is almost identical to las2iso except that it can extract elevation contours from much much larger inputs. While las2iso operates in-core and is therefore limited to a maximum of around 20 million points, blast2iso utilizes unique “streaming TIN” technology and can seamlessly process up to 2 billion points. This tool is part of the BLAST extension of LAStools. For more details see the README file.
is almost identical to las2dem except that it can process much much larger inputs. While las2dem operates in-core and is therefore limited to a maximum of around 20 million points, blast2dem utilizes unique “streaming TIN” technology and can seamlessly process up to 2 billion points. This tool is part of the BLAST extension of LAStools. For more details see the README file.
Finds sufficiently planar patches of LAS/LAZ points fulfilling a number of user-defineable criteria that are output as simple polygons to SHP or RIEGL’s PEF format. The tool was originally designed for generating tie planes to match the point clouds of a mobile scan that suffer from errors in the GPS trajectory to accurate terrestrial scans
reads LIDAR data in LAS/LAZ/ASCII format and creates a TIN. It is possible to triangulate only certain points like only first returns (-first_only) or only last returns (-last_only). One can also only triangulate only points that have a particularclassification. The option (-keep_class 2 3) will triangulate only the points of classification 2 or 3. The
Compares rasters in ASC, BIL, TIF, IMG and RasterLAZ format andreports differences. See README file for more information.
This tools computes a voxelization of points and stores the number of voxels per cell as the intensity. You can specify the xy and the z size of the voxel cells separately with ‘-step_xy 2’ and ‘-step_z 0.3’ which would create cells of size 2 by 2 by 0.3 units or use uniform sized cells
is a tool that computes common forestry metrics from height-normalized LiDAR point clouds. It can compute canopy density or canopy cover (or gap fractions), height or intensity percentiles, averages, minima, maxima, kurtosis, skewness, standard deviation, and many more. The input plots can either be defined in several ways: Gridded plots can either be output as a
computes the height of each point above the ground. This assumes that grounds points have already been ground-classified (with standard classification 2 or selected with ‘-class 31’ or ‘-classification 8’) so they can be identified to construct a ground TIN. The ground points can also be in an separate file ‘-ground_points ground.las’ or ‘-ground_points dtm.csv
is a tool that reads LIDAR from LAS/LAZ/ASCII and grids them onto a raster. The most important parameter ‘-step n’ specifies the n x n area that of LiDAR points that are gridded on one raster cell (or pixel). The output is either in BIL, ASC, IMG, TIF, PNG, JPG, XYZ, FLT, or DTM format.
is a tool that reads LIDAR points from LAS/LAZ/ASCII (or rasters from ASC/BIL/DTM format) and extracts a set of particular elevation contours in SHP/KML/WKT/TXT format. The user may specify to extract contours every 5 meters or only for individual elevation values. The contours can be smoothed or simplified on demand and hydro breaklines can be specified as well. las2iso can
