Remote Sensing in Biodiversity and Conservation Science

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

MSc thesis defense by Patrick Sogno

MSc thesis defense by Patrick Sogno

On Monday, 25th of January at 10 a.m., Patrick Sogno will present his M.Sc. thesis "Earth Observation for Exposome Mapping – Proof of Concept and Case Study in Augsburg, Germany". from the abstract: "Non-communicable diseases – NCDs – (asthma, cancer, or diabetes, for...

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internship, inno lab and MSc idea

internship, inno lab and MSc idea

On Monday 21st of December at 10am we will have the following presentations:   Camilo (Internship)"Forest cover change between 2000 and 2020 in El Chaco ecoregion, Paraguay" at DLR Johannes Mast (Thesis Idea):"Measuring Urban Polycentricity using Remote Sensing"...

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MSc defense by Aiga Taghavi

MSc defense by Aiga Taghavi

Aida Taghavi will present her M.Sc. thesis "Potentials of Cosmic-Ray Neutron Probes for Assessing and Mapping SAR-based Soil Moisture in a Mediterranean agro-forestry ecosystem" on Dec. 15th at 1pm. From her abstract: "Accurate near-surface soil moisture (~ 5cm,...

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MSc defense by Pawel Kluter

MSc defense by Pawel Kluter

Pawel Kluter will present his M.Sc. thesis on Friday 30th of Oct. at 10 am with the title "Deep Learning Approach to Ship Detection and Classification Using Synthetic Aperture Radar Data". From his abstract: "With over 92,000 large commercial vessels at sea,...

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