Aim:
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.
Content
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
Software
Techniques
Content
General Course News and Updates
MSc defense by Vanessa Rittlinger
On Tuesday, October 24, 2023 at 10:00 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 the conference room 01.B.03 in John-Skilton-Str. 4a/1st...
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...
M.Sc. defense by Jakob Rieser
On Monday, 26th of September at 10am, Jakob will present his M.Sc. thesis „A Synergistic Use of Optical and SAR Remote Sensing Data for the Long-term Evolution of Biocrusts and their Activity Across Diverse Dryland Ecosystems”. from the abstract: "Biological soil...
MSc defense by Christopher Chan
Chris will present his M.Sc. thesis "Investigating the capability of UAV imagery in AI-assisted mapping of Refugee Camps in East Africa" on Friday 16th of September at 2pm. From his abstract: " Refugee camps and informal settlements provide accommodation to some of...