2017
DOI: 10.5194/esurf-5-791-2017
|View full text |Cite
|
Sign up to set email alerts
|

Unravelling earth flow dynamics with 3-D time series derived from UAV-SfM models

Abstract: Abstract. Accurately assessing geo-hazards and quantifying landslide risks in mountainous environments are gaining importance in the context of the ongoing global warming. For an in-depth understanding of slope failure mechanisms, accurate monitoring of the mass movement topography at high spatial and temporal resolutions remains essential. The choice of the acquisition framework for high-resolution topographic reconstructions will mainly result from the trade-off between the spatial resolution needed and the … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
44
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 34 publications
(44 citation statements)
references
References 59 publications
0
44
0
Order By: Relevance
“…These distances are not vertical (i.e. as in DEM differencing), as they account for the local surface roughness and locally variable slope, thus providing a more realistic thickness or surface change (Clapuyt et al, 2017;Lague et al, 2013). Additionally to the distance calculation, M3C2 provides spatially variable confidence intervals that help to assess the areas in which changes are statistically significant (i.e.…”
Section: Point Cloud Operationsmentioning
confidence: 99%
See 1 more Smart Citation
“…These distances are not vertical (i.e. as in DEM differencing), as they account for the local surface roughness and locally variable slope, thus providing a more realistic thickness or surface change (Clapuyt et al, 2017;Lague et al, 2013). Additionally to the distance calculation, M3C2 provides spatially variable confidence intervals that help to assess the areas in which changes are statistically significant (i.e.…”
Section: Point Cloud Operationsmentioning
confidence: 99%
“…The rate of mass transfer can be variable through time and space and depends on multiple factors, such as differential sediment evacuation or accumulation rates, 3-D deformation through either compressive or extensive flow regimes and changes in the rheological behaviour due to permafrost thawing or warming of ice (Kääb et al, 2007). Rock glacier velocities have increased considerably over the last four decades in places such as the European Alps (Delaloye et al, 2010;Roer et al, 2008), Alaska (Daanen et al, 2012) and the Tien Shan mountain range (Sorg et al, 2015). Since the last decade, and due to the high density of systematic in situ measurements, several rock glaciers in the European Alps have been identified as destabilised and significant changes in their morphology have been observed (Bodin et al, 2017;Lambiel et al, 2017;Roer et al, 2008).…”
Section: Introductionmentioning
confidence: 99%
“…Within the Entle River catchment, an earthflow named Schimbrig has been particularly active over the last 150 years, acting as a sediment factory by excavating and mobilizing sediments because of its deep rotational structure (Clapuyt et al, 2017;Lopez-Saez et al, 2017;Savi et al, 2013;Schwab et al, 2008). It is located in the first-order Schimbrig catchment, the latter draining successively into the Rossloch River and the Kleine Entle, before entering the trunk river, i.e.…”
Section: The Entle and Schimbrig Catchmentsmentioning
confidence: 99%
“…The earthflow occurs on the hillslopes of the Schimbrig ridge and is not directly connected to the Schimbrig stream, except during short episodes when superimposed debris flows occur (Schwab et al, 2008). The Schimbrig earthflow consists of a fine-grained matrix of silt and mud, with centimetric to decimetric large clasts (Clapuyt et al, 2017). The internal structure of the earthflow is complex with nested rotational units (Clapuyt et al, 2017).…”
Section: The Entle and Schimbrig Catchmentsmentioning
confidence: 99%
See 1 more Smart Citation