ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 153–160, 2021
https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 153–160, 2021
https://doi.org/10.5194/isprs-annals-V-2-2021-153-2021

  17 Jun 2021

17 Jun 2021

AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS

A. B. Voordendag1, B. Goger1, C. Klug1,2, R. Prinz1, M. Rutzinger2, and G. Kaser1 A. B. Voordendag et al.
  • 1Department of Atmospheric and Cryospheric Sciences (ACINN), University of Innsbruck, Austria
  • 2Institute of Geography, University of Innsbruck, Austria

Keywords: topographic LiDAR, RIEGL VZ-6000, terrestrial laser scanning, cryosphere, change detection and time series analysis, uncertainty analysis

Abstract. A terrestrial laser scanner (TLS) of the type RIEGL VZ-6000 has been permanently installed and automated at Hintereisferner glacier located in the Ötztal Alps, Austria, to identify snow (re)distribution from surface height changes. A first case study is presented that shows and discusses detected snow distribution at the glacier after a snowfall event, together with concurrent snow erosion and deposition caused by avalanches. The paper shows the potential of a TLS system in a high mountain environment, which is also applicable to other environmental mapping applications. It introduces the setup of the TLS system, its automation procedure, and a first and preliminary uncertainty analysis. TLS data are generally influenced by four uncertainty sources: atmospheric conditions, scanning geometry, mechanical properties, and surface reflectance properties. The first three sources have significant influence on the TLS data at Hintereisferner, whereby the total accuracy of the TLS system is estimated to be in a range of a few decimetres, subject to ongoing more detailed data analysis.