Remote Sensing in Biodiversity and Conservation

project work in the Steigerwald

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

Within this course EAGLE students are exposed to different disciplines and interdisciplinary research.In collaboration with biologists and conservationists new and established approached are discussed and explored by the students in order to define the research goal. The practical analysis is conducted by the students and presented with the collaborators being present.

Content

The students will be introduced to interdisciplinary research and the relevance of clear communication, deliverables and milestones. In a second step they will be linked to different collaborators from other fields and will have the task to define work packages that are feasible within the course time-frame. The actual data analysis will be done as well but the primary goal is not the data analysis but the communication with the other disciplines and being able to provide relevant spatio-temporal information for such a test interdisciplinary project.

 

Discussions

learning how other disciplines collect field data, what their properties are, what their research questions are

Planning

learning how to plan an interdisciplinary project

Coding

learn how to apply coding for your specific research question

Present

present your research findings to the collaborators

General Course News and Updates

EAGLE M.Sc. thesis in the Arctic

EAGLE M.Sc. thesis in the Arctic

Our EAGLE student Ronja Seitz is conducting her field work for her Master thesis in the Arctic, on Svalbard. She started collecting her data in June to build up a timeseries with UAS multispectral data to investigate disturbances like rain on snow (ROS) events and...

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Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

Master Defense: Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria

On September 18, Sarah Schneider will present her master thesis "Comparing the suitability of remote sensing and wildlife camera time series for deriving phenological metrics of understory vegetation in temperate forests of Upper Franconia, Bavaria" at 14:00 in...

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