= Post Processing LiDAR Point Clouds=

The usual form of delivery of the processed LiDAR data is in the form of a point cloud. This takes one of two forms; [link ASCII text files] or [http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html binary LAS] files. As part of the standard processing and quality checking of the LiDAR point clouds, ARSF-DAN classify 'noisy' points. This is done both by using automatic algorithms and by viewing the data. The noisy points can be one of the following:

 * isolated points
 * isolated clusters of points 
 * water induced noise
 * cloud noise
 * system noise

It is advised that these points be removed before using the data, unless they are of specific use to your studies.

== Removing Noise Points ==

When a point has been identified as being 'noise' it is given a classification value of '7'.