Tag: forest
MSc by Andrea Hess on deforestation drivers in Myanmar handed in
Apr 7, 2016 | Biodiversity, Conservation, News, Students
The MSc by Andrea Hess “Deforestation in Myanmar – what can we say about...
Read MoreVisiting PhD candidate from India
Sep 9, 2015 | Biodiversity, Forestry, News, PhD thesis, Students, training
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...
Read Morenew article: forest mapping in South-East Asia
Dec 18, 2014 | Biodiversity, Conservation, News, publication
our new article “Mapping threatened dry deciduousdipterocarpforest in South-east Asia for conservation management” by Christian Wohlfart, Martin Wegmann and Peter Leimgruber got just published. This article was a...
Read MoreUniversity of Würzburg is a member of initiative “Data Pool of Bavarian Forest”
Apr 27, 2015 | Forestry, News, project, Uncategorized
The Dept. of remote sensing of the University of Würzburg will contribute to the recently-initiated platform of “Data Pool of Bavarian Forest”. The Bavarian Forest National Park (BFNP) is the first national park in...
Read MoreInternship at Bavarian Forest National Park
Jul 21, 2015 | Biodiversity, BSc, BSc thesis, Conservation, Forestry, MSc, MSc thesis, News, Students, training
The Department of Conservation and Research of the Bavarian Forest National Park (BFNP) is seeking highly motivated B.Sc and M.Sc students for internships starting in September 2015. The BFNP is located at the German/Czech...
Read MoreLASmoons license granted for a M.Sc candidate
Aug 20, 2015 | Forestry, MSc thesis, News, Students
Recently, the M.Sc student Bastian Schumann applied for a 3-month sull license of LAStools to be applied in the course of his M.Sc thesis “Explaining over- and understory canopy coved by leaf-off and leaf-on LiDAR...
Read MoreImpressions from 5th joint biometry workshop in Würzburg
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...
Read MoreNew RapidEye datasets granted from RESA platform of DLR/Black Bridge
Oct 21, 2015 | Biodiversity, Forestry, News, PhD thesis, Phenology, Students
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...
Read MoreMSc thesis handed in on Analysis of Airborne LiDAR Data for Deriving Terrain and Surface Models
May 9, 2016 | Forestry, MSc thesis, Students
A M.Sc thesis by Raja Ram Aryal at the University of Applied Sciences Stuttgart was recently written under the supervision of Dr. Hooman Latifi and Prof. Michael Hahn. The thesis focused on a comparative study on the...
Read MoreTopic for M.Sc thesis: Application of multi-seasonal RapidEye satellite imagery for inventory of private and municipal forests in the northern Black Forest
In this M.Sc thesis, a set of multi-seasonal satellite imagery from RapidEye will be applied to develop algorithms and improve the existing ones in tree species mapping across a portion of mixed forest stands in northern Black...
Read MoreInvited talk @ ForBioSensing conference
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...
Read MorePhD position: forest structure (application closed)
PhD: Monitoring the structural parameters of forest habitats by multi-source/multi-temporal remote sensing data The Department of Remote Sensing at the institute of Geography and Geology invites applications for a PhD...
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news blog by
the Earth Observation Research cluster
EORC
at the University of Würzburg
Institute of Geography and Geology
John Skilton Str 4a
97074 Würzburg