Automated terrestrial laser scanning with near-real-time change detection – monitoring of the Séchilienne landslide

We present an automated terrestrial laser scanning (ATLS) system with automatic near-real-time change detection processing. The ATLS system was tested on the Séchilienne landslide in France for a 6-week period with data collected at 30 min intervals. The purpose of developing the system was to fill...

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Vydáno v:Earth surface dynamics Ročník 5; číslo 2; s. 293 - 310
Hlavní autoři: Kromer, Ryan A., Abellán, Antonio, Hutchinson, D. Jean, Lato, Matt, Chanut, Marie-Aurelie, Dubois, Laurent, Jaboyedoff, Michel
Médium: Journal Article
Jazyk:angličtina
Vydáno: Gottingen Copernicus GmbH 24.05.2017
Copernicus Publications
Témata:
Atmospheric conditions
Automation
Change detection
Deformation
Detection
Earth
Earth science
Earth surface
Fluctuations
Interferometric synthetic aperture radar
Interferometry
Landslides
Landslides & mudslides
Laser applications
Lasers
Monitoring
Monitoring systems
Radar
Rain
Rainfall
Real time
Rockfall
SAR (radar)
Scanning
Slope processes
Terrestrial environments
Velocity
France
ISSN:2196-632X, 2196-6311, 2196-632X
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Popis
Shrnutí:We present an automated terrestrial laser scanning (ATLS) system with automatic near-real-time change detection processing. The ATLS system was tested on the Séchilienne landslide in France for a 6-week period with data collected at 30 min intervals. The purpose of developing the system was to fill the gap of high-temporal-resolution TLS monitoring studies of earth surface processes and to offer a cost-effective, light, portable alternative to ground-based interferometric synthetic aperture radar (GB-InSAR) deformation monitoring. During the study, we detected the flux of talus, displacement of the landslide and pre-failure deformation of discrete rockfall events. Additionally, we found the ATLS system to be an effective tool in monitoring landslide and rockfall processes despite missing points due to poor atmospheric conditions or rainfall. Furthermore, such a system has the potential to help us better understand a wide variety of slope processes at high levels of temporal detail.
Bibliografie:ObjectType-Article-1
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content type line 14
ISSN:2196-632X
2196-6311
2196-632X
DOI:10.5194/esurf-5-293-2017