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
Planning
Coding
Present
General Course News and Updates
Internship and Inno Lab Presentations
On Tuesday, 31st of January at 13 p.m. we will have the following presentations: Moritz Roesch: Spectral compositing for mapping bare soil areas and soil organic carbon estimation in Germany - Internship at RSS GmbH Lallu Nikerthil Prathapan: Landuse/ building type...
MSc defense by Luisa Wagner
On Tuesday 17th of January at 12pm Luisa will present her M.Sc. thesis "Analysis of ice shelf front dynamics in Pine Island Bay (Antarctica) based on long-term SAR time series and deep learning". from the abstract: "Ice shelves, the floating extensions of glaciers and...
MSc defense by Jana Maier
On Tuesday 10th of January at 2:30 pm Jana will defend her M.Sc. thesis "Anticipating a Risky Future – Deep Neural Networks for Predictive Exposure Modeling". From the abstract: "Anticipating future geospatial population distribution is essential for numerous...
MSc defense and Inno-Lab presentations
On Tuesday 20th of December at 12am we will have various presentations MSc defense by Kevin Yomi on "Evaluation wildfire activity in conflict-affected areas using earth observation and panel regression models: a case study of Borno State, Nigera, from 2003-2020" In...
EAGLEs visit DLR EOC
After a long break due to covid we resumed the EAGLE visit of DLR EOC. Many EAGLEs from the current generation and quite some of the past (covid) generations joined this event and listened to many talks by DLR researchers. Some of the presenters were even former...
Social event in the boulder gym
Last week we spend a few hours in the boulder hall to enjoy a day without courses, do some climbing and have plenty of time to chat. Many EAGLEs from the current and old generations joint us as well as many lecturer. Beside the social event we also collected Lidar...
MSc defense Caroline Busse
On Tuesday 22nd of November at 1pm we will have the MSc thesis defense by Caroline on "Change Detection using Sentinel-1 and Sentinel-2 Time Series: A Comparison of Models for the Detection of Forest Disturbances." from the abstract: "Forests provide essential...
internship, innoLab and MSc idea presentations
On Tuesday 22nd of November at 12am we will have the following presentations: Dilara Kim: „Automated glacier snowline mapping from multi-sensor satellite observation“, InnoLab, EURAC Research, Supervisor: Dr. Martina Barandun Walid Ghariani: „PM2.5 Prediction Using...
New EAGLE Earth Observation professors
We are very happy to welcome two new professors within the EAGLE M.Sc. program! Prof. Dr. Hannes Taubenböck and Prof. Dr. Tobias Ullmann will strengthen the urban remote sensing and radar earth observation within the EAGLE program. Various new courses are already...
MSc defense by Larissa Gorzawski
On Wednesday 5th of October at 2pm Larissa will present her M.Sc. thesis "Deep transfer learning on street-level imagery for classification of seismic building types in Lima, Peru". From the abstract: "Comprehensive exposure models for seismic risk assessment require...