Dataset Identification:
Resource Abstract:
- description: One of the largest hydraulic mines (1.6 km2) is located in California s Sierra Nevada within the Humbug Creek
watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP s denuded and dissected landscape is composed of weathered
Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in
more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic
map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation.
The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic position index
(TPI) was created using focal statistics to compare the elevations across the study area. We calculated a fine-scale TPI using
a circular neighborhood with a radius of 25-meters and large-scale TPI using a circular neighborhood with a radius of 100-meters.
In the resulting raster positive TPI values are assigned to cells with elevations higher than the surrounding area and negative
TPI values are assigned to cells with elevations lower than the surrounding area. The geomorphic map was then created using
a nested conditional statement to apply classification thresholds on the basis the fine and large-scale TPI rasters and a
slope raster. Ten geomorphic feature classes were defined and the map can be symbolized by feature class. The geomorphic map
includes both channel and hillslope features and can be used to assess erosional and depositional processes at the landscape
scale.; abstract: One of the largest hydraulic mines (1.6 km2) is located in California s Sierra Nevada within the Humbug
Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP s denuded and dissected landscape is composed of weathered
Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in
more cohesive terrain. This data release includes a 2014 digital elevation model (DEM), a study area boundary, and a geomorphic
map. The 2014 DEM was derived from an available aerial LiDAR dataset collected in 2014 by the California Department of Conservation.
The geomorphic map was derived for the study area from using a multi-scale spatial analysis. A topographic position index
(TPI) was created using focal statistics to compare the elevations across the study area. We calculated a fine-scale TPI using
a circular neighborhood with a radius of 25-meters and large-scale TPI using a circular neighborhood with a radius of 100-meters.
In the resulting raster positive TPI values are assigned to cells with elevations higher than the surrounding area and negative
TPI values are assigned to cells with elevations lower than the surrounding area. The geomorphic map was then created using
a nested conditional statement to apply classification thresholds on the basis the fine and large-scale TPI rasters and a
slope raster. Ten geomorphic feature classes were defined and the map can be symbolized by feature class. The geomorphic map
includes both channel and hillslope features and can be used to assess erosional and depositional processes at the landscape
scale.
Citation
- Title Geomorphic Map Malakoff Diggins State Historic Park, California.
-
- creation Date
2018-06-08T03:41:35.886271
Resource language:
Processing environment:
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Digital Transfer Options
-
- Linkage for online resource
-
- name Dublin Core references URL
- URL: https://doi.org/10.5066/F7ST7NQZ
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Linkage for online resource
- name Dublin Core references URL
- URL: https://doi.org/10.5066/F7ST7NQZ
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-06T20:13:21Z
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 2018-08-06T20:13:21Z
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:256ee698-4e8f-42da-b585-5207e532fb59
Metadata record format is ISO19139 XML (MD_Metadata)