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Increasing Spatio-Temporal Resolution for Monitoring Alpine Solifluction Using Terrestrial Laser Scanners and 3D Vector Fields
- Source :
- Remote Sensing; Volume 13; Issue 6; Pages: 1192, Remote Sensing, Vol 13, Iss 1192, p 1192 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- This article investigates the usage of terrestrial laser scanner (TLS) point clouds for monitoring the gradual movements of soil masses due to freeze–thaw activity and water saturation, commonly referred to as solifluction. Solifluction is a geomorphic process which is characteristic for hillslopes in (high-)mountain areas, primarily alpine periglacial areas and the arctic. The movement can reach millimetre-to-centimetre per year velocities, remaining well below the typical displacement mangitudes of other frequently monitored natural objects, such as landslides and glaciers. Hence, a better understanding of solifluction processes requires increased spatial and temporal resolution with relatively high measurement accuracy. To that end, we developed a workflow for TLS point cloud processing, providing a 3D vector field that can capture soil mass displacement due to solifluction with high fidelity. This is based on the common image-processing techniques of feature detection and tracking. The developed workflow is tested on a study area placed in Hohe Tauern range of the Austrian Alps with a prominent assemblage of solifluction lobes. The derived displacements were compared with the established geomonitoring approach with total station and signalized markers and point cloud deformation monitoring approaches. The comparison indicated that the achieved results were in the same accuracy range as the established methods, with an advantage of notably higher spatial resolution. This improvement allowed for new insights considering the solifluction processes.
- Subjects :
- 010504 meteorology & atmospheric sciences
0211 other engineering and technologies
Point cloud
3D vector fields
02 engineering and technology
Solifluction
01 natural sciences
Deformation monitoring
point clouds
change detection
lcsh:Science
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Remote sensing
geography
geography.geographical_feature_category
total station
terrestrial laser scanning
deformation monitoring
geodetic network
LiDAR
solifluction lobes
feature detection and tracking
Landslide
Glacier
Lidar
Temporal resolution
General Earth and Planetary Sciences
lcsh:Q
Change detection
Geology
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Database :
- OpenAIRE
- Journal :
- Remote Sensing; Volume 13; Issue 6; Pages: 1192
- Accession number :
- edsair.doi.dedup.....c514e5108b6397d4a186c9a527db5d0d
- Full Text :
- https://doi.org/10.3390/rs13061192