pfg0615

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: 0.55). This special issue… Read More


Stereo Pair Images and Multi-temporal multi spectral data of SPOT 6/7 (1.5 m spatial resolution)

Via an official proposal submitted to the ESA,  multispectral and stereo panchromatic SPOT 6/7 and Pleiades scenes were achieved over a portion of dry deciduous western Hymalayan region of India. The data delivery include three  multispectral  SPOT 6, two multispectral SPOT 7, two multispectral Pleiades, two stereo panchromatic SPOT 6 and one stereo panchromatic SPOT… Read More


fowita

In framework of activities of the working group “Ecology and Environment” of the German Region of the International Biometric Society, this working group joined the forest biometry section of the German Association of Forest Research Institutes (DVFFA) to organize the session “Aktuelle Entwicklungen bei Datenerfassung, Auswertung und Modellierung in der Forstwissenschaft” during the FoWiTa conference… 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


20160208_103126

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


resa_india

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


DSC00109

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