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Automated mapping of mineral groups and green vegetation from Landsat Thematic Mapper imagery with an example from the San Juan Mountains, Colorado
Analysis of multispectral satellite imagery allows us to identify areas covered by various types of minerals and vegetation, with results provided in image files you can use in GIS. |
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Resource potential and geology of the Grand Mesa, Uncompahgre, and Gunnison (GMUG) National Forests and vicinity, Colorado
Multi-chapter report combining geologic, geochemical, geophysical, and mining activity data. Downloadable data for coal resource information only. |
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Hydrogeochemical investigations of historic mining districts, central western slope of Colorado, including influence on surface-water quality
Geochemical analysis of mine dumps, mill tailings, mine drainage, and surface waters indicate contamination from these historic mines is generally less than that asserted or suggested by some geochemical models |
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Shapefiles to accompany Colorado Mineral Belt revisited
Based on detailed information on the location of the Tertiary intrusions and mineral deposits, and on the control provided by the Proterozoic structures, all superimposed using GIS, a new outline of the Colorado Mineral Belt is proposed. Older representations are included for comparison. Data are provided in shapefile format. |
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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
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 this area. Results are provided in ERDAS Imagine format. |
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Global Geochemical Database for Critical Minerals in Archived Mine Samples
Chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States and from archetypal deposits from 27 other countries. Data are provide in Microsoft Access, Microsoft Excel, and CSV formats. |
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