About
Hooman Latifi is an assistant professor at the Dept. of remote sensing of the University of Würzburg. He is also the representative of the working group “Ecology and Environment” of the German region of the International Biometric Society (IBS-DR). His research interests are mainly applied spatial analysis of forest entities (Structure, biodiversity and forest health indicators) by means of airborne (in particular LiDAR) remote sensing. In addition to his research activities, he has been involved in numerous internal and external teaching events on LiDAR remote sensing, open-source image processing software and remote sensing-assisted of forest and environmental management.
Courses
News and Updates
please look here for updates on research and projects:
http://remote-sensing.eu/author/hooman-latifi
University of Wuerzburg
Dept. of Remote Sensing
email: hooman.latifi@uni-wuerzburg.de
phone: +49 (0)931 31 89638
Recent News
Winter term about to start
The winter term is about to start. The official start of the next semester is Monday 17th. The official EAGLE welcome will be on Monday as well followed by a joint dinner before the courses start on Tuesday. Further details on course dates and locations will be posted...
applications for 2016
The application deadline for the winter term 2016 was last Friday and we are now working through the numerous application. We are happy to have received a very high number of applications from all around the world and will get back to the applicants as soon as...
application opened for winter term 2016
The application is opened to apply for the EAGLE M.Sc. program starting this winter term 2016. The application deadline is July 15th 2016 (23:59, CEST). Please feel free to contact us beforehand to discuss open questions but please check our FAQ first. EAGLE is...
MSc opportunities: remote sensing in ecology and conservation
Biodiversity analysis and conservation decision relies on adequate and meaningful data that are available on a long-term and global basis. Such environmental information need adequate spatial and temporal resolution and remote sensing data does provide a wide range...