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| National Elevation Dataset | |
|---|---|
| Name | National Elevation Dataset |
| Caption | Elevation derived from the National Elevation Dataset |
| Type | Geospatial dataset |
| Released | 1999 |
| Provider | U.S. Geological Survey |
| Coverage | United States |
National Elevation Dataset The National Elevation Dataset was a continental-scale digital elevation compilation produced to support mapping and analysis across the United States. It served as a foundational United States Geological Survey product used by agencies such as the Federal Emergency Management Agency, National Aeronautics and Space Administration, and United States Forest Service for applications ranging from flood modeling to infrastructure planning. Development drew on partnerships with the National Geospatial-Intelligence Agency, state mapping bodies, and academic centers including University of Minnesota, University of Colorado Boulder, and Massachusetts Institute of Technology.
The dataset aggregated elevation information into a consistent raster framework to serve National Hydrography Dataset integration, Geographic Names Information System referencing, and interoperability with standards from the Open Geospatial Consortium, Federal Geographic Data Committee, and National Spatial Data Infrastructure. It provided seamless coverage for the Contiguous United States, Alaska, and Hawaii in project grids useful to practitioners at the Environmental Protection Agency, National Park Service, Bureau of Land Management, and United States Army Corps of Engineers. The dataset underpinned modeling efforts by groups such as the National Weather Service, United States Geological Survey Water Resources Division, and university labs at Stanford University, University of Washington, and Pennsylvania State University.
Initiated in the late 1990s, the program built on legacy products including U.S. Geological Survey topographic maps, Digital Line Graphs, and early Shuttle Radar Topography Mission derivatives. Management and modernization involved coordination among the U.S. Geological Survey, National Aeronautics and Space Administration, and state geographic information offices such as the California Geographic Information Association and Texas Natural Resources Information System. Major milestones included consolidation of disparate elevation sources, implementation of community standards from the Federal Geographic Data Committee, and transition planning concurrent with programs like the 30-meter Consortium and the later 3D Elevation Program.
Primary inputs incorporated Light Detection and Ranging surveys conducted by commercial firms, photogrammetric stereo models from National Agriculture Imagery Program imagery, and topographic contours digitized from U.S. Geological Survey mapping. Ancillary datasets included Shuttle Radar Topography Mission outputs, Landsat imagery-derived shading, and control from National Geodetic Survey monuments. Processing workflows applied gridding, hydro-enforcement, and void-filling algorithms similar to those used in projects at Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, and university centers such as University of California, Santa Barbara. Quality assurance drew on methods developed by American Society for Photogrammetry and Remote Sensing and testing with case studies in regions like Appalachian Mountains, Great Plains, and Alaska Range.
The dataset offered tiled raster coverage organized by 1-degree and 7.5-minute quadrangles to align with legacy USGS topographic map indexing and state plane systems used by New York State Department of Environmental Conservation and California Department of Water Resources. Native resolutions varied from 1/9-arc-second to 1-arc-second, reflecting input source density and regional campaigns led by state programs such as the Minnesota Geospatial Information Office and federal efforts by the Federal Aviation Administration for terrain assessment. Elevation vertical datum references included the North American Vertical Datum of 1988 and transformations tied to the National Geodetic Survey.
Distribution mechanisms used portals and services from the U.S. Geological Survey and partner clearinghouses like the Geospatial One-Stop initiative and state GIS repositories. Data were accessible via Web Map Service, Web Coverage Service, and tiled download bundles consumable by software from vendors such as Esri and open projects including QGIS and GRASS GIS. Metadata compliance followed Content Standard for Digital Geospatial Metadata and integration with catalogs like the National Spatial Data Infrastructure Clearinghouse, enabling ingestion by research centers at University of Illinois, University of Texas at Austin, and federal labs including National Center for Atmospheric Research.
Practitioners in floodplain management at Federal Emergency Management Agency, transportation planning at Department of Transportation, and wildfire modeling at United States Forest Service employed the dataset for hydrologic routing, line-of-sight studies, and terrain visualization used by organizations such as American Red Cross and utilities like Pacific Gas and Electric Company. Academic research at Massachusetts Institute of Technology, Princeton University, and University of California, Berkeley leveraged the layer for geomorphology, landslide susceptibility, and climate impact studies. Commercial uses included site selection by firms like AECOM, Jacobs Engineering, and mapping services from Google partners integrating elevation into 3D city models similar to projects in San Francisco, Washington, D.C., and New York City.
Limitations arose from heterogeneous source quality, temporal mismatches among surveys, and lower fidelity in remote regions such as parts of Alaska and Pacific Islands lacking dense LiDAR coverage. Vertical accuracy varied with input method, affecting precision-sensitive tasks performed by agencies including Federal Highway Administration and researchers at Scripps Institution of Oceanography. The dataset’s evolution led to replacement planning by the 3D Elevation Program and newer high-resolution national efforts that incorporate systematic LiDAR campaigns coordinated with state initiatives and international collaborations like those involving Natural Resources Canada and the European Space Agency for cross-border consistency.
Category:Digital elevation models