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.

Date	Tool Name	Tool Type	Keywords	Rating
3 Apr 2011	SAGA GIS 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).	Software Suite	GIS, Terrain Analysis, Visualization, Raster, Vector, Pointcloud, LAS	(1 rating)
3 Dec 2018	scarplet Description: scarplet is a Python package for detecting and relatively dating landforms like fault scarps in DEMs. It implements curvature based landform templates that can be used to estimate the maturity of a feature by diffusion dating or detect distinctive topographic features.	DEM Analysis	Python, fault scarp, edge detection, image processing, diffusion dating	(0 rating)
18 Jan 2016	Landlab Description: Landlab is a Python-based modeling environment that allows scientists and students to build numerical landscape models. Landlab was designed for disciplines that quantify earth surface dynamics such as geomorphology, hydrology, glaciology, and stratigraphy, but can also be used in related fields. Landlab provides components to compute flows (such as water, sediment, glacial ice, volcanic material, or landslide debris) across a gridded terrain. With its robust, reusable components, Landlab allows scientists to quickly build landscape model experiments and compute mass balance across scales.	DEM Analysis, Software Suite	model, water, erosion, routing	(1 rating)
7 Jul 2016	NERC-ARF DEM Scripts Description: A collection of scripts developed by the Natural Environment Research Council (NERC) Airborne Research Facility Data Analysis Node (NERC-ARF-DAN; formerly ARSF) for generating DEMs from point clouds. Through command line tools or Python functions the ARSF DEM Scripts provide a common interface to generate DSMs or DTMs from LAS files using GRASS, SPDLib, points2grid, FUSION or LAStools. When using SPDLib, FUSION or LAStools will classify ground returns to produce a DTM (note license required to produce a DTM using LAStools). Additional utilities are available for manipulating DEMs (e.g., patching with a courser resolution DEM to fill in gaps) using GRASS.	DEM generation	DTM, DSM, LAS, GRASS	(2 ratings)
23 Sep 2014	TerEx Description: The TerEx Tool automates the process of mapping terraces and floodplains from high resolution topography data (works best on <3m grid resolution). The tool maps terraces and floodplains from user-defined parameters including, a local-relief threshold selected by a variable-size moving window, minimum area threshold, and maximum distance from the channel to identify and map discrete terrace and floodplain surfaces. Subsequently, the tool automatically measures planform area, absolute elevation, and height relative to the local river channel for each terrace polygon. TerEx can be run in a Python environment or as a GUI plugin for ArcMap. See Stout and Belmont, 2014 and the users manual for explanations of tool functionality and several test cases that provide guidance on parameter values for a wide range of landscapes.	DEM Analysis	terrace, mapping, feature extraction, floodplain	(0 rating)