Earth Observation in Biodiversity Research

04-GEO-ENV7

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

🗺 Exploring Map Visualizations

🗺 Exploring Map Visualizations

Within our EAGLE courses our students have to learn a wide variety of skills - beside the fundamental earth observation theory and practice also skills like map creation is part of the curriculum. One of our students Ronja Seitz has created three visualizations guides...

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Course on Object-based image analysis

Course on Object-based image analysis

Dr. Michael Wurm from the German Aerospace Center (DLR) gave a class about Object-based image analysis (OBIA) using the eCognition Software for the EAGLE students. The course gives an insight into the theoretical basis of OBIA and using different datasets and tasks...

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