LP360 Cloud Ground Classification is a processing module on LP360 Cloud. It allows users to automatically classify the ground for data on the cloud. It can be used with any point cloud, however it has been designed for easy use with the TrueView 3DIS sensors. A user must be assigned an LP360 Cloud Starter license…
1. Introduction LP360 Cloud Ground Classification is a module available in LP360 Cloud, starting in 2024, and can be used to automatically classify the ground for data on the cloud. In this article we’ll explain step by step how to use the LP360 Cloud Ground Classification module. Refer to the LP360 Cloud Ground Classification –…
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…
