on 08-21-201705:12 AM - last edited on 08-29-201701:02 PM by ian.anderson
This makes it easier to create flooding, building height, and forest canopy models based on point cloud data.
Take a regular point cloud, with heights measured as height above mean sea level, and subtract a second surface representing the ground surface. The result would represent height above ground level (e.g. heights of trees, buildings, etc).
This would enable building Spatial Models to, for example,
Acquire point cloud
Classify point cloud to identify tall vegetation (i.e. trees) and ground (bare earth) points
Interpolate ground points to continuous raster ground surface
Subtract ground surface from all points
Use Zonal operators to attribute forest stand polygons with average tree height per polygon
Manager determines which stands are ready for harvest