Point cloud filtering involves the removal or manipulation of points within a point cloud dataset to enhance the quality of the data or to extract specific features of interest. Filtering can be performed for various purposes, such as noise reduction, outlier removal, and the extraction of ground surfaces. The separation of ground points from non-ground points for example is crucial for tasks like terrain modeling. The filtered point cloud can then be exported as rasters for further analysis. This video demonstrates how to filter point clouds to generate DTM and DSM rasters.