Multi-temporal 3D point cloud-based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR

• Verfasst von: Zahs, Vivien [VerfasserIn]
• Verfasst von: Hämmerle, Martin [VerfasserIn]
• Verfasst von: Anders, Katharina [VerfasserIn]
• Verfasst von: Hecht, Stefan [VerfasserIn]
• Verfasst von: Sailer, Rudolf [VerfasserIn]
• Verfasst von: Rutzinger, Martin [VerfasserIn]
• Verfasst von: Williams, Jack G. [VerfasserIn]
• Verfasst von: Höfle, Bernhard [VerfasserIn]
• Titel: Multi-temporal 3D point cloud-based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR
• Verf.angabe: Vivien Zahs, Martin Hämmerle, Katharina Anders, Stefan Hecht, Rudolf Sailer, Martin Rutzinger, Jack G. Williams, Bernhard Höfle
• E-Jahr: 2019
• Jahr: July/September 2019
• Umfang: 17 S.
• Fussnoten: Online veröffentlicht: 11. Juli 2019 ; Gesehen am 29.07.2024
• Titel Quelle: Enthalten in: Permafrost and periglacial processes
• Ort Quelle: New York, NY : Wiley, 1990
• Jahr Quelle: 2019
• Band/Heft Quelle: 30(2019), 3 vom: Juli/Sept., Seite 222-238
• ISSN Quelle: 1099-1530
• DOI: doi:10.1002/ppp.2004
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: 3D
• Sach-SW: Äußeres Hochebenkar
• Sach-SW: geomorphic change analysis
• Sach-SW: LiDAR
• Sach-SW: point cloud
• Sach-SW: rock glacier
• K10plus-PPN: 1896852874

Abstract

Change analysis of rock glaciers is crucial to analyzing the adaptation of surface and subsurface processes to changing environmental conditions at different timescales because rock glaciers are considered as potentially unstable slopes and solid water reservoirs. To quantify surface change in complex surface topographies with varying surface orientation and roughness, a full three-dimensional (3D) change analysis is required. This study therefore proposes a novel approach for accurate 3D point cloud-based quantification and analysis of geomorphological activity on rock glaciers. It is applied to the lower tongue area of the Äußeres Hochebenkar rock glacier, Ötztal Alps, Austria. Multi-temporal and multi-source topographic LiDAR data are used to quantify surface changes and to reveal their spatial and temporal characteristics at different timescales within the period 2006-2018. LiDAR-based examinations are complemented with subsurface characteristics obtained from electrical resistivity tomography. This combined approach reveals active and variable spatial and temporal surface dynamics in the investigated area, with minimum detectable change between 0.09 and 0.65 m at 95% confidence. Given that this approach overcomes current uncertainties in established methods of differentiating complex rock glacier surfaces, we consider it a valuable addition that can be applied to objects of similar properties such as landslides or glaciers.