Dataset Identification:
Resource Abstract:
- description: Map data that predict the varying likelihood of landsliding can help public agencies make informed decisions
on land use and zoning. This map, prepared in a geographic information system from a statistical model, estimates the relative
likelihood of local slopes to fail by two processes common to an area of diverse geology, terrain, and land use centered on
metropolitan Oakland. The model combines the following spatial data: (1) 120 bedrock and surficial geologic-map units, (2)
ground slope calculated from a 30-m digital elevation model, (3) an inventory of 6,714 old landslide deposits (not distinguished
by age or type of movement and excluding debris flows), and (4) the locations of 1,192 post-1970 landslides that damaged the
built environment. The resulting index of likelihood, or susceptibility, plotted as a 1:50,000-scale map, is computed as a
continuous variable over a large area (872 km2) at a comparatively fine (30 m) resolution. This new model complements landslide
inventories by estimating susceptibility between existing landslide deposits, and improves upon prior susceptibility maps
by quantifying the degree of susceptibility within those deposits. Susceptibility is defined for each geologic-map unit as
the spatial frequency (areal percentage) of terrain occupied by old landslide deposits, adjusted locally by steepness of the
topography. Susceptibility of terrain between the old landslide deposits is read directly from a slope histogram for each
geologic-map unit, as the percentage (0.00 to 0.90) of 30-m cells in each one-degree slope interval that coincides with the
deposits. Susceptibility within landslide deposits (0.00 to 1.33) is this same percentage raised by a multiplier (1.33) derived
from the comparative frequency of recent failures within and outside the old deposits. Positive results from two evaluations
of the model encourage its extension to the 10-county San Francisco Bay region and elsewhere. A similar map could be prepared
for any area where the three basic constituents, a geologic map, a landslide inventory, and a slope map, are available in
digital form. Added predictive power of the new susceptibility model may reside in attributes that remain to be explored-among
them seismic shaking, distance to nearest road, and terrain elevation, aspect, relief, and curvature.; abstract: Map data
that predict the varying likelihood of landsliding can help public agencies make informed decisions on land use and zoning.
This map, prepared in a geographic information system from a statistical model, estimates the relative likelihood of local
slopes to fail by two processes common to an area of diverse geology, terrain, and land use centered on metropolitan Oakland.
The model combines the following spatial data: (1) 120 bedrock and surficial geologic-map units, (2) ground slope calculated
from a 30-m digital elevation model, (3) an inventory of 6,714 old landslide deposits (not distinguished by age or type of
movement and excluding debris flows), and (4) the locations of 1,192 post-1970 landslides that damaged the built environment.
The resulting index of likelihood, or susceptibility, plotted as a 1:50,000-scale map, is computed as a continuous variable
over a large area (872 km2) at a comparatively fine (30 m) resolution. This new model complements landslide inventories by
estimating susceptibility between existing landslide deposits, and improves upon prior susceptibility maps by quantifying
the degree of susceptibility within those deposits. Susceptibility is defined for each geologic-map unit as the spatial frequency
(areal percentage) of terrain occupied by old landslide deposits, adjusted locally by steepness of the topography. Susceptibility
of terrain between the old landslide deposits is read directly from a slope histogram for each geologic-map unit, as the percentage
(0.00 to 0.90) of 30-m cells in each one-degree slope interval that coincides with the deposits. Susceptibility within landslide
deposits (0.00 to 1.33) is this same percentage raised by a multiplier (1.33) derived from the comparative frequency of recent
failures within and outside the old deposits. Positive results from two evaluations of the model encourage its extension to
the 10-county San Francisco Bay region and elsewhere. A similar map could be prepared for any area where the three basic constituents,
a geologic map, a landslide inventory, and a slope map, are available in digital form. Added predictive power of the new susceptibility
model may reside in attributes that remain to be explored-among them seismic shaking, distance to nearest road, and terrain
elevation, aspect, relief, and curvature.
Citation
- Title Map and map database of susceptibility to slope failure by sliding and earthflow in the Oakland area, California.
-
- creation Date
2018-05-20T02:25:19.728770
Resource language:
Processing environment:
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Metadata data stamp:
2018-08-06T19:51:04Z
Resource Maintenance Information
- maintenance or update frequency:
- notes: This metadata record was generated by an xslt transformation from a dc metadata record; Transform by Stephen M. Richard, based
on a transform by Damian Ulbricht. Run on 2018-08-06T19:51:04Z
Metadata contact
-
pointOfContact
- organisation Name
CINERGI Metadata catalog
-
- Contact information
-
-
- Address
-
- electronic Mail Address cinergi@sdsc.edu
Metadata language
eng
Metadata character set encoding:
utf8
Metadata standard for this record:
ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:
2007
Metadata record identifier:
urn:dciso:metadataabout:65fcab9c-9e40-47ea-957c-7c036d40afaf
Metadata record format is ISO19139 XML (MD_Metadata)