Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data

Dates

Publication Date: 2021-02-22

Citation

Rockwell, B.W., and Gnesda, W.R., 2021, Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data: U.S. Geological Survey data release, https://doi.org/10.5066/P9ONOKKX.

Summary

Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in the western San Juan Mountains, Colorado and the Four Corners Region of the United States (Rockwell and others, 2021). Spectral index (e.g. band-ratio) results were combined into displayed mineral and vegetation groups using Boolean algebra. New analysis logic has been implemented to exploit the coastal aerosol band in Landsat 8 OLI data and identify concentrations of iron sulfate minerals. These results may indicate the presence of near-surface pyrite, which can be a potential non-point source of acid rock drainage. Map data, in [...]

Summary

Multispectral remote sensing data acquired by the Landsat 8 Operational Land Imager (OLI) sensor were analyzed using a new, automated technique to generate a map of exposed mineral and vegetation groups in the western San Juan Mountains, Colorado and the Four Corners Region of the United States (Rockwell and others, 2021). Spectral index (e.g. band-ratio) results were combined into displayed mineral and vegetation groups using Boolean algebra. New analysis logic has been implemented to exploit the coastal aerosol band in Landsat 8 OLI data and identify concentrations of iron sulfate minerals. These results may indicate the presence of near-surface pyrite, which can be a potential non-point source of acid rock drainage. Map data, in ERDAS IMAGINE (.img) thematic raster format, represent pixel values with mineral and vegetation group classifications, and can be queried in most image processing and GIS software packages.

Rockwell, B.W., Gnesda, W.R., and Hofstra, A.H., 2021, Improved automated identification and mapping of iron sulfate minerals, other mineral groups, and vegetation from Landsat 8 Operational Land Imager Data, San Juan Mountains, Colorado, and Four Corners Region: U.S. Geological Survey Scientific Investigations Map 3466, 1 sheet, scale 1:325,000, 37-p. pamphlet, https://doi.org/10.3133/sim3466.

Contacts

Point of Contact :: Albert H Hofstra
Originator :: Barnaby W Rockwell, William R Gnesda
Metadata Contact :: William R Gnesda, GS GGGSC DM Team
Data Owner :: Mineral Resources Program
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
USGS Mission Area :: Energy and Minerals
SDC Data Owner :: Geology, Geophysics, and Geochemistry Science Center

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00Readme_L8_SilvertonCO.txt “ReadMe”		4.97 KB	text/plain
L8_Silverton.png “Landsat 8 OLI (source: landsat.gsfc.nasa.gov) - Material Map”		3.01 MB	image/png
L8_US_SilvertonCO.zip “Material map of Silverton, CO and Four Corners Region”		2.86 MB	application/zip
SilvertonCO_L8_P35R34_metadata.xml “Data documentation and instructions” Original FGDC Metadata	View	28.83 KB	application/fgdc+xml

Extension: L8_Silverton_Material_Map.zip
L8_Silverton_Material_Map.sd “Map Service”		3.68 MB

Related External Resources

Type: Web Link

Large-area material maps of the conterminous United States	https://mrdata.usgs.gov/surficial-mineralogy/usminmap/
Digital maps of hydrothermal alteration type, key mineral groups, and green vegetation of the western United States derived from automated analysis of ASTER satellite data	https://doi.org/10.5066/F7CR5RK7
Digital map of iron sulfate minerals, other mineral groups, and vegetation of the Western United States derived from automated analysis of Landsat 8 satellite data	https://doi.org/10.5066/P9BYV5H4

Type: Citation

Rockwell, B.W., 2013, Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado: U.S. Geological Survey Scientific Investigations Map 3252, 25 p. pamphlet, 1 map sheet, scale 1:325,000, http://pubs.usgs.gov/sim/3252/	https://pubs.er.usgs.gov/publication/sim3252
Rockwell, B.W., 2012, Description and validation of an automated methodology for mapping mineralogy, vegetation, and hydrothermal alteration type from ASTER satellite imagery with examples from the San Juan Mountains, Colorado: U.S. Geological Survey Scientific Investigations Map 3190, 35 p. pamphlet, 5 map sheets, scale 1:100,000.	https://pubs.usgs.gov/sim/3190/

Type: Related Primary Publication

Rockwell, B.W., Gnesda, W.R., and Hofstra, A.H., 2021, Improved automated identification and mapping of iron sulfate minerals, other mineral groups, and vegetation from Landsat 8 Operational Land Imager Data, San Juan Mountains, Colorado, and Four Corners Region: U.S. Geological Survey Scientific Investigations Map 3466, 1 sheet, scale 1:325,000, 37-p. pamphlet, https://doi.org/10.3133/sim3466.	https://doi.org/10.3133/sim3466

Purpose

These data show the spatial distribution of mineral and vegetation groups modeled from Landsat 8 OLI remote sensing data covering the San Juan Mountains and Four Corners Region. Automated analysis methodologies are employed to rapidly and cost-effectively generate maps which support U.S. Geological Survey mineral resource and mineral-environmental assessments.

Digital map of iron sulfate minerals, other mineral groups, and vegetation of the San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data

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