Preprint Article Version 1 This version not peer reviewed

Reconstruction of Earth Extreme Topography from UAV Structure from Motion Photogrammetry

Version 1 : Received: 1 April 2017 / Approved: 3 April 2017 / Online: 3 April 2017 (18:34:22 CEST)

How to cite: Agüera-Vega, F.; Carvajal-Ramírez, F.; Martínez-Carricondo, P.J.; Sánchez-Hermosilla López, J. Reconstruction of Earth Extreme Topography from UAV Structure from Motion Photogrammetry. Preprints 2017, 2017040012 (doi: 10.20944/preprints201704.0012.v1). Agüera-Vega, F.; Carvajal-Ramírez, F.; Martínez-Carricondo, P.J.; Sánchez-Hermosilla López, J. Reconstruction of Earth Extreme Topography from UAV Structure from Motion Photogrammetry. Preprints 2017, 2017040012 (doi: 10.20944/preprints201704.0012.v1).

Abstract

UAV photogrammetry development during the last decade has allowed to catch information at a very high spatial and temporal resolution from terrains with very difficult or impossible human access. This paper deals with the application of these techniques to study and produce information of very extreme topography which is useful to plan works on this terrain or monitoring it over the time to study its evolution. The methodology stars with the execution of UAV flights on the cut slope studied, one with the cam vertically oriented and other at 45º respect that orientation. Ground control points (GCPs) and check points (CPs) were measured for georeference and accuracy measurement purposes. Orthophoto was obtained projecting on a fitted plane to a studied surface. Moreover, since a digital surface model (DSM) is not able to represent faithfully that extreme morphology, information to project works or monitoring it has been derived from the point cloud generated during the photogrammetric process. An informatics program was developed to generate contour lines and cross sections derived from the point cloud, which was able to represent all terrain geometric characteristics, like several Z coordinates for a given planimetric (X, Y) point. Results yield a root mean square error (RMSE) in X, Y and Z directions of 0.053 m, 0.070 m and 0.061 m respectively. Furthermore, comparison between contour lines and cross sections generated from point cloud with the developed program on one hand and those generated from DSM on other hand, shown that the former are capable of representing terrain geometric characteristics that the latter cannot. The methodology proposed in this work has been shown as an adequate alternative to generate manageable information, as orthophoto, contour lines and cross sections, useful for the elaboration, for example, of projects for repairing or maintenance works of cut slopes with extreme topography.

Subject Areas

Unmanned Aerial Vehicle (UAV); UAV-photogrammetry; Structure From Motion (SfM); cut slope; extreme topography; landslide

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