Title: Grayscale Puerto Rico and the U.S. Virgin Islands Shaded Relief, 200-Meter Resolution
- Raster data
- 2005
- Not owned by MIT (Owned by Stanford)
Dates
- Issued: 2005
- Coverage: 2002
Publishers
- National Atlas of the United States
Summary
The grayscale Puerto Rico and U.S. Virgin Islands shaded relief data were derived from National Elevation Dataset (NED) data, and show the terrain of Puerto Rico and U.S. Virgin Islands at a resolution of 200 meters. The NED is a raster product assembled by the U.S. Geological Survey, designed to provide national elevation data in a seamless form with a consistent datum, elevation unit, and projection. Data corrections made in the NED assembly process minimize artifacts, permit edge matching, and fill sliver areas of missing data. This layer is part of the 1997-2014 edition National Atlas of the United States. The grayscale shaded relief images were developed to portray the terrain of the United States. They are intended for visual purposes only. The original National Elevation Dataset (NED) data must be used for conducting analysis and determining elevation values. National Atlas of the United States. (2005). Grayscale Puerto Rico and the U.S. Virgin Islands Shaded Relief, 200-Meter Resolution. National Atlas. Available at: http://purl.stanford.edu/nw837pg7040 This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
Subjects
- Elevation
- United States
- Puerto Rico
- United States Virgin Islands
- Altitudes
- Digital elevation models
- Topographic maps
- Geoscientific Information
- Imagery and Base Maps
- Datasets
Geospatial coordinates
- Bounding Box: BBOX (-68.4237961, -63.5622766, 20.4748353, 15.94232)
- Geometry: BBOX (-68.4237961, -63.5622766, 20.4748353, 15.94232)
Provider
Stanford
Rights
- Access rights: Public
Citation
EROS Data Center. Grayscale Puerto Rico and the U.S. Virgin Islands Shaded Relief, 200-Meter Resolution. National Atlas of the United States. Raster data. https://purl.stanford.edu/nw837pg7040
Format
GeoTIFF
Languages
- English