In a recently-published paper in Forestry featuring Hooman Latifi, Steven Hill and Stefan Dech from the Dept. of Remote Sensing, further advancements have been reported in developing unbiased statistical models for area-based estimation of forest understorey layers using LiDAR point cloud information. The study leveraged an original high-density LiDAR point cloud, which was further processed… Read More


A new publication recently appeared by Forestry opens some new outlook in leveraging airborne LiDAR derivatives for monitoring the vertical structure of temperate mixed forest stands. Led by Dr. Hooman Latifi from University of Würzburg, the study focuses on associating aerially-mapped habitat characteristics with 3D metrics extracted from fullwave LiDAR data to model canopy density… Read More


Example of LiDAR flight strips over the entire Bavarian Forest National Park

Recently, the M.Sc student Bastian Schumann applied for a 3-month sull license of LAStools to be applied in the course of his M.Sc thesis “Explaining over- and understory canopy coved by leaf-off and leaf-on LiDAR data”. LAStools consists of highly efficient, batch-scriptable, multicore command line tools to classify, tile, convert, filter, raster, triangulate, contour, clip,… Read More