Cleaning, Filtering & Exporting Point Clouds in N4ce

Learn how to efficiently clean, filter, and export point cloud data in N4ce. This episode walks through manual and automated workflows for noise removal using grouping, SOR, intensity, and range based filters, plus best practices for exporting clean datasets. Ideal for surveyors, CAD technicians, and geospatial professionals working with terrestrial or mobile LiDAR data. In this episode: • Grouping & manual noise removal • Using clipping boxes and section views • Applying SOR and De densify filters • Cleaning by intensity and range • Managing structured and unstructured scans • Exporting point clouds (LAS/LAZ) with correct georeferencing #N4ce #PointCloud #Surveying #LiDAR #Geospatial #3DScanning #DataProcessing