The density of point clouds (usually expressed as points per square meter) is increasing on what seems to be a monthly basis. This is particularly true of point clouds derived from Dense Image Matching (DIM), the clouds produced from software such as PhotoScan, Pix4D, DroneDeploy and so forth. You can quickly check the density of…
Classify by Features is a useful way of assigning classifications to points using a spatial relationship to other features. Any vector layer that exists in the Map can be used to classify points that are either within a specified distance of polygon, linear, or point features or any points completely within a polygon feature. 1.…
Challenge Use LIDAR data to identify building heights over 32 ft (3 stories) for the City of Franklin Fire Department to maintain a building database with elevation information. Solution The Franklin Fire Department asked if our GIS department could identify all of the buildings within the city limits that were over 32ft or 3 stories…
The LP360 Rail Extraction tools for LIDAR data automatically extract a rail alignment (centerline) vector as well as classify “top of rail”. This feature is implemented as a semi-automated Point Cloud Task (PCT) and is available in the Advanced version of both LP360 for ArcGIS® and LP360 for Windows® (the standalone version of LP360). We recommend…
So you have received LIDAR data and you really need to classify all those buildings in a timely fashion. The LP360 Planar Point Filter is an automatic process for classifying planar surfaces such as buildings. Located in the Point Cloud Task tab of the Table of Contents window of LP360, you can quickly set up…
The classification of a LIDAR data point consists of both a classification and a classification flag. The classification flag allows for a point to be simultaneously flagged for particular uses while maintaining the classification of the point. For example, a model key-point can be flagged as such while maintaining the ground classification. Classification flags are…
The Classification Point Filter is used often throughout LP360 as part of the set-up routine for many different tasks. For example, many of the Point Cloud Tasks (PCT) require you to use this filter to select the classification source points that are either included or excluded when setting up and executing a PCT task. Classification…
Do you ever get irritated that you have to enter your symbology information/settings into each view window? The Copy Legends dialog (Figure 1) is the answer you are looking for. The LP360 Copy Legends dialog allows you to quickly copy the LIDAR display and symbology settings such as elevation, classification, point source, and return combinations…
I often find myself running point statistics in LP360 (either LP360 for ArcGIS or the standalone LP360) using the stamp Point Cloud Task tools. This allows me to take multiple samples across the project for point density testing or classification counts. I realized that it is not obvious that you can append to a shape…
LIDAR datasets are large and require extensive quality control and quality assurance procedures to ensure desired accuracies and product results. Statistics play an important role in evaluating LIDAR data in an efficient manner during such this QA/QC process. Statistics can be calculated for the LIDAR project dataset as a whole, for each file in the…
