Landslide frequency

This dataset includes an estimate of the annual frequency of landslide triggered by both earthquakes and precipitations. It depends on the combination of trigger and susceptibility defined by six parameters: slope factor, lithological (or geological) conditions, soil moisture condition, vegetation cover, precipitation and seismic conditions. Unit is expected annual probability and percentage of pixel of occurrence of a potentially destructive landslide event x 1000000. This product was designed by International Centre for Geohazards /NGI for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing International Centre for Geohazard /NGI.

Data and Resources

This dataset has no data

Additional Info

Field Value
Source https://app.mapx.org/static.html?views=MX-LH8X6-12G9W-JL85U&zoomToViews=true#JAAc6
Author UNEP/GRID-Geneva
Maintainer UNEP/GRID-Geneva
Last Updated December 7, 2022, 08:25 (UTC)
Created December 7, 2022, 08:25 (UTC)
GUID MX-LH8X6-12G9W-JL85U
Issued 2019-05-03 12:41:09
Language EN
Modified 2022-12-01 16:43:49
Publisher email info@mapx.org
Publisher name UNEP/GRID-Geneva
Theme Web Map
data_type geospatial
keywords_m49 WLD
projects_description The Economics of Ecosystems and Biodiversity (TEEB): making nature’s values visible
projects_id MX-KTK-1VN-8L7-1NX-0Z3
projects_title TEEB: making nature’s values visible
range_end_at_year 2022
range_start_at_year 2009
source_abstract This dataset includes an estimate of the annual frequency of landslide triggered by both earthquakes and precipitations. It depends on the combination of trigger and susceptibility defined by six parameters: slope factor, lithological (or geological) conditions, soil moisture condition, vegetation cover, precipitation and seismic conditions. Unit is expected annual probability and percentage of pixel of occurrence of a potentially destructive landslide event x 1000000. This product was designed by International Centre for Geohazards /NGI for the Global Assessment Report on Risk Reduction (GAR). It was modeled using global data. Credit: GIS processing International Centre for Geohazard /NGI.
source_title Landslide frequency
spatial WLD