M.Sc thesis (+ a two-month internship): Agent-based modeling to understand Mediterranean wetland (former saltworks) dynamic based on multiple remote sensing data   The Camargue’s former saltworks is a 6500-ha site located at the Mediterranean coast in southern France. The site has been recently purchased by the Conservatoire du Littoral, a public organization created in 1975… 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


D. Hooman Latifi from the Dept. of Remote Sensing was invited by the Dept. of Geography at the Universé d’angers for a 2-week block course on forestry applications of LiDAR data. The course was consisted of lectures and practical examples within a two-week intensive campus-based teaching started from February 1st, 2016. The topic focused on… 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

our new article “Will remote sensing shape the next generation of species distribution models?” in Remote Sensing in Ecology and Conservation is now online. Two prominent limitations of species distribution models (SDMs) are spatial biases in existing occurrence data and a lack of spatially explicit predictor variables to fully capture habitat characteristics of species. Can… 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