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This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
This dataset represents the extent of urbanization (for the year indicated) predicted by the model SLEUTH, developed by Dr. Keith C. Clarke, at the University of California, Santa Barbara, Department of Geography and modified by David I. Donato of the United States Geological Survey (USGS) Eastern Geographic Science Center (EGSC). Further model modification and implementation was performed at the Biodiversity and Spatial Information Center at North Carolina State University.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Academics & scientific researchers,
Alabama,
Arkansas,
Conservation NGOs,
Data,
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 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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