Remote Sensing in Biodiversity and Conservation

project work in the Steigerwald

Lecturer

Martin Wegmann

ECTS

5 ECTS

 

Aim

Within this course different options for continuous data acquisition for biodiversity research and conservation using remote sensing are covered. New and established methods and data sets are introduced and student can explore them on their own. The whole course will take place in the Nationalpark Bavarian Forest or the Steigerwald.

Content

Different field sampling strategies will be practically experienced such as LCCS, hemispherical measurements or LAI, as well as existing zoological and botanical data sets explored and linked to remote sensing data sets. Especially LiDAR and hyperspectral data sets, beside multispectral remote sensing data are used to explain the spatial patterns of the biodiversity data. Students will need to develop their own research plan including questions and hypothesis and have to present it on the last day of the course. The course covers several consecutive days in the study area where all remote sensing data analysis, statistical modeling and field work need to be achieved. This courses requires a sounds knowledge of programming and modeling which are covered by previous courses. The course will be tightly linked to a parallel course for biologists and joint projects as well as interdisciplinary discussions and challenges are envisioned.

 

Field Work

learning how to collect field data

Planning

learning how to plan field work.

Coding

learn how to apply coding for your specific research question

Present

present your research findings to your fellow students

General Course News and Updates

Our EAGLEs featured on the University page

Our EAGLEs featured on the University page

Our EAGLEs Sofia, Annika, Antonio, Andreas and Nils are featured on the University webpage with their UrbanSens idea of combining mobile IoT sensors and Earth Observation data for urban climate monitoring. Their success winning the DLR Copernicus challenge rewarded...

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MSc defense by Yomna Eid

MSc defense by Yomna Eid

Yomna will present her M.Sc. thesis "Assessment of ESA CCI+ and NASA MODIS-LST in Ecological Transects of Australia" on January 14th 2022 at 10am. From the abstract: "Identifying the best-performing MODIS LST products available for scientific analysis is instrumental...

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MSc defense by Marius Witt

MSc defense by Marius Witt

Marius Witt will present his M.Sc. thesis "Investigating discharge dynamics at catchment level usingremote sensing timeseries" on Friday 14th of January 2022 at 9am. From the abstract: The anthropogenic induced climate change is one of the foremost challenges of the...

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Great dashboard by our EAGLE students

Great dashboard by our EAGLE students

our EAGLE students created various informative remote sensing and spatial environmental data dashboards and learned a lot how to communicate their Earth Observation research in an interactive online platform. One example by our student Ronald Okoth is shown below and...

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MSc defense by Christabel Ansah

MSc defense by Christabel Ansah

Christabel will present her M.Sc. thesis "ASSESSING THE ENVIRONMENTAL IMPACT OF OIL SPILLS IN THE NIGER DELTA, NIGERIA" on Monday 20th of December at 10am. From the abstract: "The Niger Delta region of Nigeria has been battling with an unprecedented number of oil...

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MSc defense Diego Alarcon

MSc defense Diego Alarcon

Diego will present his M.Sc. thesis "Exploring the potential of remote sensing using machine learning to predict yields for table grape farms in Chile" on Friday, 10th of December at 9am. From the abstract: Table grape is among Chile most important crops, the country...

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