Author: Dept. of Remote Sensing

PhD defense by Kim Knauer and Christian Wohlfart

On Wednesday, April 4th 2018, we will have two PhD defenses by Kim Knauer on ““Remote Sensing of Vegetation Dynamics in West Africa: Improved Time Series for Agricultural Analyses” and Christian Wohlfart “The Yellow River Basin in Transition: Multi-faceted Land Cover Change Analysis in the Yellow River Basin in the Context of Global Change Using Multi-sensor Remote Sensing Imagery”.  All interested students and colleagues are invited to join these two PhD defenses in the Institute of Geography and Geology, University Würzburg, Campus South, HS 222.  ...

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New publication: Synthetic RapidEye data used for detecting spruce tree mortality induced by bark beetles

The article “Synthetic RapidEye data used for the detection of area-based spruce tree mortality induced by bark beetles” lead by our former colleague Dr. Hooman Latifi deals with fusing RapidEye and MODIS data to derive dense NDVI time series to detect spruce tree mortality caused by bark beetle infections in the Bavarian Forest National Park. Following a phenology-based approach, we found that spectral information after the peak of the growing season (here 2011) can be used to recognize infestation in the subsequent year (2012). Funded by a research grant of the Faculty of Philosophy, University of Würzburg, two students...

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new guest scientist Chiara Paniccia

Chiara Paniccia, a PhD student from University of Molise, is visiting our department from April to August. Chiara is a mammalogist and ecologist, with main interests in conservation biology, spatial ecology, and community ecology. She obtained a Master’s Degree in Natural Sciences at ‘Sapienza’ University of Rome in 2014 with a thesis on the effect of forest management practices on arboreal rodent populations in the Central Apennines. Currently, she is a Ph.D. student at University of Molise, Italy. Her Ph.D. project aims to investigate how ecological patterns and animal communities are modified by human activities or respond to land-cover...

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Spatial Python course within the EAGLE M.Sc. program

Last week Steven Hill and Thorsten Dahms gave a course that introduced EAGLE students to Python-based spatial data analysis. The advantages and challenges of different python libraries, data sets and methods were covered in hands-on exercises and also discussed critically with the students. Steven and Thorsten greatly appreciated the discussions with EAGLE students about the similarities and differences between Python and R. In addition to the informative lectures and presentations of the students, the practical application of remote sensing data in Python was also part of this course. The course covered everything from the basic introduction to Python to...

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Remote Sensing block courses – winter 2018

In the past few weeks various block courses by colleagues from DLR and the Department of Remote Sensing have taken place. Divers topics how remote sensing can be used, which methods have to be applied and how to put it into practice were covered by our colleagues Hannes Taubenböck, Martin Bachmann and Andreas Dietz. Another block course will focus on python programming for spatial data analysis and later in April object oriented classifications and advanced spatial analysis for geoscientists will be offered as block course before the actual summer term starts again with the regular...

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news blog by

the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg

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