LIS Pro 3D is made up of ten tool libraries providing a comprehensive set of more than 100 tools for point cloud and geospatial data visualization, processing and analysis. Inspect your data in 3D or enrich it with derived information. Applications include profile extraction, smart point cloud thinning, DTM / DSM / nDSM creation, colorization and gridding of point clouds, and difference and volume calculations.
This package extends SAGA's comprehensive import and export functionality by adding additional point cloud and vector data formats.
This package provides general tools for grid and point cloud processing, including transformation, attribute management, clipping, and subset extraction based on attribute values.
This package contains tools for grid and point cloud arithmetics, including point cloud attribute calculations, height normalization, multitemporal change detection, and corridor mapping (vegetation encroachment).
This package contains tools for point cloud thinning, including 2D and 3D blockthinning, TIN based thinning, thinning based on surface roughness, and tools providing thinning options for virtual point cloud datasets (massive data).
This package contains tools to query, inspect and plot transects from point clouds, grids and shapefiles.
This package contains tools for outlier removal from points clouds, point cloud classification based on grid surfaces, morphological filtering of grid data sets (e.g., DTM generation), and majority filtering of point clouds (e.g., of classification results).
This package contains tools for various spatial data type conversions like point cloud to raster tools (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.
This package contains tools for virtual point cloud data sets (an XML-based description of a mosaic of point clouds allowing seamless data access), including tools for spatial subset extraction (clipping), retiling, gridding and thinning. Virtual point cloud data sets can be used both for data dissemination and processing of mass data.
This package contains tools for color processing like the colorization of point clouds by orthoimages or color space conversions (RGB to HSV and vice versa).