Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling

J. N. Jones; S. J. Boulton; G. L. Bennett; M. Stokes; M. R.Z. Whitworth

doi:10.1029/2021jf006067

Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling

J. N. Jones^*
, S. J. Boulton
, G. L. Bennett
, M. Stokes
, M. R.Z. Whitworth

^*Corresponding author for this work

School of Geography, Earth and Environmental Sciences

Research output: Contribution to journal › Article › peer-review

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Original language	English
Number of pages	0
Journal	Journal of Geophysical Research. Earth Surface
Volume	126
Issue number	7
DOIs	https://doi.org/10.1029/2021jf006067
Publication status	Published - Jul 2021

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10.1029/2021jf006067

Jones et al 2021JF006067Final published version, 5.97 MB

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title = "Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling",

author = "Jones, \{J. N.\} and Boulton, \{S. J.\} and Bennett, \{G. L.\} and M. Stokes and Whitworth, \{M. R.Z.\}",

year = "2021",

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doi = "10.1029/2021jf006067",

language = "English",

volume = "126",

journal = "Journal of Geophysical Research. Earth Surface",

issn = "2169-9003",

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T1 - Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling

AU - Jones, J. N.

AU - Boulton, S. J.

AU - Bennett, G. L.

AU - Stokes, M.

AU - Whitworth, M. R.Z.

PY - 2021/7

Y1 - 2021/7

UR - https://pearl.plymouth.ac.uk/gees-research/507/

U2 - 10.1029/2021jf006067

DO - 10.1029/2021jf006067

M3 - Article

SN - 2169-9003

VL - 126

JO - Journal of Geophysical Research. Earth Surface

JF - Journal of Geophysical Research. Earth Surface

IS - 7

ER -

Temporal Variations in Landslide Distributions Following Extreme Events: Implications for Landslide Susceptibility Modeling

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Temporal variations in landslide distributions following extreme events: implications for landslide susceptibility modelling

Cite this