Remote Sensing in Biodiversity and Conservation Science
project work in the Steigerwald
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.
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.
learning how to collect field data
learning how to plan field work.
learn how to apply coding for your specific research question
present your research findings to your fellow students
General Course News and Updates
Marcus Groll handed in his M.Sc. thesis "Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War " and will defend it next week. Abstract: During the Second World War (WWII) many air strikes were flown on German...read more
We congratulate Maninder who successfully defended his M.Sc. thesis “Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany” supervised by Martin Wegmann and Christopher Conrad.read more
Maninder Singh Dhillon handed in his M.Sc. "Comparing the performance of crop growth models using synthetic remote sensing data at DEMMIN, Germany" supervised by Thorsten Dahms with the first and second supervisors Martin Wegmann and Christopher Conrad, respectively....read more
Our EAGLEs in 2018 visited the German Aerospace Center, namely the Earth Observation Center, close to Munich. Various topics were presented by DLR scientist and the EAGLEs hat the chance to discuss various topics in small groups with individual scientists.read more
on Thursday, December 13th, at 12:30 we will have the following presentations in the student working room (Josef Martin Weg 52, 3rd floor): internship presentations: Johni Miah"Remote Sensing and Geographic Information System for Decision...read more
Web presence of you new EAGLE students is online. Our new 2018 EAGLE students created their own webspace in order to present the group and each student individually. Have a look who started EAGLE this year, read about their background and interests - and especially...read more
Congratulation to Jakob Schwalb-Willmann who successfully graduated today! His M.Sc. topic was "A deep learning movement prediction framework for identifying anomalies in animal-environment interactions" aiming to explore the potential of animal movement...read more
Our new EAGLEs arrived! We welcomed our new international EAGLE students from the US, Ecuador, Bangladesh, Ruanda or Germany for the upcoming winter term and introduced the lectures as well as the courses. In the evening we had a joint dinner to get to...read more
On Monday, 24th of September from 1:30 onwards the following EAGLE students will present their M.Sc. idea. Everybody is welcome to join their presentations and to provide feedback: Julia: "Time-Series Analysis of Sentinel-1 and Sentinel-2...read more
On Monday, 24th of September, at 1pm the following internship reports will be presented: Bharath: "Installation and Characterization of an imaging Spectrometer for the UAV-based remote sensing" Johannes: "Crop classification based on S1/S2 in...read more