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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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Layered geospatial PDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features. This map is derived from GIS (geospatial information system) data. It represents a repackaging of GIS data in traditional map form, not creation of new information. The geospatial data in this map are from selected National Map data holdings and other government sources.
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The vegetation units on this map were determined through a series of image processing steps including unsupervised classification, ecological modeling and stereoscopic interpretation of aerial photographs supported by field sampling and ecological analysis. The vegetation boundaries were identified on the photographs by means of the photographic signature and collateral information on slope, hydrology, geography, and vegetation in accordance with the Standardized National Vegetation Classification System (October 1995). The mapped vegetation reflects conditions that existed during the specific year and season that the aerial photographs were taken. There is a margin of error inherent in the use of aerial photographs....
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This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.
Categories: Data; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Carson National Forest, Colfax County, Colorado, Colorado Plateau, Dona Ana County, All tags...
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...
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The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
Tags: Administrative watershed units, Administrative watershed units, Area of Complex Channels, Area to be submerged, Basin, All tags...


map background search result map search result map Colorado National Monument Vegetation Mapping Project - Spatial Vegetation Data HA1009 Metrobates trux antenna HA1009 Metrobates trux dorsal2 Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains USGS Combined Vector for Hightower Mountain, Colorado 20160903 7.5 x 7.5 minute Shapefile USGS Combined Vector for Starvation Point, Colorado 20160902 7.5 x 7.5 minute Shapefile USGS Combined Vector for Whitewater, Colorado 20160903 7.5 x 7.5 minute Shapefile USGS Combined Vector for Porter Mountain, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Spruce Mountain, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Uncompahgre Butte, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14010005 (published 20201206) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14030004 (published 20201207) USGS US Topo 7.5-minute map for Glade Park, CO 2019 USGS US Topo 7.5-minute map for Keith Creek, CO 2019 USGS US Topo 7.5-minute map for Triangle Mesa, CO 2019 USGS US Topo 7.5-minute map for Two V Basin, CO 2019 USGS US Topo 7.5-minute map for De Beque, CO 2019 USGS US Topo 7.5-minute map for Housetop Mountain, CO 2019 USGS US Topo 7.5-minute map for Quaker Mesa, CO 2019 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14030003 (published 20201206) USGS Combined Vector for Hightower Mountain, Colorado 20160903 7.5 x 7.5 minute Shapefile USGS Combined Vector for Starvation Point, Colorado 20160902 7.5 x 7.5 minute Shapefile USGS Combined Vector for Whitewater, Colorado 20160903 7.5 x 7.5 minute Shapefile USGS Combined Vector for Porter Mountain, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Spruce Mountain, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Uncompahgre Butte, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Glade Park, CO 2019 USGS US Topo 7.5-minute map for Keith Creek, CO 2019 USGS US Topo 7.5-minute map for Triangle Mesa, CO 2019 USGS US Topo 7.5-minute map for Two V Basin, CO 2019 USGS US Topo 7.5-minute map for De Beque, CO 2019 USGS US Topo 7.5-minute map for Housetop Mountain, CO 2019 USGS US Topo 7.5-minute map for Quaker Mesa, CO 2019 Colorado National Monument Vegetation Mapping Project - Spatial Vegetation Data USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14030004 (published 20201207) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14030003 (published 20201206) USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 8 - 14010005 (published 20201206) Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains