Abstract

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.

Highlights

  • 1.1 Monitoring river morphologyRiver-channel morphology influences flow, flooding patterns, rates of erosion, sediment transport and deposition

  • An understanding of channel morphology and its response to anthropogenic and natural disturbances is imperative for effective watershed management and conservation

  • Accurate computation of the flight trajectory is key for the quality of the final point cloud. This processing was carried out by Magnus Bremer from the Remote Sensing and Geomatics group of the Austrian Academy of Science; the results were checked against a ground control field

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Summary

Monitoring river morphology

River-channel morphology influences flow, flooding patterns, rates of erosion, sediment transport and deposition. Previous studies documented a range of methodological challenges that need to be addressed to achieve reliable results (Eltner et al, 2016; James and Robson, 2014; Smith et al, 2016) Since these might significantly limit data suitability for the intended application, further investigations into methodological processes are needed. Technological progress and miniaturisation of sensors, such as the appearance of high-performance, miniature inertial measurement units (IMU), enabled the development of UAV-borne LiDAR systems. Many of these unmanned laser scanning (ULS) systems are still unreliable and at an experimental stage, operating lower-grade LiDAR sensors commonly used in robotics applications. It can be used to develop and test methods for 3D surface change analysis

Background and study site
DATA ACQUISITION
Ground control
Structure of the paper
UAV-borne LiDAR acquisition
UAV photogrammetry
Photogrammetric workflows
UAV-borne LiDAR
Photogrammetric and LiDAR point clouds comparison
LiDAR simulation
CONCLUSIONS
Full Text
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