Articles | Volume 6, issue 1
https://doi.org/10.5194/esurf-6-101-2018
https://doi.org/10.5194/esurf-6-101-2018
Research article
 | 
26 Feb 2018
Research article |  | 26 Feb 2018

Optimising 4-D surface change detection: an approach for capturing rockfall magnitude–frequency

Jack G. Williams, Nick J. Rosser, Richard J. Hardy, Matthew J. Brain, and Ashraf A. Afana

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jack Williams on behalf of the Authors (21 Oct 2017)  Author's response   Manuscript 
ED: Reconsider after major revisions (18 Nov 2017) by Carlos Castillo
AR by Jack Williams on behalf of the Authors (14 Dec 2017)  Manuscript 
ED: Publish subject to technical corrections (22 Jan 2018) by Carlos Castillo
ED: Publish subject to technical corrections (23 Jan 2018) by Tom Coulthard (Editor)
AR by Jack Williams on behalf of the Authors (23 Jan 2018)  Manuscript 
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Short summary
We present a method to analyse surface change using 3-D data collected at hourly intervals. This is applied to 9000 surveys of a failing rock slope, acquired over 10 months. A higher proportion and frequency of small rockfall is observed than in less-frequent (e.g. monthly) monitoring. However, quantifying longer-term erosion rates may be more suited to less-frequent data collection, which contains lower accumulative errors due to the number of surveys and the lower proportion of small events.