Classify Surface Points Routine

Photogrammetric point clouds are notoriously noisy, very dense, and generally lack points located underneath vegetation. Echo information is non-existent and surface roughness are not as useful for ground classification with these point clouds. Point clouds from low quality LIDAR sensors exhibit some similar characteristics. Hence, a different approach is needed In general, it is a…

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Classification in LP360 Using Shapefiles

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.…

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Classifying by Groups in TerraScan

Beginning in 2014, some grouping tools were introduced to TerraScan.  Those tools applied to mobile LIDAR applications as they were aimed at classifying moving cars and trees. In late 2016, additional grouping tools were introduced to enable a new method of conducting above ground classifications in airborne LIDAR datasets beyond the standard classification routines.  Prior…

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Case Study – Identifying Building Heights over 32 ft for the City of Franklin Fire Department

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…

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LP360 Rail Extraction Tools for LIDAR

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…

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Automatic Building Classification

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…

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Under the Hood: Classification Flags in LP360

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…

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Using Classification Flags in TerraScan

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…

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Classification Point Filter Shortcuts

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…

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Copy Symbology from one Window to Another

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…

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