Author: Martin Wegmann

Spectral Unmixing Functionality in RStoolbox

Please find below a blog post by one of our EAGLE M.Sc. students, Jakob Schwalb-Willmann, about his implementation of spectral unmixing into the RStoolbox R package, developed at our department by Benjamin Leutner:   “Recently, in January, I finished the development of the first version of a spectral unmixing function being part of RStoolbox, an R package offering numerous tools for remote sensing analysis written by Benjamin Leutner. The multiple endmember spectral mixture analysis (mesma) function makes it possible to unmix multi- and hyper-spectral imagery by sets of spectral endmember profiles. For this, a non-negative least squares (NNLS) solver...

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PhD position: Animal Movement for Remote Sensing

PhD position animal movement and remote sensing – exploring innovative in-situ data This research project focuses on the analysis of animal movement tracks for deriving new, innovative remote sensing products. Novel methods or a new combination of established methods from movement ecology, remote sensing and machine learning should be combined in order to model relationships between behavior and the environment with the eventual aim of mapping environmental characteristics. Target entities are to be developed, but could encompass mapping land cover, land cover change or validating existing data sets, all based on movement and behavioral patterns. Once established, such information...

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Apply to our international Earth Observation M.Sc. program EAGLE

The deadline to apply to be part of our great EAGLE M.Sc. program is approaching. All applications before May 15th are considered. We are very much looking forward again to a great selection of motivated and skillful EAGLE students starting in October this year. Apply today at EAGLE is an international English language M.Sc. program offered at the University of Würzburg, Germany. It is focusing on Applied Earth Observation and Geoanalysis for the environment. The goal of EAGLE is to strengthen the practical use of applied Earth Observation in research, planning, and decision making, and to unlock the...

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chapter on GIS-Based Data Synthesis and Visualization published

Our chapter in the book “Ecological Informatics – Data Management and Knowledge Discovery” is finally published. The chapter “GIS-Based Data Synthesis and Visualization” lead by Duccio Rocchini deals with visualizing spatial uncertainty in species distribution based on cartograms, as well as fuzzy methods to synthesize species distribution uncertainty. Remote sensing data analysis and measuring ecological diversity from space are covered as well. Examples using the free and open source software GRASS GIS and R are provided. read more: Duccio Rocchini, Carol X. Garzon-Lopez, A. Marcia Barbosa, Luca Delucchi, Jonathan E. Olandi, Matteo Marcantonio, Lucy Bastin, Martin Wegmann (2019) GIS-Based...

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course on Forest Ecology and Remote Sensing in the Bavarian Forest National Park

The Bavarian Forest and the Bohemian Forest together form the largest contiguous forest area in central Europe, which is of an extraordinary importance for the protection and maintenance of biological diversity. Since 1970, a large area of the forest is protected as a National Park, in which “nature can be nature”. Bark beetle outbreaks control large forest areas, lynx and wolves roam the forest, and carrion beetles consume the remains of dead vertebrates. Therefore, the national park it is one of the few places, where scientist can study natural processes and their impacts. The national park was also the...

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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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