ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-2-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 459–466, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-459-2020
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 459–466, 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-459-2020

  03 Aug 2020

03 Aug 2020

MONITORING MOUNTAIN CRYOSPHERE DYNAMICS BY TIME LAPSE STEREO PHOTOGRAMMETRY

G. Marsy1,2,3, F. Vernier1, X. Bodin2, D. Cusicanqui2,4, W. Castaings3, and E. Trouvé1 G. Marsy et al.
  • 1Univ. Savoie Mont Blanc, LISTIC, 74000 Annecy, France
  • 2CNRS, EDYTEM, Univ. Savoie Mont Blanc, 73000 Chambéry, France
  • 3TENEVIA 38240 Meylan, France
  • 4Université Grenoble Alpes, Institut de Géosciences de l’Environement (IGE, UMR 5001), 38000, Grenoble France

Keywords: Photogrammetry, Cryosphere monitoring, Stereo time lapse, Image registration

Abstract. In this paper, we propose a method to monitor surface dynamics in mountain cryosphere environments, based on a device with two fixed cameras at two different locations and with a convergent angle. Computer vision methods are used to derive pixel displacements between images taken at different times and to reconstruct the 3D geometry of the scene to convert pixel displacements into meter displacements. The proposed methods overcome the drawbacks of traditional methods such as lack of time repeatability or lack of spatial resolution. We present the results on two study sites instrumented with the device located in the French Alps: a temperate glacier and a rock glacier. We propose different ways to assess the accuracy of each processing steps solely based on stereo images. The method is validated using traditional measurements (GPS and LiDAR) and shows results comparable or even more robust than these traditional methods.