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This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
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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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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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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
thumbnail
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
thumbnail
This dataset includes the magnetotelluric (MT) sounding data collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land management...
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The High Resolution National Hydrography Dataset Plus (NHDPlus HR) is an integrated set of geospatial data layers, including the best available National Hydrography Dataset (NHD), the 10-meter 3D Elevation Program Digital Elevation Model (3DEP DEM), and the National Watershed Boundary Dataset (WBD). The NHDPlus HR combines the NHD, 3DEP DEMs, and WBD to create a stream network with linear referencing, feature naming, "value added attributes" (VAAs), elevation-derived catchments, and other features for hydrologic data analysis. The stream network with linear referencing is a system of data relationships applied to hydrographic systems so that one stream reach "flows" into another and "events" can be tied to and traced...
Tags: Alamosa County, Baca County, Bent County, CO, Chaffee County, 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: AZ, Adams County, Administrative watershed units, Administrative watershed units, Alamosa County, All tags...
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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 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, Alamosa County, Area of Complex Channels, Area to be submerged, All tags...


map background search result map search result map Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 2 Magnetotelluric data, Southern San Luis Valley, Colorado, 2006: Station 7 USGS Topo Map Vector Data (Vector) 25025 Lasauses, Colorado 20191212 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Little Sheep Mountain, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McCarty Park, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Russell, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Twin Peaks, Colorado 20160904 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Blanca Peak, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Red Wing, Colorado 20160905 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for San Acacio, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for San Acacio, Colorado 20160905 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Trinchera Peak, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 1102 (published 20200301) NHD 20191017 for Colorado State or Territory FileGDB 10.1 Model Version 2.2.1 USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1102 (published 20180813) USGS US Topo 7.5-minute map for Blanca Peak, CO 2019 USGS US Topo 7.5-minute map for Blanca SE, CO 2019 USGS US Topo 7.5-minute map for Mosca Pass, CO 2019 USGS US Topo 7.5-minute map for Sky Valley Ranch, CO 2019 USGS US Topo 7.5-minute map for Big Costilla Peak, NM,CO 2020 USGS Topo Map Vector Data (Vector) 25025 Lasauses, Colorado 20191212 for 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Little Sheep Mountain, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for McCarty Park, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Russell, Colorado 20160903 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Twin Peaks, Colorado 20160904 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Blanca Peak, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for Red Wing, Colorado 20160905 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for San Acacio, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS Combined Vector for San Acacio, Colorado 20160905 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Trinchera Peak, Colorado 20160905 7.5 x 7.5 minute Shapefile USGS US Topo 7.5-minute map for Blanca Peak, CO 2019 USGS US Topo 7.5-minute map for Blanca SE, CO 2019 USGS US Topo 7.5-minute map for Mosca Pass, CO 2019 USGS US Topo 7.5-minute map for Sky Valley Ranch, CO 2019 USGS US Topo 7.5-minute map for Big Costilla Peak, NM,CO 2020 USGS National Hydrography Dataset Best Resolution (NHD) for Hydrologic Unit (HU) 4 - 1102 (published 20200301) USGS National Hydrography Dataset Plus High Resolution (NHDPlus HR) for 4-digit Hydrologic Unit - 1102 (published 20180813) NHD 20191017 for Colorado State or Territory FileGDB 10.1 Model Version 2.2.1