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This data set is a 20ft resolution raster representing the percentage of LiDAR points which fall 3 to 7 meters above ground layer for the eastern 60 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=n base_raster=Count_5ft_DEM z_range=9.84252,22.9659...
This data set is a 20ft resolution raster representing the percentage of LiDAR points which fall 1 to 3 meters above ground layer for the eastern 60 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=n base_raster=Count_5ft_DEM z_range=9.84252,22.9659...
This data set is a 20ft resolution raster representing the percentage of LiDAR points which fall 1 to 3 feet above ground layer for the eastern 60 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=n base_raster=Count_5ft_DEM z_range=1,3...
This data set is a 20ft resolution canopy height layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_range=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18 , see...
This data set is a 20ft resolution canopy height layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_rnage=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18 , see...
This data set is a 20ft resolution binary forest nonforest layer for the eastern 59 counties of North Carolina. This data was derived from the 2014 and 2015 QL2 LiDAR datasets collected by USGS and the North Carolina Department of Public Safety. This data was processed using Laszip software to compress the LAS data to LASZIP format, GDAL gdalbuildvirt was used to create county mosaics of 5ft resolution. For each county, the LAZ files were aggregated and processed using GRASS GIS version 7.2 svn 11/21/2016 , using r.in.lidar with the following options: r.in.lidar --o -d file=laslist.txt output=Countyname_20ft_ch method=max base_raster=Count_5ft_DEM z_rnage=0,250 class_filter=1,2,3,4,5,6,8,9,10,11,12,13,14,15,16,17,18...
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