Tool Name | Date | Tool Type | Rating | |
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1 | xyzRotatorDH | 30 Nov 2010 | Point Cloud Analysis | |
Keywords: rotation, translation, georeferencing, point cloud
License: GNU General Public License Description: A MATLAB script that takes an unreferenced 3-column xyz dataset (e.g., a TLS point cloud) and places it in a Cartesian global coordinate system (e.g., UTM) given at least one known global point (e.g. from a hand-held GPS unit). |
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2 | xyzRotatorDH_Linux | 30 Nov 2010 | Point Cloud Analysis | |
Keywords: rotation, translation, georeferencing, point cloud
License: GNU General Public License Description: A Linux (Korn) shell script that takes an unreferenced 3-column xyz dataset (e.g., a TLS point cloud) and places it in a Cartesian global coordinate system (e.g., UTM) given at least one known global point (e.g. from a hand-held GPS unit). |
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3 | SPD Software Library (SPDLib) | 24 May 2012 | Software Suite | |
Keywords: SPD, SPDLib, LiDAR, TLS, ALS, Full, waveform, Discrete, return, points
License: GNU General Public License Description: SPDLib is a set of open source software tools for processing laser scanning data (i.e., LiDAR), including both discrete return and waveform data captured from airborne and terrestrial platforms. The aim of the software is provide you, the user, with the tools you need to process these data. The software has grown from research carried out at Aberystwyth University and Queensland University concerning the processing of LiDAR data for vegetation analysis and has continued to grow. One of the key features which differentiates this software from other LiDAR software is the ability to process and store full waveform datasets alongside traditional discrete return data |
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4 | ToPCAT = Topographic Analysis Toolkit | 4 Sep 2014 | Point Cloud Analysis | |
Keywords: TLS, SFM, point cloud statistics, point cloud decimation
License: GNU General Public License Description: Topographic Point Cloud Analysis Toolkit (ToPCAT) is a software package developed by Brasington et al. (2012) used to decimate (or thin) a point cloud and calculate meaningful statistics for grid defined areas. The process of decimation can reduce computation time and produce meaningful summary outputs (e.g. zMin for modeling bare earth elevations; and detrended standard deviation for modelling surface roughness). |
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5 | Lidar360 | 5 Jul 2018 | Visualization, Point Cloud Analysis, DEM generation, DEM Analysis, Data Management / Handling, Software Suite | |
Keywords: Point Cloud Processing, Terrain Classification, ALS Forestry, TLS Forestry, Lidar Power line Survey
License: Commercial License Description: Lidar360 is a comprehensive point cloud post-processing software suite developed by GreenValley International Inc (GVI). It offers a huge collection of tools and functions, from basic point cloud management tools like outlier removal, normalization, projection, and extraction, to advanced algorithms for industry-specific applications, e.g. Terrain, ALS/TLS Forestry, and Powerline Survey. The Lidar360 suite consists of 5 modules (as of June 2018): 1. Framework -- contains a number of core toolsets to effectively visualize and interact with lidar point cloud including display modes, statistics, data management, classification tools, vector editing and strip adjustment; 2. Terrain -- a suite of GIS tools for calculating slope, roughness, aspect & contours from surface models. Additionally, it contains tools for repairing surface models, i.e., spikes, holes and extraneous values; 3 & 4. ALS/TLS Forestry -- The ALS Forestry functions allow users to calculate essential forest metrics including elevation, intensity, canopy cover, LAI etc., and provides regression models and segmentation algorithms such as CHM Segmentation & Point Cloud Segmentation. The TLS Forestry tools are specifically designed to work with terrestrial lidar data. It offers a wealth of tools including Gaussian Mixture Model Classification and TLS Point Cloud segmentation, enabling the users to better classify ground, leaf and trunk points and segment individual trees from TLS point cloud data; and, 5. Power |