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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 Land Cover Database 2011 Percent Developed Imperviousness layer for Alaska was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture - Forest Service (USDA-FS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate...
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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 geographic names, hydrography, and other selected map features. The map layer was produced from the Medium-Resolution National Hydrography Dataset feature classes, through feature selection and cartographic generalization, based on reference to published small-scale ancillary data sets.
Types: Citation; Tags: Flow direction network, boundaries, US-AK-Kodiak Island, Sitka City City, Petersburg Borough Borough, All tags...
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Layers of geospatial data include geographic names, hydrography, and other selected map features. The map layer was produced from the Medium-Resolution National Hydrography Dataset feature classes, through feature selection and cartographic generalization, based on reference to published small-scale ancillary data sets.
Types: Citation; Tags: US-NE-Nemaha, Shelby County, Shelby County, Shelby County, Flow direction network, All tags...
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The National Land Cover Database 2001 tree canopy layer for mapping zone ak08 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of federal agencies (www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (EPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (FWS), the Bureau of Land Management (BLM) and the USDA Natural Resources Conservation Service (NRCS). One of the primary goals of the project is to generate...
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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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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
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These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
thumbnail
These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
thumbnail
These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.


map background search result map search result map USGS Land Cover - Woodland for Arkansas 20170812 State or Territory FileGDB 10.1 USGS National Hydrography Dataset (NHD) Medium Resolution for Alaska 20140804 State or Territory FileGDB 10.1 USGS National Hydrography Dataset (NHD) Medium Resolution for Missouri 20140804 State or Territory FileGDB 10.1 USGS Combined Vector for Ruby D-6 NW, Alaska 20160608 7.5 x 7.5 minute FileGDB 10.1 NLCD 2001 Percent Tree Canopy Alaska USGS Combined Vector for Barkman, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Loving, Oklahoma 20160519 7.5 x 7.5 minute Shapefile USGS Combined Vector for Redbank, Texas 20160524 7.5 x 7.5 minute Shapefile NLCD 2011 Percent Developed Imperviousness, Alaska, 3 x 3 Degree: NLCD2011_IMP_N57W147 USGS NED 1/3 arc-second Contours for Ambler River C, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Bettles W, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Candle C, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Candle W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Icy Bay E, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Hughes E, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Juneau W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Kenai W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Kuskokwim Bay E, Alaska 20180211 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Lake Clark E, Alaska 20180211 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Melozitna C, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS Combined Vector for Barkman, Texas 20160524 7.5 x 7.5 minute FileGDB 10.1 USGS Combined Vector for Loving, Oklahoma 20160519 7.5 x 7.5 minute Shapefile USGS Combined Vector for Redbank, Texas 20160524 7.5 x 7.5 minute Shapefile USGS Combined Vector for Ruby D-6 NW, Alaska 20160608 7.5 x 7.5 minute FileGDB 10.1 USGS NED 1/3 arc-second Contours for Ambler River C, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Bettles W, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Candle C, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Candle W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Icy Bay E, Alaska 20180210 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Hughes E, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Juneau W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Kenai W, Alaska 20180210 1 X 1 degree FileGDB 10.1 USGS NED 1/3 arc-second Contours for Kuskokwim Bay E, Alaska 20180211 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Lake Clark E, Alaska 20180211 1 X 1 degree Shapefile USGS NED 1/3 arc-second Contours for Melozitna C, Alaska 20180210 1 X 1 degree FileGDB 10.1 NLCD 2011 Percent Developed Imperviousness, Alaska, 3 x 3 Degree: NLCD2011_IMP_N57W147 NLCD 2001 Percent Tree Canopy Alaska USGS Land Cover - Woodland for Arkansas 20170812 State or Territory FileGDB 10.1 USGS National Hydrography Dataset (NHD) Medium Resolution for Missouri 20140804 State or Territory FileGDB 10.1 USGS National Hydrography Dataset (NHD) Medium Resolution for Alaska 20140804 State or Territory FileGDB 10.1