Does LIDAR Analyst use only its raster output images and not the original points stored in the LAS file for the information extraction (bare earth, buildings, trees)?
That is correct. LIDAR Analyst uses changes in slope in the raster layers in order to detect buildings, forests, and trees. It is essential to create a good bare earth raster in order to get good results, so the user should always generate first and last returns from the LAS file and judge their quality, and then do the same for the bare earth layer. If the goal of the user is to classify the point cloud, then he or she can step through the LIDAR Analyst workflow, generating all the outputs (bare-earth, buildings, trees and forests) and use them to classify all of the points in the LAS file. Q: Regarding the size/resolution of LIDAR images, how many pixels per building are necessary for a good extraction? In other words, if the smallest building to extract is 9×9 meters, what should be the density of the point cloud and the resolution of the input First/Last return in LIDAR Analyst? A: Point spacing should be less than 1.5 meters, regardless of the building size. Larger buildings can b
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