Worldmap displaying where the 101 selected studies have been conducted throughout the world (red dots).

A new review paper featuring Dr. Hooman Latifi as the second author has been recently published by Remote Sensing of Environment. The paper is a product of more than 1 year intensive teamwork of a group of well-known international scholars, and focuses on a meta analysis of reviewed studies on tree species classification by means… Read More


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


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


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