Data and Tools
Biology and Ecosystems Data
Hydrography Data and More...
USGS is a primary source of Geographic Information Systems (GIS) Data. Our data and information is presented both spatially and geographically including The National Map, Earth Explorer, GloVIS, LandsatLook, and much more. Start exploring by topic below.
The 3DEP products and services available through The National Map consist of lidar point clouds (LPC), standard digital elevation models (DEMs) at various horizontal resolutions, elevation source and associated datasets, an elevation point query service and bulk point query service. All 3DEP products are available, free of charge and without use restrictions.
Interactive maps and downloadable data for regional and global geology, geochemistry, geophysics, and mineral resources. Includes web services providing data for users of Geographic Information System software (GIS). Links to portals for minerals information, geochemical data, and geophysical data.
Orthoimagery data typically are high resolution aerial images that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map. The National Map offers public domain, 1-meter orthoimagery for the conterminous United States with many urban areas and other locations at 2-foot or finer resolution.
The GAP/LANDFIRE National Terrestrial Ecosystems represents a highly thematically detailed land cover map of the U.S. This dataset is produced by the U.S. Geological Survey in collaboration with the LANDFIRE Program. The spatial data layer was created using Landsat satellite imagery and a detailed vegetation and land use classification system.
The Protected Areas Database of the United States (PAD-US) Viewer provides a spatially explicit inventory that lets any user explore the protected areas network anywhere in the United States and allows them to easily use this inventory in conservation, land management, planning, recreation and other uses.
The National Map offers a collection of small-scale datasets, most of which are at 1:1,000,000. The National Map publishes two data collections at one million-scale: one for Global Map users and one for National Map users. In terms of vector geometry, the lines, points, and areas in these data collections are identical. The difference is in the attributes assigned to these features.
The Hurricane Sandy Spatial Data Mapping Application showcases data and analytical products from Aerial reconnaissance imagery; Environmental Contaminants; and Reproductive success of piper plovers.
Welcome to the Nonindigenous Aquatic Species (NAS) information resource for the United States Geological Survey. Located at Gainesville, Florida, this site has been established as a central repository for spatially referenced biogeographic accounts of introduced aquatic species.
Data and web services from NFHP’s 2010 and 2015 assessments of streams and estuaries, as well as other data contributed by Fish Habitat Partnerships, are available for download and use via the NFHP Data System. The results of the national assessment can also be viewed online using the National Assessment Results Viewer.
The Science in the Great Lakes (SiGL) Mapper is a data-discovery tool that provides searchable access to detailed, project-specific information about what, where, when, and how GL data were collected and connects users with data repositories, publications, and contact information so they can easily access the project’s results.
The FishVis Mapper is the product of an Upper Midwest and Great Lakes LCC project, “A Regional Decision Support Tool for Identifying Vulnerabilities of Riverine Habitat and Fishes to Climate Change” that developed an approach for predicting fish species occurrence under current climate conditions and project how fish species occurrence may change under future climate conditions.
This mapper displays SPARROW nutrient load and yield data and the importance of various nutrient sources for the RARB, given nutrient inputs similar to 2002. Rankings can be shown by country, state/province, HUC4, HUC8, and catchment. Nutrient data can be explored using maps and interactive graphs and tables. Modeling results can be exported as an Excel spreadsheet or a geospatial dataset.