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
EAGLE student published review article with Prof. Kuenzer
Congratulations to our EAGLE student Patrick Sogno who published together with Prof. Claudia Kuenzer a review article on "Earth Observation Data Supporting Non-Communicable Disease Research: A Review". From the abstract: "A disease is non-communicable when it is not...
M.Sc. defense by Michael Wang
Michael Wang will present his thesis "Comparison of Surface Urban Heat Islands Using the World Settlement Footprint Imperviousness Layer" on Sept. 17th at 10am. From the abstract: "In the growing field of surface urban heat island (SUHI) analysis, impervious surface...
MSc. presentation by Fowad Ahmed
Fowad Ahmed will present his M.Sc. thesis "Agricultural landscape Configuration and Pattern Analysis with VHR Imagery in Bavaria" on Friday 11th at 11am. from the abstract: "Hedgerows and woody linear features are an integral part of the landscapes where they exist....
M.Sc. defense by Nina Gnann
Nina Gnann will present her M.Sc. thesis "Identification of anthropogenic debris assisted by unmanned aerial vehicles and deep learning” on September 8th 12pm. From the abstract: Due to anthropogenic actions, plastic and other debris are distributed in the environment...
MSc thesis presentations by Navid Chamani
Navid Chamani is defending his thesis "Investigation on the intra-annual variations of the relationship between Landsat 8-derived LST and spectral indices in west Africa" on September 25th 10am. from the abstract: "Monitoring the variations of the land surface...
MSc defense by Salim Soltani
Selected map of NSR and non_NSR cities from 1990-2019, NSR cities represent the cities located directly on the New Silk Road , and non_NSR cities represent cities located far from( at least 100 Km) the New Silk Road. Salim Soltani will defend his M.Sc. thesis...
New EAGLEs in 2020
we are finally through all 140 interviews of eligible EAGLE applications. We had again very good and highly suitable candiates and in total 25 applicants passed the interviews and are accepted to the EAGLE program. Our new EAGLEs are from various countries (15...
M.Sc. Defense by Felix Glasmann
Felix Glasman will defend his M.Sc. thesis "The FireBIRD Mission: Potential for the Detection of Gasflaring" on Thursday 30th of July at 11am. From his abstract: "The controversial but widespread process of gas flaring has received growing attention over the recent...
Internship presentations
On Thursday 30th at 10 am the following EAGLE students will present their internships or inno labs: Tobias Gutzmann: 'Aerial Image Analysis for WW2 Warfare Material Detection' at Luftbilddatenbank Henrik Fisser: 'Sentinel-2 Truck Detection - Sensing Trade from Space...
EAGLE student Henrik Fisser won ESA competition
Congratulations to Henrik Fisser, whose Sentinel-2 analysis on truck detection has been awarded the first prize for the European Data Cube COVID-19 contest! He uses the reflectance patterns of long moving vehicles in Sentinel-2 images. Please see the ESA webpage for...