Dataset Identification:
Resource Abstract:
- description: Mineral groups identified through automated analysis of remote sensing data acquired by the Advanced Spaceborne
Thermal Emission and Reflection Radiometer (ASTER) were used to generate a map showing the type and spatial distribution of
hydrothermal alteration, other exposed mineral groups, and green vegetation across the northwestern conterminous United States.
Boolean algebra was used to combine mineral groups identified through analysis of visible, near-infrared, and shortwave-infrared
ASTER data into attributed alteration types and mineral classes based on common mineralogical definitions of such types and
the minerals present within the mineral groups. Alteration types modeled in this way can be stratified relative to acid producing
and neutralizing potential to aid in geoenvironmental watershed studies. This mapping was performed in support of multidisciplinary
studies involving the predictive modeling of mineral deposit occurrence and geochemical environments at watershed to regional
scales. These studies seek to determine the relative effects of mining and non-anthropogenic hydrothermal alteration on watershed
surface water geochemistry and faunal populations. The presence or absence of hydrothermally-altered rocks and (or) specific
mineral groups can be used to model the favorability of occurrence of certain types of mineral deposits, and aid in the delineation
of permissive tracts for these deposits. These data were used as a data source for the U.S. Geological Survey (USGS) Sagebrush
Mineral-Resource Assessment (SaMiRA). This map, in ERDAS Imagine (.img) format, has been attributed by pixel value with material
identification data that can be queried in most image processing and GIS software packages. Three files are included with
this product: file with .img extension contains thematic image attributes and geographic projection data, file with .ige extension
contains the raster data, and the file with .rrd extension includes pyramid data for fast display.; abstract: Mineral groups
identified through automated analysis of remote sensing data acquired by the Advanced Spaceborne Thermal Emission and Reflection
Radiometer (ASTER) were used to generate a map showing the type and spatial distribution of hydrothermal alteration, other
exposed mineral groups, and green vegetation across the northwestern conterminous United States. Boolean algebra was used
to combine mineral groups identified through analysis of visible, near-infrared, and shortwave-infrared ASTER data into attributed
alteration types and mineral classes based on common mineralogical definitions of such types and the minerals present within
the mineral groups. Alteration types modeled in this way can be stratified relative to acid producing and neutralizing potential
to aid in geoenvironmental watershed studies. This mapping was performed in support of multidisciplinary studies involving
the predictive modeling of mineral deposit occurrence and geochemical environments at watershed to regional scales. These
studies seek to determine the relative effects of mining and non-anthropogenic hydrothermal alteration on watershed surface
water geochemistry and faunal populations. The presence or absence of hydrothermally-altered rocks and (or) specific mineral
groups can be used to model the favorability of occurrence of certain types of mineral deposits, and aid in the delineation
of permissive tracts for these deposits. These data were used as a data source for the U.S. Geological Survey (USGS) Sagebrush
Mineral-Resource Assessment (SaMiRA). This map, in ERDAS Imagine (.img) format, has been attributed by pixel value with material
identification data that can be queried in most image processing and GIS software packages. Three files are included with
this product: file with .img extension contains thematic image attributes and geographic projection data, file with .ige extension
contains the raster data, and the file with .rrd extension includes pyramid data for fast display.
Citation
- Title Digital map of hydrothermal alteration type, key mineral groups, and green vegetation of the northwestern United States derived
from automated analysis of ASTER satellite data.
-
- creation Date
2018-05-20T04:35:28.908398
Resource language:
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- Linkage for online resource
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- name Dublin Core references URL
- URL: https://doi.org/10.5066/F7CR5RK7
- 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/F7CR5RK7
- 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/F7CR5RK7
- 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: http://cmerwebmap.cr.usgs.gov/usminmap.html
- 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: http://pubs.usgs.gov/sim/3190
- protocol WWW:LINK-1.0-http--link
- link function information
- Description URL provided in Dublin Core references element.
Metadata data stamp:
2018-08-07T00:21:25Z
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 2018-08-07T00:21:25Z
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:a78d11a7-ac64-4a3c-9bac-2c99a2f9122c
Metadata record format is ISO19139 XML (MD_Metadata)