Web Tools

The Alaska Geochemical Database Version 4.0 (AGDB4) contains geochemical data compilations in which each geologic material sample has one “best value” determination for each analyzed species. Best values are for mineral exploration and assessment purposes and should not be assumed to be appropriate for other uses.

This web application, a summarized compilation of central Colorado water chemistry datasets from USGS and EPA, identifies legacy mine sites within the headwaters of central Colorado that could be good candidates for future remediation work based on stream metal concentrations, the number and complexity of mine features, and the potential for high natural background metal concentrations.

Airborne electromagnetic and magnetotelluric geophysical surveys were conducted from 2018 to 2019 in Arrastra Gulch along the southern margins of the San Juan and Silverton calderas. This scene provides 3-D data integration combining electromagnetic data, geologic and historical mine mapping, and high-resolution drone imagery.

This is a web application providing interactive search, query, and download of the Airborne Geophysical Survey Inventory of the Conterminous United States, Alaska, Hawaii, and Puerto Rico (Johnson and others, 2019). 

The USGS Mississippi Alluvial Plain (MAP) Regional Water Availability Study began airborne geophysical mapping to obtain high-resolution information about the hydrogeologic structure and properties of the aquifer. This geonarrative showcases the geophysical data collected in this effort and provides a three-dimensional view into the Mississippi Alluvial Plain subsurface. 

A high-resolution airborne and ground-based geophysical survey was conducted near Shellmound, Mississippi as part of the Mississippi Alluvial Plain (MAP) Regional Water Availability Study. This geonarrative showcases the geophysical data used in support of this effort, compiles complementary datasets, and provides additional resources to the user.

References for material identification in remote sensing images. The library contains spectral reflectance data for of hundreds of materials, including minerals, vegetation, organic and volatile compounds, and man-made materials.