|19 Nov 2010
|LViz: 3D LiDAR Visualization Tool
Description: LViz is a tool designed for 3D visualization of LiDAR point cloud and interpolated data, the tool offers import of LiDAR point cloud data (delimited text file) or interpolated surfaces (in ascii or arc ascii grid formats). LViz also offers texture mapping and user control over display settings such as data and background color. LViz was originally written for visualization of outputs from the GEON LiDAR Workflow system and is designed to run on Windows platforms. Although originally conceived for the 3D visualization of LiDAR data, LViz can be used to view any 3D point cloud data such as seismicity or gravity.
|point cloud, lidar, viz, ascii
|20 Nov 2010
Description: libLAS is a C/C++ library for reading and writing the very common LAS LiDAR format. The ASPRS LAS format is a sequential binary format used to store data from LiDAR sensors and by LiDAR processing software for data interchange and archival. First, libLAS focuses almost completely on providing an easy-to-program-with library for software developers wishing to implement the LAS specification in their own software. Second, libLAS exists to provide a truly open source library. Third, libLAS exists to provide advanced functionality and concentrate almost solely on the specification not LiDAR data processing in general. libLAS a building block for developers to use to implement their own LiDAR data processing when working with ASPRS LAS data.
|Data Management / Handling
|LAS, point cloud, libLAS
|24 Nov 2010
|GRASS GIS (Geographic Resources Analysis Support System)
Description: GRASS is free Geographic Information System (GIS) software used for geospatial data management and analysis, image processing, graphics/maps production, spatial modeling, and visualization. GRASS is currently used in academic and commercial settings around the world, as well as by many governmental agencies and environmental consulting companies. GRASS is an official project of the Open Source Geospatial Foundation.
GRASS has a number of functions related to lidar and high-resolution DEM processing and analysis. lidar specific elements of GRASS are discussed here: http://grass.osgeo.org/wiki/LIDAR
|grass, gis, osgeo
|3 Dec 2010
|GDAL - Geospatial Data Abstraction Library
Description: GDAL is a translator library for raster geospatial data formats that is released under an X/MIT style Open Source license by the Open Source Geospatial Foundation. As a library, it presents a single abstract data model to the calling application for all supported formats. It also comes with a variety of useful commandline utilities for data translation and processing.
GDAL is a powerful tool for converting digital elevation model (DEM) formats, performing coordinate system conversions, and the gdaldem utility provides basic processing functionality such as generation of hillshades and slope maps.
|Data Management / Handling
|DEM, osgeo, coordinates, file formats
|13 Aug 2011
|Point Cloud Library (PCL
Description: The Point Cloud Library (or PCL) is a large scale, open project for point cloud processing.
The PCL framework contains numerous state-of-the art algorithms including filtering, feature estimation, surface reconstruction, registration, model fitting and segmentation.
PCL is released under the terms of the BSD license and is open source software. It is free for commercial and research use. The project is financially supported by multiple companies, including: Willow Garage, NVidia, Google, and Toyota
|Point Cloud Analysis
|point clouds, visualization, processing, segmentation, filtering, feature estimation, registration
|3 Nov 2011
Description: CloudCompare is a 3D point cloud and triangular mesh processing software. It has been originally designed to perform fast cloud/cloud or cloud/mesh comparison on huge datasets such as those acquired by laser scanners). Afterwards, it has been extended to a more generic 3D data editing and processing software.
|Point Cloud Analysis
|3D point cloud mesh comparison editing processing lidar laser scanner
|6 May 2012
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).
|filtering, clipping, reprojecting, compression, classification, DSM, DTM, TIN, contours, bare-earth
|20 Mar 2014
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.
|LIDAR, Automated Feature Extraction
|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
|SPD, SPDLib, LiDAR, TLS, ALS, Full, waveform, Discrete, return, points
|17 Dec 2012
Description: ENVI LiDAR is an interactive geospatial software environment that allows you to create realistic 3D visualizations and easily extract important features (trees, powerlines, buildings) from LiDAR point cloud data. Elevation information contained within LiDAR can be included in your geospatial analysis projects such as viewshed and line-of-sight studies, forest inventories, right-of-way analyses, and urban planning applications. With ENVI LiDAR, you have the software tool to quickly prepare LiDAR data, accurately extract 3D features, fine-tune results, and export your results to your existing tools, such as ENVI or ArcMap, for further analysis or inclusion in your geospatial products.
|LiDAR, Point Cloud, DSm, DTM, Feature Extraction
|18 Feb 2013
|Optimized Pit Removal
Description: ArcGIS (version 10.1) geoprocessing script tools for removing pits (or sinks) from Digital Elevation Models using a combination of cut and fill. This alternative to the standard Fill tool provides more realistic flow paths with less required manual adjustment. Ideal for high-resolution datasets such as LiDAR.
