Terrasolid Product Installation & Setup Guide

This guide provides information on how to install, register and configure your Terrasolid products and licenses. Contents Introduction. 1 Invoice. 1 About Terrasolid OY.. 1 About GeoCue Group. 1 Downloading the Installation Packages. 2 Bentley Based Packages. 2 Microsoft Windows Based Packages. 4 Spatix Based Packages. 5 Installing the Products. 6 Terra License – Server/Service/Manager…

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3D City Building Vectorization Model of Copenhagen from Open National Data

Results from automated 3D City building vectorization using Terrasolid tools. Data source: – Agency for Data Supply and Efficiency – https://download.kortforsyningen.dk/ Dataset: – “Danmarks Højdemodel, DHM/Punktsky – Published 2016-04-07 – City of Copenhagen – “Skraafoto” (oblique and nadir images)- Published 2019. Data downloaded in October 2019. Classified data has been vectorized using TerraScan without editing…

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Point Cloud as 3D City Model

Colorized and georeferenced point cloud, with or without already collected vector data, provides a sound platform for several municipal applications. This 3D City Model example is from the wooden city centre of the town of Rauma, Finland which is listed as a UNESCO World Heritage Site. TerraStereo is a stand-along application for visualizing very large…

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Register for an evaluation license for Terrasolid software

GeoCue Group is the North American reseller for the Terrasolid software, covering the US, Canada and Mexico. If you would like to try out the Terrasolid software before you buy it, register for an evaluation license by following these steps: Download the latest versions of the desired Terrasolid software modules at https://www.terrasolid.com/ssl/download_software.php. Please note the…

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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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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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