...

LIS Tools - a set of versatile tools

This package provides general tools for raster, shapes and point cloud processing, including attribute management, spatial clipping as well as subset extraction based on attribute values.

Tool: About LIS

Features
• retrieve general and license information about the running LIS Pro 3D instance
Applications
• product information and licencing

Tool: Attach Grid Values to Point Cloud

Features
• attachment of values from grid datasets as attribute(s) to each point
Applications
• attachment of additional, raster-based information to a point cloud

Tool: Attach Point Index as Attribute

Features
• attachment of the index of each point in the point cloud as attribute
Applications
• analysis and storage of the sorting of the points within a point cloud file

Tool: Clip Point Cloud with Extent

Features
• extraction of a point cloud subset
• clipping area is defined by either the extent of a shapes layer or by coordinates
• several options how to handle points lying on the border of the clipping extent
Applications
• extraction of spatial subsets from a point cloud dataset
• removal of tile overlaps in seamless data processing workflows

Tool: Clip Point Cloud(s) [interactive]

Features
• extraction of subsets from one or several point cloud datasets
• area-of-interest is defined interactively by either dragging a box or by digitizing a polygon
Applications
• extraction of spatial subsets from a point cloud dataset

Tool: Clip Point Cloud(s) with Shapes

Features
• extraction of subsets from one or several point cloud datasets
• area-of-interest is defined by either the extent or the polygons of a shapesfile
• optionally only the selected polygons are processed
Applications
• extraction of spatial subsets from a point cloud dataset

Tool: Close Gaps by Horizontal Plane

Features
• closing of NoData gaps in a grids dataset by a horizontal plane
• the elevation of the plane is determined from the boundary cells of the NoData gap
• optionally an offset can be applied to the plane
Applications
• gap filling in DTM datasets (removed buildings or water bodies)

Tool: Create Point Cloud Attribute

Features
• create a new point cloud attribute with a default value
Applications
• attribute management
• point cloud editing

Tool: Drop Point Cloud Attributes

Features
• deletion of attributes from a point cloud
Applications
• removal of attributes, e.g., temporary processing results

Tool: Drop Subset from Point Cloud

Features
• drop of a subset of points from a point cloud based on attribute values
• selection of points to drop based on a single value, a range of values or value ranges specified in a lookup table
Applications
• deletion of points from a point cloud, e.g., all points labeled as noise

Tool: Extract Subset from Point Cloud

Features
• extraction of a subset of a point cloud based on attribute values
• extraction based on a single value, a range of values or value ranges specified in a lookup table
Applications
• extraction of point cloud subsets, e.g., all ground points or all points which show an intensity greater than a threshold value

Tool: Height Above Ground from Grid

Features
• computation of the height above ground for each point in a point cloud from a raster DEM
• height can be computed as vertical offset to the grid or as shortest distance to a triangulation of the 3x3 grid cell neighborhood
Applications
• height above ground computation for further analyses (e.g. Canopy Height Model creation or point cloud classification)

Tool: Insert Vertices into Lines or Polygons

Features
• insertion of additional vertices into line or polygon shapes layers with a user defined stepping
• interpolation of vertices' Z and M measures
Applications
• densification of line and polygon shapes (e.g. for later smoothing)

Tool: Intensity Correction

Features
• model driven correction of the LiDAR intensity signal
• correction methods (can be used in combination): atmospheric attenuation, range normalization, topographic influence
Applications
• intensity correction (applied to flight strips or scan positions)

Tool: Invert Normals

Features
• inversion of point cloud normals
Applications
• inverting normal direction

Tool: Join Attributes

Features
• joining of attributes from a second point cloud to the input point cloud based on a unique identifier
• attributes to join can be selected
Applications
• attachment of information from one point cloud to another

Tool: Join Attributes From Table

Features
• joining of attributes from a table to the input point cloud based on a unique identifier
• attributes to join can be selected
• points without matching identifier can be dropped
Applications
• attachment of information from a table to a point cloud

Tool: Join Attributes by NN Search

Features
• joining of attributes from a second point cloud to the input point cloud based on a nearest neighbor search
• maximum distance threshold
• attributes to join can be selected
Applications
• attachment of information from one point cloud to another, e.g., classification

Tool: Join PC Attributes to Shape Vertices by NN Search

Features
• joining of attributes from a point cloud to the vertices' Z (elevation) and M (measure) values of a shapes layer
• 2D or 3D nearest neighbor search and maximum distance threshold
• control of join by constraining attributes
Applications
• attachment of elevation (and measures) from a point cloud to the vertices of a shapes layer (e.g. elevation of building points)

Tool: Line and Polygon Smoothing

Features
• smoothing of line or polygon shapes layers by Gaussian filtering with shrinkage correction
• optional smoothing in z-direction
Applications
• line and polygon smoothing (2D and 3D)

Tool: Map Point Cloud to Scanner

Features
• mapping of points of a point cloud to scanner positions or trajectories based on GPS time, position identifier, or nearest neighbor search
• created attributes: direction vector pointing to the scanner position, scanner position, range to scanner, polar angle, azimuthal angle
Applications
• attachment of the direction vector to scanner in order to correctly estimate the normal vector orientation
• attributes for quality-based filtering and accuracy estimation

Tool: Merge Point Clouds

Features
• merging of two or more point clouds into a single dataset
• optionally a unique identifier attribute field can be added
Applications
• merging of point clouds from different scan positions or flight strips

Tool: Orient Normals

Features
• re-orient normals of a point cloud in a consistent way
• methods: user-defined reference normal, global normal, normal per cluster, direction to scanner, minimum spanning tree
Applications
• correction of normal vectors

Tool: Reclassify Point Cloud Attribute

Features
• reclassification of points based on attribute values
• reclassification based on a single value, a range of values or value ranges specified in a lookup table
• special options for NoData values and values outside the classification range
Applications
• reclassification of point clouds based on attribute values, e.g., merge three vegetation classes into one

Tool: Remove Overlap from PC Tiles

Features
• removal of spatial overlap from point cloud tiles
• bounding boxes of tiles are defined in a polygon shapes layer
• reading of all files in an input directory and writing of the result to another directory
Applications
• removal of spatial overlap from point cloud tiles after processing

Tool: Retile Point Cloud

Features
• retiling of a point cloud into several datasets based on a polygon shapes layer
• tiles are defined by the bounding boxes or by the (irregular) shapes of the polygons
• output directly to disk, optionally
Applications
• spatial retiling of point clouds, e.g., in order to generate smaller tiles for data processing or for use in a virtual point cloud dataset

Tool: Sort Point Cloud by Attribute

Features
• sorting of the points of a point cloud based on attribute values
Applications
• point cloud sorting, e.g. by gps-time or intensity

Tool: Split Point Cloud

Features
• splitting of a point cloud into several datasets based on the values of an attribute field and a user provided interval
Applications
• separation of point classes or flight strips
• tiling based on, e.g., GPS time