The OpenTopography Tool Registry provides a community populated clearinghouse of software, utilities, and tools oriented towards high-resolution topography data (e.g. collected with lidar technology) handling, processing, and analysis. Tools registered below range from source code to full-featured software applications. We welcome contributions to the registry via the Contribute a Tool page.

	Tool Name	Date	Tool Type	Rating
1	VRMesh Survey: LiDAR Point Cloud Classification Tool	30 Mar 2011	Software Suite
Keywords: lidar, bare earth, point cloud, classification License: Commercial License Description: Vrmesh Survey is an intelligent solution for automatic point cloud classification and bare-earth extraction. It automatically and accurately classifies LIDAR point clouds into ground, vegetation, building, and others. More than 90% identification jobs will be done in a one-click process. Manual adjustments can be easily performed in a cross section view. It also provides comprehensive functionalities to generate accurate triangle meshes.
2	SAGA GIS	3 Apr 2011	Software Suite
Keywords: GIS, Terrain Analysis, Visualization, Raster, Vector, Pointcloud, LAS License: GNU General Public License Description: SAGA GIS is a FOSS which is, besides common GIS tasks, specialized on digital terrain analysis. The software provides a lot of analysis tools which you will not find in any other software package, e.g. for morphometric or hydrologic analysis. SAGA supports various raster and vector (including LAS and SAGA point clouds) formats, DEM generation, analysis and visualization (e.g. 3D point cloud viewer, bare earth extraction). One of SAGA's main objectives is to provide scientists an easy to use API to implement own algorithms (C++) but it is also used in commercial environments. SAGA provides a GUI and can be scripted in various ways (e.g. batch/bash, python). SAGA runs on Windows, Linux and FreeBSD, both 32 and 64bit. The software is licensed under the GPL (GUI, most of the modules) and the LGPL (API).
3	LIDAR Analyst	20 Mar 2014	Software Suite
Keywords: LIDAR, Automated Feature Extraction License: Commercial License Description: LIDAR Analyst® software is the premier feature extraction solution for airborne LIDAR data, allowing geospatial analysts to unlock the value of LIDAR by automatically extracting 3D objects such as bare earth, trees or buildings. Now the software has been upgraded with a major enhancement: an integrated 3D Viewer that delivers mission-critical high-resolution 3D exploitation and further establishes LIDAR Analyst as the Gold Standard. Enjoy the performance of viewing and manipulating LIDAR data containing over a billion points. LIDAR Analyst has eight years of proven heritage as one of the first commercially released LIDAR applications. The power, speed, accuracy and broad selection of tools enable users to get real work accomplished. Thats why LIDAR Analyst is so widely respected and used daily by military forces, federal agencies, local governments, academic universities and GIS services providers around the globe. Since LIDAR Analyst is an extension for Esri ArcGIS®, the products familiar environment makes it easy to install and learn. Use the 3D Viewer to manipulate, filter and edit LIDAR point clouds displayed in stunning color. Rapidly inventory all the buildings across a city or area of interest by using LIDAR Analysts advanced algorithms to detect, recognize, and extract complex 3D building shapes. Count the trees in a forest or scattered throughout a neighborhood. Strip away the buildings and shrubbery to reveal the true ground level for detailed terrain.
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).