GRASS GIS loves lidar
Lidar and UAV measurements produce huge point clouds which cannot be handled by classic GIS tools. Not true! New GRASS GIS version offers several tools which are specifically designed for processing of lidar data and point clouds in general.
Lidar devices and structure from motion (SfM) processing of UAV imagery are generating large and dense points clouds which are hard to handle as classic GIS vectors. Fortunately, GRASS GIS, a powerful desktop and backend GIS, has a selection of tools which can handle this kind of data. For example, various point cloud decimations are useful as a pre-processing step before interpolation. However, the most significant group of provided analyses uses 2D and 3D binning for highly efficient digital terrain model creation and also for various vegetation and surface analyses. Additionally, we will explore old and new ground classification techniques in GRASS GIS and which analyses PDAL has to offer in connection with GRASS GIS.
In this talk we will also look at point clouds from small scanners, namely Kinect, and how these can be processed in GRASS GIS in combination with PCL to couple digital elevation models with scaled physical models.
The tools available in GRASS GIS can be used through a graphical user interface or in Bash and Python scripts which can accommodate individual user workflows as well as specific developer needs. We will see how these relate and how to take advantage of all of them.