Virginia Lidar

Virginia lidar is housed on this site. If you would like us to house your Virginia lidar please email the CGA

A complete map of current holdings

We have converted to laz files for lidar point cloud data and .img for bare earth elevation data. Laz files are lossless compressed las files.  They will work with LAStools and other lidar software without the need to be extracted first.  Laz offers very high rates of compression and direct read functionality.   LasTools will convert your files from laz to las if required.

Most of these data are available on Open Topography as well as at this location.

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2010 Eastern Shore VA Lidar

Counties: Northampton, Accomack

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/ESLiDAR/LiDAR_ClassifiedPointCloud/ to download your laz and associated files. 

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/ESLiDAR/DEM

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2010 / 2011 Eleven County Coastal VA Lidar

North: Northumberland, Middlesex, Lancaster, King & Queen, Gloucester, Mathews, James City (partial)
South: James City (partial), Williamsburg, Surry, Isle of Wight, Suffolk

Metadata

The current lidar point cloud holdings are indexed in PDF (North and South), Google Earth, and ArcGIS polygon shapefile format. After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/a11county/LAZ/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/a11county/DEM/

To download survey data, enhanced metadata in GIS format, and breaklines (inc., inland lakes, streams, tidal waters, ponds, and rivers) you can go to http://gisfiles.wm.edu/files/lidar/a11county/ 

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual DSM tiles in IMG Format.  The download URL for the DSM files is http://gisfiles.wm.edu/files/lidar/a11county/DSM

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual hillshade tiles in IMG Format.  The download URL for the hillshade files is http://gisfiles.wm.edu/files/lidar/a11county/HSD/

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2007 Newport News VA Lidar

City of Newport News

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/Newport_news/laz_files/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth tiles. The download URL for each tile is http://gisfiles.wm.edu/files/lidar/Newport_news/bare_earth_laz_files/

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2010 / 2011 Shenandoah Valley VA Lidar

100% Coverage: Waynesboro, Staunton, Harrisonburg, Winchester, Clarke
50%-100% Coverage: Berkeley (WV), Warren, Frederick, Rockingham, Augusta
25%-50% Coverage: Shenandoah

Metadata

The current lidar point cloud holdings are indexed in PDF (North and South), Google Earth (North and South), and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/SV/laz/ (north) or http://gisfiles.wm.edu/files/lidar/SV/SVSouth_LAZ/ (south) to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to also download individual bare earth DEM tiles in IMG format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/SV/dem/

To download survey data, enhanced metadata in GIS format and word format, breaklines (inc., inland lakes, streams, tidal waters, ponds, and rivers), and other information such as QA reports and extents you can go to http://gisfiles.wm.edu/files/lidar/SV/Metadata/

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2011 Virginia Counties North Lidar

Cities: Fredericksburg, Manassas, Manassas Park
Counties: Essex, King George, Prince William, Richmond, Stafford, Westmoreland, Manassas

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/VA_Counties_North/NorthernCo_Tiles/ to download your laz and associated files. 

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/VA_Counties_North/NorthernCo_DEM/ 

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2011 Virginia Counties South Lidar

City: Franklin City
County: Southampton 

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/VA_Counties_South/SouthernCo_Tiles/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/VA_Counties_South/SouthernCo_DEM/ 

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2011 Virginia Southern Cities Lidar

Cities: Hampton, Portsmouth

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/SouthernCities/SouthernCities_Tiles/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/SouthernCities/SouthernCities_DEM/ 

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2011 Radford & Blacksburg VA Lidar

Cities: Radford, Blacksburg

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/Radford_Blacksburg/Radford_Tiles/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  DEMs are not yet available for the Blacksburg area. The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/Radford_Blacksburg/Radford_DEM/

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2011 King William County VA Lidar

        County: King William

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format.  After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/KingWilliamCo/KingWilliam_Tiles/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/KingWilliamCo/KingWilliam_DEM/

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2012 Loudoun County VA Lidar

       County: Loudoun

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format. After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/Loudoun/Classified_LAZ/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/Loudoun/DEMs/

To download enhanced metadata in GIS format and breaklines (inc., inland lakes, streams, tidal waters, ponds, and rivers) you can go to http://gisfiles.wm.edu/files/lidar/Loudoun/Breaklines/

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual intensity images in tif Format.  The download URL for the intensity images is http://gisfiles.wm.edu/files/lidar/Loudoun/Intensity_Images/

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2012 Middle Counties VA Lidar

       Counties: New Kent, Charles City, Prince George

Metadata

The current lidar point cloud holdings are indexed in PDF, Google Earth, and ArcGIS polygon shapefile format. After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/Middle_Counties/Classified_LAZ/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/Middle_County/DEMs/

To download enhanced metadata in GIS format and breaklines (inc., inland lakes, streams, tidal waters, ponds, and rivers) you can go to http://gisfiles.wm.edu/files/lidar/Middle_Counties/Breaklines

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual intensity images in tif Format.  The download URL for the intensity images is http://gisfiles.wm.edu/files/lidar/Middle_Counties/Intensity_Images/

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2012 Louisa County VA Lidar  -- We realize that some of the Louisa data is in error, we are attempting to obtain another copy of the data--

50% Coverage: Louisa
10% Coverage: Fluvanna, Goochland

Metadata

The current lidar point cloud holdings are indexed in PDFGoogle Earth, and ArcGIS polygon shapefile format. After selecting your tiles please visit http://gisfiles.wm.edu/files/lidar/va_louisaco_2012/laz/ to download your laz and associated files.

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual bare earth DEM tiles in IMG Format.  The download URL for the DEM files is http://gisfiles.wm.edu/files/lidar/va_louisaco_2012/NED/

You can use the PDF, Google Earth, or ArcGIS shapefile methods described above to download individual intensity images in tif Format.  The download URL for the intensity images is http://gisfiles.wm.edu/files/lidar/va_louisaco_2012/INTENSITY_IMAGERY/

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Lidar Tools

Lidar can be manipulated with many tools and extensions.  We recommend LAStools for data processing.

Future data will be added as it arrives.