The tool also allows users to mark specific depressions to be left unmodified by setting the lowest cell to have a value of No Data. This feature can be used to establish reservoirs as well as known drainage features such as storm sewer inlets.
Also contains a C++ executable that can be run via command line inputs independent of ArcGIS, and which operates on ASCII grid files.
|Pit Removal, Sink Removal, Fill, Cut, Hydrologic Conditioning, Flow Direction, Flow Accumulation
|22 Feb 2014
Description: RiverTools is a user-friendly GIS application that contains a wide variety of tools specifically designed for terrain and watershed analysis and visualization. Version 4.0 supports the latest versions of Windows, Mac OS X and Linux.
|DEMs, terrain, river network extraction, contributing area, curvature
|4 Sep 2014
|Geomorphic Change Detection Software
Description: The GCD software was developed primarily for morphological sediment budgeting in rivers. The volumetric change in storage is calculated from the difference in surface elevations from digital elevation models (DEMs) derived from repeat topographic surveys. As each DEM has an uncertain surface representation (which might vary in space and time), our ability to detect changes between surveys is highly dependent on surface representation uncertainties inherent in the individual DEMs. The fundamental problem is separating out the changes between the surveys that are due to geomorphic change as opposed to noise in the survey data. GCD provides a suite of tools for quantifying those uncertainties independently in each DEM and propagating them through to the DEM of difference. The program also provides ways for segregating the best estimates of change spatially using different types of masks. The overall suite of tools is more generically applicable to many different spatial raster-based change detection problems.
|DEM error modelling, change detection, DEM uncertainty, geomorphic interpretation
|25 Nov 2014
|PointCloudViz Free Edition
Description: PointCloudViz is a free 3D LiDAR display and processing tool supporting input LAS, LAZ and ASCII formats. It provides very interactive visualization and attribute symbology without data size limits, as well as single or multiple orthoimage draping and grid DEM export.
LiDAR data can be imported from multiple files, and also multiple processed datasets can be displayed simultaneously.
PointCloudViz FE is available for Windows, Mac and Linux operating systems.
Version 2.0 includes linear measurement and information tools, Web Map Service image draping and connection to Mirage's Web LiDAR server.
|Visualization, DEM generation
|3D, LiDAR, DEM, orthoimage, WMS, LiDAR server
|26 Jan 2015
Description: Global Mapper is an affordable and easy-to-use GIS application that offers access to an unparalleled variety of spatial datasets and provides just the right level of functionality to satisfy both experienced GIS professionals and beginning users. Equally well suited as a standalone spatial data management tool and as an integral component of an enterprise-wide GIS, Global Mapper is a must-have for anyone who deals with maps or spatial data.
Global Mapper is more than just a utility; it has built in functionality for distance and area calculations, raster blending, feathering, spectral analysis, elevation querying, line of sight calculations, cut-and-fill volume calculations, as well as advanced capabilities like image rectification, contour generation from surface data, view shed analysis, watershed delineation, sea level rise modeling, terrain layer comparison, and triangulation and gridding of 3D point data.
Users can now simulate fly-through recordings in high-definition with various sky models in the 3D viewer. This new Skybox tool enables users to choose from a handful of existing sky templates or custom designs. Support for 3D textures and meshes have also been added to give data a more realistic look, including support for a host of new 3D formats. Live GPS data can also now be viewed and tracked in the 3D Viewer. Version 16 features dramatically faster processing speeds for analyzing large amounts of data.
|Visualization, Point Cloud Analysis, DEM generation, DEM Analysis
|GIS, LiDAR, file format translation, data analysis, 3D, Vector Raster, image rectification, contour
|5 Mar 2015
|Global Mapper LiDAR Module
Description: The Global Mapper LiDAR Module is an optional enhancement to the software that provides numerous advanced LiDAR processing tools, including automatic point cloud classification, feature extraction, cross-sectional viewing and editing, dramatically faster surface generation, and much more. At a fraction of the cost of comparable applications, it is a must-have for anyone using or managing LiDAR data.
|Visualization, Point Cloud Analysis
|automatic point cloud classification, feature extraction, cross-sectional viewing and editing, drama
|19 Mar 2015
Description: Civil Maps allows users to upload their survey data, then specify the assets of interest and mapping specification. Upon upload, Civil Maps indexes all of the spatial information as defined in the mapping specification into a query-able format. The maps can then be dynamically generated on demand and exported to various tools such as AutoDesk Map3D from Civil Maps, which is useful for integrating into the customers workflow. The biggest pain point in the industry is the time to annotate 3D scans. Currently, processing huge 3D survey datasets is limited by the point and click annotation speed of the user and the limited resources of the users computer (I/O, CPU, Network, Memory).
