Mapping, Remote Sensing, and Geospatial Data
Data about Earth and its resources are only useful if available in a format that is understandable and accessible. We provide the Nation with ready access to natural science information that supports smart decisions about how to respond to natural risks and manage natural resources.
This map shows the distribution of selected iron-bearing minerals and other materials derived from analysis of HyMap imaging spectrometer data of Afghanistan.
Surface Materials Map of Afghanistan: Carbonates, Phyllosilicates, Sulfates, Altered Minerals, and Other Materials
This map shows the distribution of selected carbonates, phyllosilicates, sulfates, altered minerals, and other materials derived from analysis of HyMap imaging spectrometer data of Afghanistan.
Topographic maps are a signature product of the USGS. They were essential for integrating and analyzing place-based information, and were widely used by receationalists. After 125-year legacy of topographic mapping (1884-2009), the USGS embarked on an innovative future of integrating historical maps with computer-generated maps from a national geographical information system (GIS) database.
This mapper provides access to over 1.5 million sites contained in the USGS National Water Information System (NWIS), including sites where surface-water, groundwater, springs, and atmospheric data has been collected.
Digital map of aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming
Digital map of aquifer boundary for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming - This digital data set represents the extent of the High Plains aquifer in the central United States
Downloadable Digital Data representing Sensitivity of Ground Water to Contamination in Lawrence County, SD can be downloaded by clicking the links below.
sd_lcsens_pol - Polygons Representing Sensitivity of Ground Water to Contamination
sd_lcsens_da - Polygons Representing Drainage Areas Upstream from Potential Streamflow-loss Zones
sd_lcsens_lz - Arcs Representing Potential Streamflow-loss Zones