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Full life-cycle vulnerability assessments are identifying the effects of climate change on nongame migratory birds that are of conservation concern and breed in the upper Midwest and Great Lakes region. Full life-cycle analyses are critical, as current efforts likely underestimate the vulnerability of migratory land birds due to a focus on assessing only one component of the annual cycle. The approach provides a framework for integrating exposure to climate changes, sensitivity to these changes, and the potential for adaptation in both winter and summer seasons, and accounts for carry-over effects from one season to another. The results of this work will inform regional management by highlighting both local and...
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Within the time frame of the longevity of tree species, climate change will change faster than the ability of natural tree migration. Migration lags may result in reduced productivity and reduced diversity in forests under current management and climate change. We evaluated the efficacy of planting climate-suitable tree species (CSP), those tree species with current or historic distributions immediately south of a focal landscape, to maintain or increase aboveground biomass, productivity, and species and functional diversity. We modeled forest change with the LANDIS-II forest simulation model for 100 years (2000–2100) at a 2-ha cell resolution and five-year time steps within two landscapes in the Great Lakes region...
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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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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.
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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 Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
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The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
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The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
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The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
The Central Platte River Image Library is an extensive dataset of historic 1860's surveys by the Government Land Office and aerial photographs from 1938-2012. All datasets are either public domain property of the U.S. Government or published by the Rainwater Basin Joint Venture (RWBJV) with permission from the respective owner (specifically the Platte River Recovery Implementation Program or Central Platte Natural Resources District). The Central Platte River region of Nebraska extends from approximately Jeffery Reservoir (Western Extent) to Columbus (Eastern Extent). The library was completed May 2014 - Sept 2016 by the Rainwater Basin Joint Venture.
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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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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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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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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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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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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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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.


map background search result map search result map Central Platte River Image Library - 1988 Central Platte River Image Library - 2007 Summer Central Platte River Image Library - 2007 Summer FSA Central Platte River Image Library - 2004 Summer FSA 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 USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000061 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000080 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000093 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000109 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000129 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000163 2014-08-27 LAS USGS Lidar Point Cloud (LPC) TX_McCullochCo_2006_000060 2014-09-15 LAS 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 US Topo 7.5-minute map for Kamalo, HI 2017 USGS US Topo 7.5-minute map for Ilio Point OE N, HI 2017 Publication: A blind spot in climate change Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000163 2014-08-27 LAS USGS Lidar Point Cloud (LPC) AK_Fairbanks-NSBorough_2010_000178 2014-09-22 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000061 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000080 2014-08-27 LAS USGS Lidar Point Cloud (LPC) TX_McCullochCo_2006_000060 2014-09-15 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000093 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000129 2014-08-27 LAS USGS Lidar Point Cloud (LPC) CA_SantaClaraCo-A_2006_000109 2014-08-27 LAS USGS US Topo 7.5-minute map for San German, PR 2017 USGS US Topo 7.5-minute map for Kamalo, HI 2017 USGS US Topo 7.5-minute map for Ilio Point OE N, HI 2017 Sandhill crane roosts use, channel characteristics, and environmental variables along the Platte River, Nebraska, 2003-2007 Central Platte River Image Library - 1988 USGS NED 1/3 arc-second Contours for Wood Mountain E, Saskatchewan 20160314 1 x 1 degree FileGDB 10.1 Central Platte River Image Library - 2007 Summer Central Platte River Image Library - 2007 Summer FSA Central Platte River Image Library - 2004 Summer FSA Publication: Measuring and managing resistance and resilience under climate change in northern Great Lake forests Publication: A blind spot in climate change