The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1003–1008, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1003-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1003–1008, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-1003-2022
 
30 May 2022
30 May 2022

COMBINING UNMANNED AERIAL SYSTEMS AND STRUCTURE FROM MOTION PHOTOGRAMMETRY TO RECONSTRUCT THE GEOMETRY OF GROINS

D. Gonçalves1,2, G. Gonçalves1,3, J. Pérez-Alvárez4, M. C. Cunha2, and U. Andriolo1 D. Gonçalves et al.
  • 1INESC Coimbra, Dept. of Electrical and Computer Engineering, Polo 2, 3030-290 Coimbra, Portugal
  • 2Dept. of Civil Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
  • 3Dept. of Mathematics, University of Coimbra, 3001-501 Coimbra, Portugal
  • 4Graphic Expression Dept., University Centre of Merida (CUM), University of Extremadura, 06800 Badajoz, Spain

Keywords: drones, coastal engineering, survey, Structure from Motion, Digital Surface Model, monitoring

Abstract. In the context of coastal environment, the combined use of Unmanned Aerial Systems (UAS) with Structure-from-Motion (SfM) photogrammetry has been demonstrated to be a suitable tool to collect accurate geoinformation. This work aims at investigating the effectiveness of UAS survey to accurately map the geometry of rouble mound groins for monitoring the structural integrity. A set of nadiral images was processed through SfM photogrammetry to obtain the Digital Surface Model (DSM) of the groin. The DSM accuracy was evaluated through the comparison of five profiles measured by the traditional GNSS technique. Overall, vertical accuracy returned a root mean square error of 2.6 cm. The results suggest that UAS combined with SfM photogrammetry can improve the current monitoring of coastal engineering structures by providing high accurate geospatial products.