGRAMMETRIC TECHNIQUES TO STUDY THE EVOLUTION OF A LANDSLIDE IN JAÉN (SOUTHERN SPAIN)

Published on Aug 19, 2015in ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
· DOI :10.5194/ISPRSARCHIVES-XL-3-W3-241-2015
T. Fernández13
Estimated H-index: 13
(University of Jaén),
J. L. Pérez7
Estimated H-index: 7
(University of Jaén)
+ 5 AuthorsM.C. Sánchez1
Estimated H-index: 1
(University of Jaén)
Sources
Abstract
This paper presents a methodology for slope instability monitoring using photogrammetric techniques with very high resolution images from an unmanned aerial vehicle (UAV). An unstable area located in La Guardia (Jaen, Southern Spain), where an active mud flow has been identified, was surveyed between 2012 and 2014 by means of four UAV flights. These surveys were also compared with those data from a previous conventional aerial photogrammetric and LiDAR survey. The UAV was an octocopter equipped with GPS, inertial units and a mirrorless interchangeable-lens camera. The flight height was 90 m, which allowed covering an area of about 250 x 100 m with a ground pixel size of 2.5 cm. The orientation of the UAV flights were carried out by means of ground control points measured with GPS, but the previous aerial photogrammetric/LiDAR flight was oriented by means of direct georeferencing with in flight positioning and inertial data, although some common ground control points were used to adjust all flights in the same reference system. The DSMs of all surveys were obtained by automatic image correlation and then the differential models were calculated, allowing estimate changes in the surface. At the same time, orthophotos were obtained so horizontal and vertical displacements between relevant points were registered. Significant displacements were observed between some campaigns (some centimeters on the vertical and meters on the horizontal). Finally, we have analyzed the relation of displacements to rainfalls in recent years in the area, finding a significant temporal correlation between the two variables.
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