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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are, increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPFD 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Adams, Allen, Antarctica, Antarctica, Ashland, 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: Adair, Administrative watershed units, Administrative watershed units, Alfalfa, Area of Complex Channels, All tags...
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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 CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island 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 FSA 10:1 NAIP Imagery m_3908104_se_17_1_20150814_20151023 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3609740_nw_14_1_20150623_20150817 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3609740_sw_14_1_20150623_20150817 3.75 x 3.75 minute JPEG2000 from The National Map USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 05120106 (published 20231217) Shapefile USGS National Transportation Dataset (NTD) for Ohio (published 20240216) Shapefile USGS US Topo 7.5-minute map for Albion, IN 2013 USGS US Topo 7.5-minute map for Corunna, IN 2013 USGS US Topo 7.5-minute map for Ege, IN 2016 USGS US Topo 7.5-minute map for Ligonier, IN 2016 USGS US Topo 7.5-minute map for Billings, OK 2016 USGS US Topo 7.5-minute map for Black Bear, OK 2009 USGS US Topo 7.5-minute map for Lela, OK 2012 USGS US Topo 7.5-minute map for Ponca City SE, OK 2016 USGS US Topo 7.5-minute map for Barnesville, OH 2010 USGS US Topo 7.5-minute map for Caldwell North, OH 2010 USGS US Topo 7.5-minute map for Caldwell South, OH 2013 USGS US Topo 7.5-minute map for Reinersville, OH 2010 USGS National Hydrography Dataset Best Resolution (NHD) - Oklahoma (published 20231227) GeoPackage USGS NED 1/3 arc-second Contours for Fort Wayne W, Indiana 1 x 1 degree (published 20240112) GeoPackage Geographic Names Information System (GNIS) Domestic Names for OH (published 20240201) pipes FSA 10:1 NAIP Imagery m_3908104_se_17_1_20150814_20151023 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3609740_nw_14_1_20150623_20150817 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3609740_sw_14_1_20150623_20150817 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for Albion, IN 2013 USGS US Topo 7.5-minute map for Corunna, IN 2013 USGS US Topo 7.5-minute map for Ege, IN 2016 USGS US Topo 7.5-minute map for Ligonier, IN 2016 USGS US Topo 7.5-minute map for Billings, OK 2016 USGS US Topo 7.5-minute map for Black Bear, OK 2009 USGS US Topo 7.5-minute map for Lela, OK 2012 USGS US Topo 7.5-minute map for Ponca City SE, OK 2016 USGS US Topo 7.5-minute map for Barnesville, OH 2010 USGS US Topo 7.5-minute map for Caldwell North, OH 2010 USGS US Topo 7.5-minute map for Caldwell South, OH 2013 USGS US Topo 7.5-minute map for Reinersville, OH 2010 USGS NED 1/3 arc-second Contours for Fort Wayne W, Indiana 1 x 1 degree (published 20240112) GeoPackage USGS National Hydrography Dataset Best Resolution (NHD) for Hydrological Unit (HU) 8 - 05120106 (published 20231217) Shapefile USGS National Transportation Dataset (NTD) for Ohio (published 20240216) Shapefile Geographic Names Information System (GNIS) Domestic Names for OH (published 20240201) pipes USGS National Hydrography Dataset Best Resolution (NHD) - Oklahoma (published 20231227) GeoPackage