Application is now open for those interested in participating in the training course funded by the European Facility for Airborne Research (EUFAR) through EU’s 7th Framework Programme will be held at the Bavarian Forest National Park and DLR from 3th to 14th of July 2017. In this training course, the special skills required for processing… Read More

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

Wall-to-wall predictions of understory canopy cover usign high density point cloud, habitat types and a logistic model

A M.Sc thesis was written by Bastian Schumann under the supervision of Dr. Hooman Latifi and Prof. Christopher Conrad that focused on a LiDAR-based approach to combine structural metrics and forest habitat informaiton for causal and predictive models of understory canopy cover. The data base used consisted of a bi-temporal LiDAR dataset as well as… Read More

On the basis of lidar the distribution of single living and death can be mapped for the national park (a figure from the publication)

A new paper was published in Forstliche Forschungsberichte München   poublished by TU München which summarizes a series of studies leading to the first forest inventory based completely on processing LiDAR and aerial imagery data in Bavarian Forest National Park in Germany. The main focus is on deriving biometric forest structural variables by single tree-… 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


The Department of Conservation and Research of the Bavarian Forest National Park (BFNP) is seeking highly motivated B.Sc and M.Sc students for internships starting in September 2015. The BFNP is located at the German/Czech border in eastern part of the state of Bavaria, and is home to a portion of most spectacular mixed temperate forest… Read More