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
M.Sc. defense of Sarah Nolting
Sarah Nolting will defend her M.Sc. thesis "Risk Assessment for Flood Events based on Geo- and Socioeconomic Data – A Case Study for North-Rhine Westphalia, Germany" on Wednesday 27th 2pm in room 0.004 OKW 86. from her abstract: "The world’s population has doubled...
M.Sc. defense by Johannes Löw
You are all invited to join the M.Sc. presentation by Johannes Löw. He will defend his M.Sc. thesis on Wednesday 20th of March at 2pm in room 0.004 in OKW 86. from his abstract:Since Sentinel-1 A and B have become fully operational, it is now possible to generate...
Pilar Endara Pinillos handed in her M.Sc. thesis
Pilar Endara Pinillos handed in her M.Sc. thesis "Flooding patterns and vegetation developments in the Orinoco flooded savannas of Colombia." Her M.Sc. defense will be on Wednesday 13th at 2pm in room 0.004 (OKW 86). The ecosystems that are present within Colombian...
Marcus Groll successfully defended his M.Sc. thesis
we congratulate Marcus Groll for his successful defense of this M.Sc. presentation “Deep learning for Instance Segmentation of bomb craters on historical aerial images of the Second World War ”. He has only a few days off before starting his new job as image data...
internship and innovation lab presentations
The following students will present next Tuesday (26th) at 2pm in room 0.004 their internships or innovation labs:Itohan-osa Abu (internship): Mangrove Mapping with TimeScan Data for Nigeria and an Analysis in Context of Coastal Gas Flaring Salim Soltani (internship):...
M.Sc. thesis handed in by Marcus Groll
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...
M.Sc. defense of Maninder Singh Dhillon
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.
Maninder Singh Dhillon handed in his MSc
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....
EAGLE visit DLR-EOC
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.
Internship and M.Sc. idea presentations
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...