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

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 Western United States derived from automated analysis of Landsat 8 satellite data: U.S. Geological Survey data release, https://doi.org/10.5066/P9BYV5H4.

Summary

Multispectral remote sensing data acquired by Landsat 8 Operational Land Imager (OLI) sensor were analyzed using an automated technique to generate surficial mineralogy and vegetation maps of the conterminous western United States. Six spectral indices (e.g. band-ratios), highlighting distinct spectral absorptions, were developed to aid in the identification of mineral groups in exposed rocks, soils, mine waste rock, and mill tailings across the landscape. The data are centered on the western U.S. and cover portions of Texas, Oklahoma, Kansas, the Canada-U.S. border, and the Mexico-U.S. border during the summers of 2013 – 2014. Methods used to process the images and algorithms used to infer mineralogical composition of surficial materials [...]

Summary

Multispectral remote sensing data acquired by Landsat 8 Operational Land Imager (OLI) sensor were analyzed using an automated technique to generate surficial mineralogy and vegetation maps of the conterminous western United States. Six spectral indices (e.g. band-ratios), highlighting distinct spectral absorptions, were developed to aid in the identification of mineral groups in exposed rocks, soils, mine waste rock, and mill tailings across the landscape. The data are centered on the western U.S. and cover portions of Texas, Oklahoma, Kansas, the Canada-U.S. border, and the Mexico-U.S. border during the summers of 2013 – 2014. Methods used to process the images and algorithms used to infer mineralogical composition of surficial materials are detailed in Rockwell and others (2021) and were similar to those developed by Rockwell (2012; 2013). Final maps are provided as ERDAS IMAGINE (.img) thematic raster images and contain pixel values representing mineral and vegetation group classifications.

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,

http://doi.org/10.13140/RG.2.1.2769.9365.

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://doi.org/10.13140/RG.2.1.2507.7925.

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
USGS Program :: Mineral Resources Program
Distributor :: U.S. Geological Survey - ScienceBase
Publisher :: U.S. Geological Survey
USGS Mission Area :: Energy and Minerals
SDC Data Owner :: Geology, Geophysics, and Geochemistry Science Center

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00Readme_L8_WesternUS.txt “ReadMe”		5.2 KB	text/plain
L8_US_Northwest.zip “Material map of northwestern US”		210.5 MB	application/zip
L8_US_Southwest.zip “Material map of southwestern US”		295.13 MB	application/zip
WesternMineralMap_image.PNG “Landsat 8 OLI (source: landsat.gsfc.nasa.gov) - Material Maps”		4.6 MB	image/png
WesternMineralMaps_L8_metadata.xml “Data documentation and instructions” Original FGDC Metadata	View	32.76 KB	application/fgdc+xml

Extension: L8_Western_Material_Map.zip
L8_Western_Material_Map.sd “Map Service”		131.69 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 San Juan Mountains, Colorado, and Four Corners Region derived from automated analysis of Landsat 8 satellite data	https://doi.org/10.5066/P9ONOKKX

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

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. (Revised February 2013.) https://pubs.usgs.gov/sim/3190/	https://pubs.usgs.gov/sim/3190/

Purpose

These data show the spatial distribution of mineral and vegetation groups modeled from Landsat 8 OLI remote sensing data covering the western United States. 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 western United States derived from automated analysis of Landsat 8 satellite data

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