USGS 3D Geologic Model Inventory
December 14, 2022
This Webapp can be used to visualize and explore the inventory of published USGS 3D geological models. The inventory covers the time period from 2004 through 2022. The geological models vary widely in their spatial extent, type, purpose, number of subsurface units characterized, and software platforms used to create the models. Some of these characteristics can be explored through this viewer. These data were compiled as part of ongoing development of subsurface geologic information by the USGS National Cooperative Geologic Mapping Program.
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3D Geologic Models of Regions and Provinces
Water, energy, mineral resource, hazard, and land-use assessments are central to the USGS mission and increasingly rely on subsurface data and 3-D geologic models. Watershed, regional, and national assessments are facilitated the availability of 3-D geologic data and models; in a typical assessment project, numerical simulations and process models cannot proceed without subsurface data and...
National Geologic Synthesis
Surface (2D) and subsurface (3D) geologic data are critical for resource management, infrastructure design, hazards characterization, and basic earth science research. To meet these needs in a digital landscape, geologic maps must transition from static publications to machine-readable and discoverable digital databases that enable spatial analyses and queries (Shelton and others, 2022). In 2019...
Related
3D Geologic Models of Regions and Provinces
Water, energy, mineral resource, hazard, and land-use assessments are central to the USGS mission and increasingly rely on subsurface data and 3-D geologic models. Watershed, regional, and national assessments are facilitated the availability of 3-D geologic data and models; in a typical assessment project, numerical simulations and process models cannot proceed without subsurface data and...
National Geologic Synthesis
Surface (2D) and subsurface (3D) geologic data are critical for resource management, infrastructure design, hazards characterization, and basic earth science research. To meet these needs in a digital landscape, geologic maps must transition from static publications to machine-readable and discoverable digital databases that enable spatial analyses and queries (Shelton and others, 2022). In 2019...