Tool Name | Date | Tool Type | Rating | |
---|---|---|---|---|
1 | LAStools | 6 May 2012 | Software Suite | |
Keywords: filtering, clipping, reprojecting, compression, classification, DSM, DTM, TIN, contours, bare-earth
License: Other Description: LAStools are a collection of highly-efficient, batch scriptable, multi-core command line tools for processing LiDAR that is built upon LASlib (with LASzip). |
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2 | 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 |