A spectral clustering search algorithm for predicting shallow landslide size and location
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 250103-245907-1293
- Type
- D - Journal article
- DOI
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10.1002/2014JF003137
- Title of journal
- Journal of Geophysical Research: Earth Surface
- Article number
- -
- First page
- 300
- Volume
- 120
- Issue
- 2
- ISSN
- 2169-9003
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2015
- URL
-
https://doi.org/10.1002/2014JF003137
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Applying a multi-dimensional limit-equilibrium model to make a deterministic search for landslides across a 2D landscape had not previously been attempted and was considered intractable. This paper introduces the first algorithm capable of making this search within a limit equilibrium framework. This makes it possible to predict both the size and location of shallow landslides across large domains (millions of pixels). The algorithm can recover synthetic landslides and reproduce the size and location of an observed shallow landslide. We therefore discovered that many landslide geometries are possible within a particular source zone with local peculiarities defining the final failure geometry.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -