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 |
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• retrieve general and license information about the running LIS Pro 3D instance |
Applications |
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• product information and licencing |
Tool: Attach Grid Values to Point Cloud
Features |
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• attachment of values from grid datasets as attribute(s) to each point |
Applications |
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• attachment of additional, raster-based information to a point cloud |
Tool: Attach Point Index as Attribute
Features |
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• attachment of the index of each point in the point cloud as attribute |
Applications |
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• analysis and storage of the sorting of the points within a point cloud file |
Tool: Clip Point Cloud with Extent
Features |
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• 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 |
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• 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 |
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• 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 |
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• extraction of spatial subsets from a point cloud dataset |
Tool: Clip Point Cloud(s) with Shapes
Features |
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• 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 |
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• extraction of spatial subsets from a point cloud dataset |
Tool: Close Gaps by Horizontal Plane
Features |
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• 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 |
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• gap filling in DTM datasets (removed buildings or water bodies) |
Tool: Create Point Cloud Attribute
Features |
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• create a new point cloud attribute with a default value |
Applications |
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• attribute management |
• point cloud editing |
Tool: Drop Point Cloud Attributes
Features |
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• deletion of attributes from a point cloud |
Applications |
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• removal of attributes, e.g., temporary processing results |
Tool: Drop Subset from Point Cloud
Features |
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• 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 |
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• deletion of points from a point cloud, e.g., all points labeled as noise |
Tool: Extract Subset from Point Cloud
Features |
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• 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 |
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• 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 |
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• 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 |
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• 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 |
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• insertion of additional vertices into line or polygon shapes layers with a user defined stepping |
• interpolation of vertices' Z and M measures |
Applications |
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• densification of line and polygon shapes (e.g. for later smoothing) |
Tool: Intensity Correction
Features |
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• model driven correction of the LiDAR intensity signal |
• correction methods (can be used in combination): atmospheric attenuation, range normalization, topographic influence |
Applications |
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• intensity correction (applied to flight strips or scan positions) |
Tool: Invert Normals
Features |
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• inversion of point cloud normals |
Applications |
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• inverting normal direction |
Tool: Join Attributes
Features |
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• 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 |
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• attachment of information from one point cloud to another |
Tool: Join Attributes From Table
Features |
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• 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 |
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• attachment of information from a table to a point cloud |
Tool: Join Attributes by NN Search
Features |
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• 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 |
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• attachment of information from one point cloud to another, e.g., classification |
Tool: Join PC Attributes to Shape Vertices by NN Search
Features |
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• 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 |
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• 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 |
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• smoothing of line or polygon shapes layers by Gaussian filtering with shrinkage correction |
• optional smoothing in z-direction |
Applications |
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• line and polygon smoothing (2D and 3D) |
Tool: Map Point Cloud to Scanner
Features |
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• 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 |
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• 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 |
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• merging of two or more point clouds into a single dataset |
• optionally a unique identifier attribute field can be added |
Applications |
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• merging of point clouds from different scan positions or flight strips |
Tool: Orient Normals
Features |
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• 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 |
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• correction of normal vectors |
Tool: Reclassify Point Cloud Attribute
Features |
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• 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 |
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• reclassification of point clouds based on attribute values, e.g., merge three vegetation classes into one |
Tool: Remove Overlap from PC Tiles
Features |
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• 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 |
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• removal of spatial overlap from point cloud tiles after processing |
Tool: Retile Point Cloud
Features |
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• 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 |
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• 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 |
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• sorting of the points of a point cloud based on attribute values |
Applications |
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• point cloud sorting, e.g. by gps-time or intensity |
Tool: Split Point Cloud
Features |
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• splitting of a point cloud into several datasets based on the values of an attribute field and a user provided interval |
Applications |
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• separation of point classes or flight strips |
• tiling based on, e.g., GPS time |