Joint Institute for Regional Earth System Science and Engineering, University of California Los Angeles, Los Angeles, CA, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Karen E. Daniels
Physics Department, North Carolina State University, Raleigh, NC, USA
Viewed
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 781 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
777
0
4
781
0
0
HTML: 777
PDF: 0
XML: 4
Total: 781
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 22 Jan 2025)
Cumulative views and downloads
(calculated since 22 Jan 2025)
Total article views: 781 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
777
0
4
781
0
0
HTML: 777
PDF: 0
XML: 4
Total: 781
BibTeX: 0
EndNote: 0
Views and downloads (calculated since 22 Jan 2025)
Cumulative views and downloads
(calculated since 22 Jan 2025)
Viewed (geographical distribution)
Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 781 (including HTML, PDF, and XML)
Thereof 750 with geography defined
and 31 with unknown origin.
Total article views: 781 (including HTML, PDF, and XML)
Thereof 750 with geography defined
and 31 with unknown origin.
Landslide events occur when soil, rock, and debris on slopes become unstable and move downhill, often triggered by heavy rain that reduces friction. Our research evaluates landslide vulnerability using a method that analyzes the spatiotemporal dynamics of landslide-prone areas. We've developed a statistical metric to track changing conditions in these regions. This approach can aid in early warning systems, helping communities and authorities take preventive measures and minimize damage.
Landslide events occur when soil, rock, and debris on slopes become unstable and move downhill,...