LAUSR

High resolution quantification of fluvial topography has been enabled by a number of geomatics technologies. Hyperscale surveys with spatial extents of <1 km2 have been widely demonstrated by means of Terrestrial Laser Scanning (TLS) and Structure from Motion (SfM) photogrammetry. Recent advances in the development and integration of Global Navigation Satellite System (GNSS), Inertial Measurement Unit (IMU) and lightweight laser scanning technologies are now resulting in the emergence of personal mobile laser scanners (MLS) that have the potential to increase data acquisition and processing rates by 1‐2 orders of magnitude compared to TLS/SfM, and thus challenge the recent dominance of these technologies. This investigation compares a personal MLS survey using a Leica Pegasus Backpack that integrates Velodyne Puck VLP‐16 sensors, and a multi‐station static TLS survey using a Riegl VZ‐1000 scanner, to produce Digital Elevation Models (DEMs) and surface sedimentology maps. The assessment is undertaken on a 500 m long reach of the braided River Feshie. Comparison to 107 independent Real Time Kinematic (RTK)‐GNSS check points resulted in similar Mean Error (ME) and Standard Deviation Error (SDE) for TLS (ME = ‐0.025 m; SDE = 0.038 m) and personal MLS (ME = ‐0.014 m; SDE = 0.019 m). Direct cloud‐to‐cloud (C2C) comparison between a sample of TLS and personal MLS observations (2.8 million points) revealed that C2C distances follows a sharply decreasing Burr distribution (a=2.35 b=3.19, rate parameter s = 9.53). Empirical relationships between sub‐metre topographic variability and median sediment grain size (10‐100 mm) demonstrate that surface roughness from personal MLS can be used to map median grain size. Differences between TLS and personal MLS empirical relationships suggest such relationships are dependent on survey technique. Personal MLS offers distinct logistical advantages over SfM photogrammetry and TLS for particular survey situations and is likely to become a widely applied technique.