LIS Conversion - spatial data type conversions
This package contains tools for various spatial data type conversions like point cloud to shapes or rasters (and vice versa, including a lot of additional features like different interpolation methods, statistical aggregation, point cloud normalization and classification) and tools for bounding box generation from data in different formats.
Tool: Create Points on Polygons
| Features |
|---|
| • creation of a point cloud from polygons |
| • place regularly spaced points on the surface of 2.5D/3D polygons |
| Applications |
|---|
| • convert polygons to a regularly spaced point cloud |
| • model to point cloud comparison (preprocessing step for a point cloud to point cloud distance measurement) |
| • creation of artificial points on polygons of (water) surfaces |
Tool: Create Trajectory Point Cloud from Line
| Features |
|---|
| • creation of trajectory point clouds from a line shapes layer |
| • user defined horizontal point spacing |
| • user defined vertical point spacing (from baseline), optional |
| Applications |
|---|
| • easy creation of trajectories |
| • input for the 'Map Point Cloud to Scanner' tool (direction/position) |
Tool: Get Extent of ASCII Files as Shapes
| Features |
|---|
| • creation of a polygon shapes layer from one or several ASCII files |
| • polygon shapes are describing the bounding box of each dataset |
| • attribute table reports simple point statistics and point density |
| • columns in the input files can be in any order (files must match each other) |
| • header can be skipped; support of various field separators (tabulator, space or comma) |
| Applications |
|---|
| • creation of tile shapes describing the spatial extent |
| • report of point count, simple statistics and point density (BBox) |
Tool: Get Extent of LAS/LAZ Files as Shapes
| Features |
|---|
| • creation of a polygon shapes layer from one or several LAS/LAZ files |
| • polygon shapes are describing the bounding box of each dataset |
| • attribute table reports min/max elevation and point density |
| Applications |
|---|
| • creation of tile shapes describing the spatial extent |
| • report of point count, simple statistics and point density (BBox) |
Tool: Get Extent of SAGA Point Cloud Files as Shapes
| Features |
|---|
| • creation of a polygon shapes layer from one or several SAGA Point Cloud files |
| • polygon shapes are describing the bounding box of each dataset |
| • attribute table reports min/max elevation and point density |
| Applications |
|---|
| • creation of tile shapes describing the spatial extent |
| • report of point count, simple statistics and point density (BBox) |
Tool: Get Extent of Shapes as Shapes
| Features |
|---|
| • creation of a polygon shapes layer from one or several shapes layers |
| • polygon shapes are describing the bounding box of each dataset |
| • attribute table reports min/max elevation and shape count |
| Applications |
|---|
| • creation of tile shapes describing the spatial extent |
| • creation of a data catalog |
Tool: Grid to Point Cloud (TIN)
| Features |
|---|
| • conversion of a raster data set to a point cloud based on triangulation |
| • thinning of the TIN during the conversion, optional |
| • thinning is controlled by a deviation tolerance to the original |
| • detection of points with high curvature, e.g., breaklines, optional |
| • output of the (thinned) TIN as 3D polygon shapes layer, optional |
| Applications |
|---|
| • raster to point cloud conversion |
| • raster to TIN conversion |
| • optional thinning, e.g., bare earth model |
Tool: Point Cloud Height Slices to Contours
| Features |
|---|
| • conversion of point cloud height slices (elevation bands) to 3D contour line shapes layer |
| • vertex densification, optional |
| • interpolation methods to densify the spacing along the contour lines: linear, Catmull-Rom splines, Hermite |
| Applications |
|---|
| • creation of 3D contour lines from point cloud data |
Tool: Point Cloud from Grid(s)
| Features |
|---|
| • conversion of a raster to a point cloud (grid node to point) |
| • attachment of cell values of additional raster data sets as point attributes |
| Applications |
|---|
| • raster to point cloud conversion |
| • optional attachment of additional attributes from grid stack |
Tool: Point Cloud from Shapes
| Features |
|---|
| • conversion of a shapes layer (2D or 3D) to a point cloud |
| • optional attachment of shapes layer attributes |
| Applications |
|---|
| • format conversion |
Tool: Point Cloud from Table
| Features |
|---|
| • conversion of a table with x,y,z coordinates to a point cloud |
| • optional conversion of additional attributes |
| • table columns can be in any order |
| Applications |
|---|
| • conversion of tabular data to a point cloud |
Tool: Point Cloud to Grid
| Features |
|---|
| • conversion of a point cloud to a raster data set based on univariate statistics per grid cell |
| • binning of a user specified point cloud attribute, e.g., elevation, intensity |
| • supported aggregate functions: number of points (n), minimum, maximum, data range, sum, arithmetic mean, standard deviation, variance, coefficient of variation, median, percentile, skewness, trimmed mean, point with lowest/highest elevation, number of unique values |
| • filtering based on attribute value and/or elevation range, e.g., intensity above threshold, only ground points |
| • instead of binning per cell a search radius can be used, optional |
| Applications |
|---|
| • creation of raster data sets from point cloud data, e.g., DSM, intensity |
| • statistical measures, e.g., point density, median, standard deviation |
Tool: Point Cloud to Grid (Moving Planes)
| Features |
|---|
| • conversion of a point cloud to a raster data set based on moving planes |
| • plane fitting into the local point neighborhood by measuring the errors either vertically or orthogonally |
| • local neighborhood (2D) is defined by search radius or kNN |
| • the height of the plane at the grid node is assigned as cell value |
| • trimming of the z-distribution in the local neighborhood by percentiles, optional |
| • filtering based on attribute value range, optional |
| • output of plane fitting quality (standard deviation), optional |
| Applications |
|---|
| • creation of raster data sets from point cloud data, e.g., DEM from ground points |
| • standard deviation raster can be used for Level of Detection (LoD) computation in DEMs of Difference (DoD) analyses |
Tool: Point Cloud to Grid (TIN)
| Features |
|---|
| • conversion of a point cloud to a raster data set based on triangulation (linear interpolation) |
| • filtering based on attribute value range, e.g., classification, optional |
| • optional on-the-fly point cloud normalization based on the gridded attibute, e.g., elevation (height above ground), attached as new point cloud attribute |
| • optional on-the-fly point cloud classification based on a difference threshold to the TIN |
| • the distance to the TIN is measured either as minimum distance or along the plumb line |
| • tile-based processing of the point cloud dataset (reduction of computational requirement), optional |
| Applications |
|---|
| • creation of raster data sets from point cloud data, e.g., DEM from ground points |
| • gridding of user-defined attributes (linear interpolation) |
| • point cloud normalization |
| • point cloud classification |
Tool: Point Cloud to Shapes
| Features |
|---|
| • conversion of a point cloud to a point shapes layer |
| Applications |
|---|
| • format conversion |
Tool: TIN to Spaced Point Cloud
| Features |
|---|
| • interpolation of a point cloud at regular intervals from a TIN provided as 3D polygon shapes layer |
| • spatial reference and point spacing of the point cloud are either derived from a user defined spacing and the extent of the TIN or a grid data set |
| • attachment of an additional attribute from the shapes layer to the point cloud, optional |
| Applications |
|---|
| • creation of a point cloud with regular spacing from a TIN data set |
| • exact alignment of data set to an existing grid for later conversion to raster |