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Title:

Performance Testing of Optical Flow Time Series Analyses Based on a Fast, High-Alpine Landslide

Author(s):
Hermle, D., Gaeta, M., Krautblatter, M., Mazzanti, P., and Keuschnig, M.:
Abstract:
Accurate remote analyses of high-alpine landslides are a key requirement for future alpine safety. In critical stages of alpine landslide evolution, UAS (unmanned aerial system) data can be employed using image registration to derive ground motion with high temporal and spatial resolution. However, classical area-based algorithms suffer from dynamic surface alterations and their limited velocity range restricts detection, resulting in noise from decorrelation and hindering their application...     »
Keywords:
digital image correlation; phase correlation; optical flow; time series image stack; landslides; ground motion identification; displacement mapping; UAS
Published as:
Peer-reviewd research article
Month:
Jan
Year:
2022
Notes:
Supplementary Material: GIFs showing (i) UAS multi-hillshades [0.16 m] of 13 July 2018; 24 July 2019; 4 September 2019; 8 July 2020; 8 September 2020. (ii) showing DIS derived total displacement (transparent) superimposed on UAS multi-hillshades [0.16 m] for the corresponding time interval (I: 13 July 2018–24 July 2019, 376 d; II: 24 July 2019–4 September 2019, 42 d; III: 4 September 2019–8 July 2020, 308 d; IV: 8 July 2020–8 September 2020, 62 d). (iii) showing PC derived total displa...     »
URL:
https://doi.org/10.3390/rs14030455
Language:
de
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