Find Poles using TerraScan

The “Find Poles” tool was introduced to the Railroad Tool Box with the release of TerraScan v017.018. While originally intended to automatically detect pole type objects along roads and railroads, which were collected using mobile or high-density airborne LIDAR data, this tool is designed in a manner where it can be used to detect a…

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TerraScan: Tree Database Tools

Introduction Commonly, municipalities are responsible for the management of trees in public spaces, such as parks, the landscape of city buildings, along streets, and in road medians. These trees need to be located, identified, measured and monitored over time. With this information, the city can evaluate and sustain the health and safety of their trees…

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Terrasolid Product Installation & Setup Guide

This guide provides information on how to install, register and configure your Terrasolid products and licenses. Installing TerraSolid Products Guide v018   Contents Introduction…………………………………………………………………………………………………………… 1 Invoice……………………………………………………………………………………………………………….. 1 About Terrasolid OY…………………………………………………………………………………………………….. 1 About GeoCue Group……………………………………………………………………………………………………… 1 Downloading the Installation Packages…………………………………………………………………………………….. 2 Bentley MicroStation Based Packages……………………………………………………………………………… 2 Microsoft Windows Based Packages……………………………………………………………………………….. 4 Installing the Products………………………………………………………………………………………………….. 5 Registering…

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TerraScan: Range Classification with Terrestrial Scanner Data

Recently, a customer had a question about using the ‘Classify by Range’ (TerraScan -> Classify -> Routines -> Classify by Range) classification routine with terrestrial scanner (tripod-mounted static scanner) data.  This tool classifies points based upon each point’s respective range from the scanner’s position at the moment of collection.  This tool was designed to improve…

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Smoothen Points – XYZ Option

Smoothen points is a command that smoothes the attributes of points relative to adjacent points. Until recently, the modifiable point attributes were elevation, intensity, or color. The elevation option could be used to iteratively adjust elevation values of points using plane-of-best-fit equations to result in a smoother surface. The intensity option could be used to…

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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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Group Classification Tools Enable New Analysis Methods in TerraScan

Beginning in 2017, additional grouping tools were introduced to enable new methods of conducting above ground classifications, beyond the usual classification routines.  These tools rely on group logic – grouping above ground points with probable relationships with the goal of designating a single group of points per physical object. In short, the usual classification routines…

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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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Tie Line Statistics in TerraMatch

Terrasolid products provide statistical information about the fit of LIDAR and imagery data. This article is the second in a series that provides meaning to this type of information. We will conduct a brief review of the relevant statistics and discuss how these principles are applied to the use of tie lines for laser calibration.…

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Control Point Statistics in TerraScan

Terrasolid software offers a variety of ways to gauge the accuracy of LIDAR and imagery data.  From using control points to determine the vertical accuracy of a ground surface, tie lines to measure and correct the mismatch between overlapping flight lines, and tie points to correct aerial imagery positions, each of these tools provide the…

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