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 Belen Villacis
Belen will defend her M.Sc. thesis “Spatio-temporal patterns of urban expansion among main biomes in Ecuador using LULC data from 1990-2018” on Wednesday 8th of September, 2pm. From the abstract: "Over the past decades, the world has experienced an accelerated...
MSc defense by Ronja Lappe
Ronja Lappe handed in her M.Sc. thesis "Assessing 30 years of coastline dynamics in Vietnam using the Landsat archive"from the abstract: "Almost half of the world’s human population lives in coastal regions, with 40 % less than ten meters above sea level. Due to...
MSc defense by Martin Koenig
Martin König handed in his thesis with the title “Examining post-fire vegetation recovery with Landsat time series analysis in Olympic National Park (USA)”. Martin used remote sensing and ground collected data to make sense of vegetation recovery patterns for larger...
thesis idea presentations
On Monday 26th of July at 2pm we will have two MSc thesis idea presentations: Jakob Wachter (thesis idea):"Derivation of Snow cover in mountain regions from Webcam and Sentinel Imagery (thesis idea)" - supervisors Dr. Tobias Ullmann and Dr. Mattia Rossi, EURAC...
Thesis idea and internship presentation
On Thursday, July 22nd at 2pm we will have the following presentations: Haiyin Ye (thesis idea):"Monitoring gypsy moth outbreak using Sentinel-1 and Sentinel-2 data" - supervisors Soyeon bae and Martin Wegmann Christabel Ansah (internship):"Virtual...
MSc Defense by Sandro Groth
Sandro Groth will present his M.Sc. thesis "Using street-level imagery and multi-task deep learning for multi-hazard risk related building characterization" on June 28th at 9am. From his abstract: "Accurate building characterization is a key component of multi-hazard...
MSc defense by Henrik Fisser
Henrik Fisser will present his M.Sc. thesis on Thursday 17th of June at 9am about “Sentinel-2-based moving truck detection for spatiotemporal road cargo emission and density approximation”. More details from his abstract: "In many countries freight is mainly...
MSc defense of Basil Tufail
Basil Tufail will present his M.Sc. thesis "Monitoring the Displacement of an Active Tailings Dam in Peru using Persistent Scatterer Interferometry (PS-InSAR)" on Friday, June 18th, at 9am. From the abstract: "As mining activities and the number of tailings dam grow...
MSc defense by Magdalena Halbgewachs
Magdalena Halbgewachs will present her MSc thesis "A Spectral Mixture Analysis and Landscape Metrics based framework for monitoring spatio-temporal forest cover changes: A case study in Mato Grosso, Brazil" on Wednesday 16th of June at 9am. From the abstract: More and...
Review of applications
Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...