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	CHaMP Transformation Tool	4 Sep 2014	Data Management / Handling
Keywords: transformation, georeferencing point cloud License: GNU General Public License Description: The Ecogemorphology & Topographic Analysis Lab (ET-AL) and the RSGIS Laboratory developed this ArcGIS Add-in for the transformation and projection of CHaMP field survey data (Bouwes et al. 2011) into real world coordinates given hand-held GPS coordinates from just three benchmarks. The CTT will work with any unprojected data in a file geodatabase, and gives you multiple ways to do an afine transformation based on a simple shift and rotation. Although other transformation tools exist in ArcGIS, there is not a simple sequence of geoprocessing tools, which allow you to transform vector data in a manner that preserves the high relative accuracy of a total station survey. See Wheaton et al. (2012) and the ReadMe page for more background.
2	lidar2dems	29 Jul 2015	DEM generation
Keywords: DEM, DSM, DTM, CHM, PDAL, points2grid, gridding License: BSD license Description: The lidar2dems project is a collection open-source (FreeBSD license) command line utilities for supporting the easy creation of Digital Elevation Models (DEMs) from LiDAR data. lidar2dems uses the PDAL library (and associated dependencies) for doing the actual point processing and gridding of point clouds into raster data.
3	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
4	SCIMAP	23 Jul 2018	DEM Analysis
Keywords: diffuse pollution, non-point source pollution, connectivity, critical source areas License: Other Description: SCIMAP is a diffuse / non-point pollution risk mapping tool design to identify where within a catchment the pollutants are most likely to be come from. The tool work for sediment, nutrients and microbial pollution and enables the effective targeting of mitigation measures. SCIMAP identifies the critical source areas for the pollutant by the joint consideration of the mobilisation and hydrological connectivity patterns across the landscape. The tool can use both LiDAR and drone derived detailed topographic data.