A recent paper published by Forestry and featuring Dr. Hooman Latifi from Dept. of Remote Sensing presents novel results of estimating most relevant forest inventory attributes from very high resolution stereoscopic satellite imagery.  The paper couples a systematic review of the state-of-the-art in photogrammetry-basad forest attribute estimation, a case study in southwestern Germany and an… Read More


The M.Sc thesis by Marius Röder (Hochschule für Technik Stuttgart) was handed in. The thesis was supervised by Dr. Hooman Latifi and Prof. Eberhard Gülch and focuses on monitoring post-disturbed and heterogenuous forest sites by cost-effective methods from Unmaned Aerial Vehicle (UAV) domain. The advantage of normalized digital surface models extracted from UAV dta was… Read More


Application is now open for those interested in participating in the training course funded by the European Facility for Airborne Research (EUFAR) through EU’s 7th Framework Programme will be held at the Bavarian Forest National Park and DLR from 3th to 14th of July 2017. In this training course, the special skills required for processing… Read More


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


A new published work featuring Hooman Latifi from Dept. of Remote Sensing and Siddhartha Khare from Indian Institute of Technology Roorkee presents a full remote sensing-based approach to assess the vegetation diversity across the areas affected and invaded by Lantana camara, an invasive plant species. The study comprises two main steps  utilizing  multi-source satellite earth… 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


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Dr. Hooman Latifi from the Dept. of Remote Sensing held an invited speech on “Remote sensing-assisted mapping of bark beetle-induced tree mortality” at the first conference on comprehensive monitoring of stand dynamics in Białowieża forest supported by remote sensing (ForBioSensing) in Białowieża, Poland, from November 30th to December 2nd, 2016. The conference also hosted different… Read More


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