Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1803–1810, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1803-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1803–1810, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1803-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  05 Jun 2019

05 Jun 2019

MONITORING ALPINE GLACIERS FROM CLOSE-RANGE TO SATELLITE SENSORS

V. Yordanov1, D. Fugazza2, R. S. Azzoni2, M. Cernuschi3, M. Scaioni4, and G. A. Diolaiuti2 V. Yordanov et al.
  • 1Dept. of Civil and Environment Engineering (DICA), Politecnico di Milano, piazza L. da Vinci 32, 20133 Milano, Italy
  • 2Dept. of Environmental Science and Policy (DESP), Università degli studi di Milano, via Mangiagalli 34, 20133 Milano, Italy
  • 3Agricola 2000 S.C.P.A., 20067 Tribiano (MI), Italy
  • 4Dept. of Architecture, Built Environment and Construction Engineering (DABC), Politecnico di Milano, via Ponzio 31, 20133 Milano, Italy

Keywords: Close-range Photogrammetry, Drone Photogrammetry, Forni Glacier, Glaciology, Medium-resolution, Near Sensing, Remote Sensing, Satellite Imagery, Sentinel 2, Structure-from-Motion, UAV/UAS

Abstract. In this paper the use of different types of remote-sensing techniques for monitoring topographic changes of Alpine glaciers is presented and discussed. Close range photogrammetry based on Structure-from-Motion approach is adopted to process images recorded from ground-based and drone-based stations in order to output dense point clouds. These are then directly compared to detect local changes by mean of M3C2 algorithm, while digital elevation models are interpolated to find global ice thinning and retreat. Medium-resolution satellite imagery can be exploited to monitor the glacier evolution at lower resolution but including the development and collapse of large crevasses. A case study concerning the Forni Glacier in the Raethian Alps (Italy) is presented to demonstrate the feasibility of the proposed approach by adopting data sets collected from 2016 to 2018.