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National Elevation Dataset (NED)

 

Standard NED for Lake Lynn WV quad Portion of Digital Raster Graphic (DRG) of Lake Lynn WV quad with Hillside Shading using NED Portion of Digital Orthophoto (DOQ) of Lake Lynn WV with hillside shading using NED Portion of Lake Lynn WV quad NED with contours extracted from the NED Portion of Digital Raster Graphic (DRG) of Lake Lynn WV quad with DOQQ overlay, Vector Data and hillside shading using NED

 

Go to National Elevation Dataset (NED) Home

Download Samples of National Elevation Dataset (NED) Data

Purchase National Elevation Dataset (NED) Data

 

The National Elevation Dataset (NED) is a new raster product assembled by the U.S. Geological Survey (USGS). NED is designed to provide National elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections were made in the NED assembly process to minimize artifacts, perform edge matching, and fill sliver areas of missing data. NED has a resolution of one arc-second (approximately 30 meters) for the conterminous United States, Hawaii, and Puerto Rico and a resolution of two arc-seconds for Alaska.

NED data sources have a variety of elevation units, horizontal datums, and map projections. In the NED assembly process the elevation values are converted to decimal meters as a consistent unit of measure, NAD83 is consistently used as horizontal datum, and all the data are recast in a geographic projection. Older DEM's produced by methods that are now obsolete have been filtered during the NED assembly process to minimize artifacts that are commonly found in data produced by these methods. Artifact removal greatly improves the quality of the slope, shaded-relief, and synthetic drainage information that can be derived from the elevation data. NED processing also includes steps to adjust values where adjacent DEM's do not match well, and to fill sliver areas of missing data between DEM's. These processing steps ensure that NED has no void areas and artificial discontinuities have been minimized.