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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....
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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....
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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....
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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....
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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....
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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....
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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....
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The ACS is a national, publicly available survey provided by the U.S. Census Bureau that collects information about population, education, housing, economic status, and more. Planners, public officials, entrepreneurs, and researchers rely on the data collected through this survey to help understand community conditions and to support community planning efforts.
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Systematic conservation planning is well suited to address the many large-scale biodiversity conservation challenges facing the Appalachian region. However, broad, well-connected landscapes will be required to sustain many of the natural resources important to this area into the future. If these landscapes are to be resilient to impending change, it will likely require an orchestrated and collaborative effort reaching across jurisdictional and political boundaries. The first step in realizing this vision is prioritizing discrete places and actions that hold the greatest promise for the protection of biodiversity. Five conservation design elements covering many critical ecological processes and patterns across the...
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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....
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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....
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The central Platte River Valley represents a key mid-latitude stopover This dataset supports a contemporary analysis of nocturnal roost selection for sandhill cranes staging along the Platte River during 2003-2007. We explored variation in selection for previously established characteristics of roost sites, including river channel width, vegetation height along the river bank, and distance to nearest disturbance feature. This analysis also included novel environmental factors (yearly estimates of corn near roost sites, nightly temperature, wind speed, and river discharge) and how they may interact with the more established characteristics.
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas 50°). We provide these data here at 30 m resolution, grouped by Landscape Conservation...
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The Rainwater Basin (RWB) wetland complex in south-central Nebraska provides crucial stopover habitat for over 7 million waterfowl and 500,000 shorebirds every spring. However, only 10% of the original RWB wetlands remain, resulting in less available habitat for wetland-dependent birds. Conservation efforts are being employed to alleviate the loss of RWB wetlands. To aid conservation efforts, we created a vegetation map of all historical RWB wetlands based on 2004 imagery. The shapefile maps the 2004 vegetation communities for all historic wetlands in the Rainwater Basin region of Nebraska, USA. Vegetation communities include cropped areas that rarely pond water, cropped areas that often pond water, bare soil...
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Lidar (Light detection and ranging) discrete-return point cloud data are available in the American Society for Photogrammetry and Remote Sensing (ASPRS) LAS format. The LAS format is a standardized binary format for storing 3-dimensional point cloud data and point attributes along with header information and variable length records specific to the data. Millions of data points are stored as a 3-dimensional data cloud as a series of x (longitude), y (latitude) and z (elevation) points. A few older projects in this collection are in ASCII format. Please refer to http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for additional information.
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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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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.


map background search result map search result map Ecologically-relevant landforms for Plains and Prairie Potholes LCC Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs American Community Survey (ACS) : Population Density per Square Mile (2013) RWB 2004 Wetland Vegetation USGS NED 1/3 arc-second Contours for Wood Mountain E, Saskatchewan 20160314 1 x 1 degree FileGDB 10.1 USGS Lidar Point Cloud (LPC) AK_Fairbanks-NSBorough_2010_000178 2014-09-22 LAS FSA 10:1 NAIP Imagery m_4510916_se_12_1_20150810_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610961_nw_12_1_20150704_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711440_sw_11_1_20150726_20150923 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4609449_nw_15_1_20150810_20151201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4208346_sw_17_1_20140628_20141021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4308510_nw_16_1_20140719_20141021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3208747_sw_16_1_20150719_20151123 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508305_se_17_1_20140504_20140710 3.75 x 3.75 minute JPEG2000 from The National Map Sandhill crane roosts use, channel characteristics, and environmental variables along the Platte River, Nebraska, 2003-2007 USGS US Topo 7.5-minute map for San German, PR 2017 USGS Combined Vector for Electric Mountain, Colorado 20160904 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Kamalo, HI 2017 USGS Topo Map Vector Data (Vector) 335841 Mount Fairweather D-6 NW, Alaska 20180227 for 7.5 x 7.5 minute Shapefile FSA 10:1 NAIP Imagery m_4209759_nw_14_h_20160814_20161019 3.75 x 3.75 minute JPEG2000 from The National Map USGS Lidar Point Cloud (LPC) AK_Fairbanks-NSBorough_2010_000178 2014-09-22 LAS FSA 10:1 NAIP Imagery m_4510916_se_12_1_20150810_20151102 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4610961_nw_12_1_20150704_20160104 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3711440_sw_11_1_20150726_20150923 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4609449_nw_15_1_20150810_20151201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4208346_sw_17_1_20140628_20141021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4308510_nw_16_1_20140719_20141021 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3208747_sw_16_1_20150719_20151123 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508305_se_17_1_20140504_20140710 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4209759_nw_14_h_20160814_20161019 3.75 x 3.75 minute JPEG2000 from The National Map USGS US Topo 7.5-minute map for San German, PR 2017 USGS Combined Vector for Electric Mountain, Colorado 20160904 7.5 x 7.5 minute FileGDB 10.1 USGS US Topo 7.5-minute map for Kamalo, HI 2017 USGS Topo Map Vector Data (Vector) 335841 Mount Fairweather D-6 NW, Alaska 20180227 for 7.5 x 7.5 minute Shapefile Sandhill crane roosts use, channel characteristics, and environmental variables along the Platte River, Nebraska, 2003-2007 USGS NED 1/3 arc-second Contours for Wood Mountain E, Saskatchewan 20160314 1 x 1 degree FileGDB 10.1 RWB 2004 Wetland Vegetation American Community Survey (ACS) : Population Density per Square Mile (2013) Appalachian LCC Landscape Conservation Design Phase 1 Local Build-outs Ecologically-relevant landforms for Plains and Prairie Potholes LCC