The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1017–1024, 2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1017–1024, 2020

  12 Aug 2020

12 Aug 2020


D. Backes1,2, M. Smigaj3,4, M. Schimka5, V. Zahs5, A. Grznárová6, and M. Scaioni7 D. Backes et al.
  • 1Department of Engineering, University of Luxembourg, Luxembourg
  • 2Dept. of Civil, Environmental and Geomatic Engineering, University College London, UK
  • 3School of Civil Engineering and Geosciences, Newcastle University, UK
  • 4JSPS International Research Fellow, Faculty of Agriculture, Kyushu University, Japan
  • 53DGeo Research Group, Institute of Geography, Universität Heidelberg, Germany
  • 6Department of Forest Management and Geodesy, Technical University in Zvolen, Slovakia
  • 7Department of Architecture, Built Environment and Construction Engineering, Politecnico Milano, Italy

Keywords: UAV photogrammetry, UAV-borne LiDAR, unmanned laser scanning ULS, spatio-temporal change detection, LiDAR simulations

Abstract. An efficient alternative to labour-intensive terrestrial and costly airborne surveys is the use of small, inexpensive Unmanned Aerial Vehicles (UAVs) or Remotely Piloted Aerial Systems (RPAS). These low-altitude remote sensing platforms, commonly known as drones, can carry lightweight optical and LiDAR sensors. Even though UAV systems still have limited endurance, they can provide a flexible and relatively inexpensive monitoring solution for a limited area of interest. This study investigated the applicability of monitoring the morphology of a frequently changing glacial stream using high-resolution topographic surface models derived from low-altitude UAV-based photogrammetry and LiDAR. An understanding of river-channel morphology and its response to anthropogenic and natural disturbances is imperative for effective watershed management and conservation. We focus on the data acquisition, processing workflow and highlight identified challenges and shortcomings. Additionally, we demonstrate how LiDAR data acquisition simulations can help decide which laser scanning approach to use and help optimise data collection to ensure full coverage with desired level of detail. Lastly, we showcase a case study of 3D surface change analysis in an alpine stream environment with UAV-based photogrammetry. The datasets used in this study were collected as part of the ISPRS Summer School of Alpine Research, which will continue to add new data layers on a biyearly basis. This growing data repository is freely available for research.