Spatial Modeling and Prediction
Within this course different methods to analyse point pattern statistically and conduct a spatial prediction are covered. Students will learn how to design such analysis, how to avoid caveats, troubleshoot errors and interpret the results.
Different statistical methods will be applied for analysing spatial point patterns, such as vegetation samples or biodiversity related information. These results will be statistically predicted using methods such as GLM, GAM, Random Forest or MaxEnt. Implications of spatial point patterns as well as chosen environmental parameters will be discussed. All methods will be practically applied during the course using the programming language R. The needed pre-requisites are covered in the course “Applied Programming for Remote Sensing and GIS“.
Coding examples and individual project work
Various software programs will be used, but mainly OpenSource software such as R and GRASS.
Different techniques will be introduced and practically applied such as randomForest, GAM or MaxEnt
The theory and practice of spatial modeling with a focus on ecology and conservation
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