Box 2.1

Examples of USGS Spatial Datasets

The following are examples of the various types of spatial datasets maintained by the USGS. It should be noted that this is not a comprehensive list of datasets required to support the USGS Science Strategy, although many of the datasets listed are useful to several USGS Science Strategies.

National Land-Cover Dataset — A 21-class land-cover classification scheme that includes urban, agricultural, rangeland, forest, surface-water, wetlands, barren-lands, tundra, and perennial ice and snow classes.

National Orthoimagery Dataset — Data that combine the visual attributes of an aerial photograph with the spatial accuracy and reliability of a planimetric map.

National Elevation Dataset — 10-meter and 30-meter digital elevation models and some higher of resolution derived from light detection and ranging (LIDAR) and Interferometric synthetic aperture radar (IFSAR).

National Transportation Dataset — Data on roads, ports, railroads, and other features associated with the transport of people or commerce.

National Boundaries Dataset — Data on major civil areas, including states, counties, federal, and Native American lands, and incorporated places, such as cities and towns.

National Structures Dataset — Data on selected structures, including locations and characteristics (such as physical form, function, name, location) of man-made structures.

Geographic Names Information System — Federally recognized names of physical and cultural geographic features (excluding roads and highways) in the United States and their locations by state, county, USGS topographic map, and geographic coordinates.

The National Hydrography Dataset — Data on surface waters of the United States, such as lakes, ponds, streams, rivers, canals, and oceans.

Watershed Boundary Dataset — Data on hydrologic units that establish a baseline drainage boundary framework, accounting for all land and surface areas in the United States.

sure of success for TNM will be the extent to which the diverse users embrace and depend on the product” (p. 36, NRC, 2007). However, as previously stated in another previous NRC report Weaving a National Map: A Review of the U.S. Geological Survey Concept of the National Map, it is impossible to be all things to all users at the outset (NRC, 2003). TNM can best serve its users by first focus-



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