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

Viewed

Total article views: 4,813 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,842 1,820 151 4,813 226 129 130
  • HTML: 2,842
  • PDF: 1,820
  • XML: 151
  • Total: 4,813
  • Supplement: 226
  • BibTeX: 129
  • EndNote: 130
Views and downloads (calculated since 19 Jul 2017)
Cumulative views and downloads (calculated since 19 Jul 2017)

Viewed (geographical distribution)

Total article views: 4,813 (including HTML, PDF, and XML) Thereof 4,474 with geography defined and 339 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Nov 2024
Download
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.