By circumventing these bottlenecks, Civil Maps is introducing a paradigm shift in the workflow of annotating 3D survey data. Advancements in parallel computing and deep learning allows Civil Maps to reduce 2 years of manual annotation work down to 2 days of processing using our cloud infrastructure
|Visualization, Point Cloud Analysis, Data Management / Handling
|deep learning, artificial intelligence, point cloud streaming protocol
|29 Jul 2015
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.
|DEM, DSM, DTM, CHM, PDAL, points2grid, gridding
|4 Aug 2015
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
|3 Dec 2018
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.
|Python, fault scarp, edge detection, image processing, diffusion dating
|4 Sep 2014
|CHaMP Topo Processing Toolbar
Description: The CHaMP Topo Processing Toolbar exists to take raw data from CHaMP ground-based topographic surveys and run these through steps of 1) survey data evaluation, 2) generating topographic surfaces, 3) DEM derived products and metrics (including, detrending, derivation of cross sections, profiles, thalwegs, bankfull, etc.), 4) QA/QC. Although the overall workflow of the tool is focused on CHaMP topographic data, many of the individual commands and steps will be more generically useful to some.
|total station surveys, topographic
|5 Jul 2018
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,
|Visualization, Point Cloud Analysis, DEM generation, DEM Analysis, Data Management / Handling, Software Suite
|Point Cloud Processing, Terrain Classification, ALS Forestry, TLS Forestry, Lidar Power line Survey
|18 Jan 2016
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
|23 Jul 2018
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.
|diffuse pollution, non-point source pollution, connectivity, critical source areas
|29 May 2019
Description: uniDEM specializes in post-processing DEMs of all resolutions. This release includes the capability to automate workflows based on graphical programming (scripting), the automated “Bare Ground Classification” tool and the “LiDAR Point Cloud Classification” tool. uniDEM is an efficient but comprehensive solution for standardized large-area DEM creation as well as for generating customer tailored DEMs over small areas. Creates DEMs from LIDAR (las, laz, e57) and completes a DSM or DTM in minutes.
|Visualization, Point Cloud Analysis, DEM generation, DEM Analysis, Data Management / Handling
|DEM editing, automated workflows, Point Cloud Classification and DEM generation, DTM creation, QC
|18 Mar 2011
|River Bathymetry Toolkit (RBT)
Description: The (RBT) is available for free and is under active development. Tools exist for cutting cross sections and longitudinal profiles into high resolution DEMs to extract hydrologic parameters such as wetted area, bankfull width, hydraulic radius, gradient and sinuosity. It is possible to save the cross section properties as a ShapeFile and then add them to a map. Using an automated detrending algorithm we are able to remove the overall valley slope. Tools are being created that use the detrended raster to investigate flooding outside a main channel at any prescribed discharge or flow stage.
|LiDAR, bathymetry, river, raster, detrending, water, RBT
|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.
|DTM, DSM, LAS, GRASS
|4 Nov 2019
Description: uniTank is a comprehensive, highly automated software solution for near real-time 3D storage tank analysis and reporting based on 3D LiDAR data. The data registration tool is robust and versatile and does not rely on targets in field. uniTank‘s in-depth structural tank analysis includes precise data classification and feature extraction, manway and nozzle detection for tank calibration and all features to perform the analysis of shell roundness, verticality, peaking and bending, shell and edge settlement, roof, floor and floating roof settlement, floating roof rim space, girder, rafter and column deflection as well as tank calibration and berm survey. The graphic and textual reports are generated instantly and offer rapid access to critical decision making information the same day.
|Visualization, Point Cloud Analysis, Data Management / Handling
|laser scan data, LIDAR, point cloud, data registration, classification, storage tank analysis, tank
|21 Nov 2020
|elevatr: Access elevation data from various APIs
Description: The R package, elevatr, provides access to several APIs for elevation data. Starting with version 0.3.1, elevatr provides access to the Open Topography Global Datasets API allowing R users to directly access the GL3, GL1, and ALOS datasets by using a common geospatial workflow in R.
|Data Management / Handling
|R Package, elevation data access
|6 Feb 2023
Description: Eduard creates beautiful and accurate Swiss-style shaded relief images for maps. Machine learning in Eduard produces high-quality shaded relief within seconds from digital elevation models. Eduard includes a convenient tool for downloading and exporting ALOS, NASA DEM and SRTM elevation models form OpenTopography.org. Eduard is available for macOS on the Mac App Store.