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

new QGIS plugin and R package

new QGIS plugin and R package

our EAGLE student Konstantin Müller created a QGIS plugin and a corresponding R package for easy point density vizualisation. Create way to learn how to build QGIS plugins and R package for spatial analysis. QGIS plugin: The Bestagon QGIS plugin allows easy density...

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MSc defense by Joy Giovanni Matabishi

MSc defense by Joy Giovanni Matabishi

On Tuesday, October 31, 2023 at 12 a.m Joy-Giovanni Matabishi will present his Msc Thesis “Modelling Bat Distribution and Diversity with Artificial light as a Focal Predictor in South Tyrol” in the seminar room 3 in John-Skilton-Str. 4a/ground floor. Modelling Bat...

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MSc defense by Vanessa Rittlinger

MSc defense by Vanessa Rittlinger

On Tuesday, October 24, 2023 at 12:00 a.m. Vanessa Rittllinger will present her master thesis on “Detection of landslides in space and time using optical remote sensing data – A case study in South Tyrol” in seminar room 3 in John-Skilton-Str. 4a/ground floor From the...

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MSc defense by Moritz Rösch

MSc defense by Moritz Rösch

On Tuesday, November 27 at 12:00 a.m., 2023 Moritz Rösch will present his MSc defense “Daily spread prediction of European wildfires based on historical burned area time series from Earth observation data using spatio-temporal graph neural networks” in the seminar...

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Internship Report

Internship Report

On Tuesday, December 12, 2023 at 12:00 a.m. Sunniva McKeever, Maximilian Merzdorf, and Isabella Metz will present their internship report on their internship at the Kruger National Park, South Africa in seminar room 3 in John-Skilton-Str. 4a/ground floor Subject: "Our...

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Internship Report by Christobal Tobbin

Internship Report by Christobal Tobbin

On Tuesday, November 28, 2023 at 13:00 Christobal Tobbin will present his internship report on his internship at DLR  “The CONCERT Project” in seminar room 3 in John-Skilton-Str. 4a/ground floor. From the abstract: The CONCERT project with the Agriculture and...

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Successful MSc defense by Giovanni Matabishi

Successful MSc defense by Giovanni Matabishi

Giovanni presented his MSc thesis “Modelling Bat Distribution and Diversity with Artificial light as a Focal Predictor in South Tyrol” today within our EAGLE colloquium and passed successfully. He presented very interesting approaches of remote sensing for modelling...

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