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
Ahmed Saadallah successfully defended his thesis
We congratulate Ahmed for his great M.Sc. presentation and the whole audience for the very lively discussions on methods and implications plus historical reasons of the detected patterns. Another EAGLE M.Sc. students graduated and is now an Earth Observation...
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check out the news blog by our students
Our EAGLE students are posting various news about their activities, experiences or codes they developed. Read about their past years within the EAGLE program, their participation in international remote sensing conferences or what they achieved within EAGLE courses....
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M.Sc. thesis presentation by Ahmed Saadallah
Ahmed Saadallah will defend his M.Sc. thesis "The Potential of Earth Observation for Monitoring Agricultural Lands in Egypt (1984-2017)" on Wednesday 10th of April at 2pm in the student working room JMW 52. The need for accurate and timely information on the extent...
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Sarah Nolting defended her M.Sc.
Congratulation to Sarah Nolting for successfully defending her M.Sc. thesis! Another interesting EAGLE M.Sc. thesis presented on flood risks and populations in urban environments.
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Congratulation to Johannes Loew for a successful M.Sc. defense
We congratulate Johannes Löw to a great M.Sc. defense within the EAGLE colloquium! Another great remote sensing M.Sc. thesis has been defended within the EAGLE program.
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Congratulations to Pilar for a successful MSc graduation
Pilar Endara Pinillos succssfully defended her M.Sc. thesis within the EAGLE colloquium. Congratulations to Pilar!
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M.Sc. defense of Sarah Nolting
Sarah Nolting will defend her M.Sc. thesis "Risk Assessment for Flood Events based on Geo- and Socioeconomic Data – A Case Study for North-Rhine Westphalia, Germany" on Wednesday 27th 2pm in room 0.004 OKW 86. from her abstract: "The world’s population has doubled...
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M.Sc. defense by Johannes Löw
You are all invited to join the M.Sc. presentation by Johannes Löw. He will defend his M.Sc. thesis on Wednesday 20th of March at 2pm in room 0.004 in OKW 86. from his abstract:Since Sentinel-1 A and B have become fully operational, it is now possible to generate...
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Pilar Endara Pinillos handed in her M.Sc. thesis
Pilar Endara Pinillos handed in her M.Sc. thesis "Flooding patterns and vegetation developments in the Orinoco flooded savannas of Colombia." Her M.Sc. defense will be on Wednesday 13th at 2pm in room 0.004 (OKW 86). The ecosystems that are present within Colombian...
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Marcus Groll successfully defended his M.Sc. thesis
we congratulate Marcus Groll for his successful defense of this M.Sc. presentation “Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War ”. He has only a few days off before starting his new job as image data...
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