TMRS-GLOBAL-Landslides physical exposure (triggered by precipitations)

This dataset includes an estimate of the annual physical exposition of landslide triggered by 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. A population grid for the year 2010, provided by LandScanTM Global Population Database (Oak Ridge, TN: Oak Ridge National Laboratory). Unit is expected average annual population (2010 as the year of reference) exposed (inhabitants). 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 and aggregated to ~ 5 km resolution for distribution. Credit: GIS processing International Centre for Geohazards /NGI.

Data and Resources

Additional Info

Field Value
Last Updated June 27, 2019, 17:57 (EDT)
Created June 27, 2019, 17:57 (EDT)
GUID 46f07d76-c14a-11e5-a189-005056842fc2
access_constraints []
bbox-east-long 179.9999999999
bbox-north-lat 89.9916666667
bbox-south-lat -89.9999999999
bbox-west-long -180.0000000000
contact-email
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2016-01-22T14:54:00Z"}]
frequency-of-update
graphic-preview-description Thumbnail for 'TMRS-GLOBAL-Landslides physical exposure (triggered by precipitations)'
graphic-preview-file http://atlas.caribbeanmarineatlas.net/uploaded/thumbs/layer-46f07d76-c14a-11e5-a189-005056842fc2-thumb.png
graphic-preview-type image/png
licence []
metadata-date 2016-04-15T14:45:42Z
metadata-language
progress completed
resource-type dataset
responsible-party [{"name": "INVEMAR -LABSIS", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[-180.0, -89.9999999999], [180.0, -89.9999999999], [180.0, 89.9916666667], [-180.0, 89.9916666667], [-180.0, -89.9999999999]]]}
spatial-data-service-type
spatial-reference-system 4326
spatial_harvester true