|Date||Tool Name||Tool Type||Keywords||Rating|
|20 Nov 2010||Points2Grid Utility (winP2G)
Description: The Points2Grid Utility is a simple tool for the generation of Digital Elevation Models (DEMs) from LiDAR point cloud data. The Points2Grid Utility is a Windows application that utilizes the same local binning algorithm deployed in the OpenTopography LiDAR system to offer rapid generation of DEMs from large volumes of LiDAR point return data.
|DEM generation||point cloud, lidar, DEM, gridding, binning||
|9 Jun 2011||MCC-LIDAR
Description: Multiscale Curvature Classification of ground returns in 3-D lidar point clouds (las files), designed for forested environments
|Point Cloud Analysis||classification, filter, curvature, ground, interpolation||
|6 May 2012||LAStools
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).
|Software Suite||filtering, clipping, reprojecting, compression, classification, DSM, DTM, TIN, contours, bare-earth||
|24 May 2012||SPD Software Library (SPDLib)
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
|Software Suite||SPD, SPDLib, LiDAR, TLS, ALS, Full, waveform, Discrete, return, points||
|4 Aug 2015||FUSION
Description: The FUSION/LDV analysis and visualization system consists of two main programs, FUSION and LDV (LIDAR data viewer), and a collection of task-specific command line programs. The primary interface, provided by FUSION, consists of a graphical display window and a control window. The FUSION display presents all project data using a 2D display typical of geographic information systems. It supports a variety of data types and formats including shapefiles, images, digital terrain models, canopy surface models, and LIDAR return data. LDV provides the 3D visualization environment for the examination and measurement of spatially-explicit data subsets. Command line programs provide specific analysis and data processing capabilities designed to make FUSION suitable for processing large LIDAR acquisitions.
Command line utilities and processing programs, called the FUSION LIDAR Toolkit or FUSION-LTK, provide extensive processing capabilities including bare-earth point filtering, surface fitting, data conversion, and quality assessment for large LIDAR acquisitions. These programs are designed to run from a command prompt or using batch programs.
FUSION runs on all current versions of Windows and has been successfully used on LINUX systems using WINE. The FUSION/LDV visualization system is GUI based. The command line tools require the use of batch files to be most effective.
|Visualization, Point Cloud Analysis, DEM generation, DEM Analysis, Software Suite||LIDAR, visualization, processing||
|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||