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


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A special issue “Remote Sensing-assisted inventory of forest attributes” edited by Dr. Hooman Latifi (University of Würzburg) and Prof. Dr. Barbara Koch (University of Freiburg) was recently announced by the journal Photogrammetrie-Fernerkundung-Geoinformation (PFG). The PFG is the official international journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (Impact Factor: 0.733). This special issue… Read More


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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


Steven Hill

We wellcome Steven Hill who has just started working as a PhD candidate at the Dept. of Remote Sensing since October 2015. After the successful completion of his M.Sc thesis on “Predicting the Forest Development after Natural Disturbance using Airborne LiDAR”, he will  will now more profoundly deal with topics such as multi-temporal 3D data processing,forest… Read More


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The Dept. of Remote Sensing recently applied for a time series of 12 RapidEye scenes to support a PhD thesis by Siddhartha Khare (Indian Institute of Technology Roorkee, India). The proposal is now accepted, and th PhD work will be supported by a dense time series of RapidEye scenes acquired in 2013 over dry forests… Read More


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Dept. of Remote Sensing recently hosted the 5th joint workshop of the working groups “Ecology and Environment“, “Bayes Methods” and “Spatial Statistics” of the German Region of the International Biometric Society and the Forest Biometrics unit of the German Association of Forest Research Stations (DVFFA), which was held in Z6 building of Hubland Campus from… Read More


Siddhartha Khare

Siddhartha Khare from India is recently visiting the Department of Remote Sensing in University of Würzburg. He is pursuing his Ph.D.in Geomatics Engineering Group of Indian Institute of Technology Roorkee. He arrived in Wurzburg on 1st of September 2015 to carry out a part of his Ph.D. work until end of November 2015. The objective… Read More


Spatial prediction of first tree and herbal layers by selected LiDAR-assisted regression models

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