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 Narges Mohammadi Khoshouei
MSc Defense by Narges Mohammadi Khoshouei On Friday, October 09, 2023, at 10 a.m. Narges Mohammadi Khoshouei will present her MSc thesis "Short-term forecast of water reservoir dynamics by integrating earth observation and hydrological modeling for dam management" in...
Our EAGLE student Konstantin published an article on deep neural network regression for digital surface model generation
Our EAGLE M.Sc. student Konstantin together with our EOR cluster professor and EAGLE lecturer Hannes Taubenböck published an article about the capabilities of deep neural network regression for digital surface model generation with Sentinel-2 Imagery. Konstantin...
Detection of slope deformation at the Tröllaskagi peninsula, N-Iceland, using Sentinel-1 DInSAR time series
MSc defense (MA2) by Ása Dögg Adalsteinsdóttir On Monday, September 18, 2023 Ása Dögg Adalsteinsdóttir will present her Msc Thesis at 14:00 Detection of slope deformation at the Tröllaskagi peninsula, N-Iceland, using Sentinel-1 DInSAR time series Thema: MSC...
MSc defense Sub-seasonal snowline dynamics of glaciers in Central Asia from multi-sensor satellite observations, 2000-2021
MSc defense (MA2) by Dilara Kim On Monday, September 18, 2023 Dilara Kim will present her Msc Thesis at 13:00 “Sub-seasonal snowline dynamics of glaciers in Central Asia from multi-sensor satellite observations, 2000-2021” From the abstract: Glaciers are an important...
Detection of slope deformation at the Tröllaskagi peninsula, N-Iceland, using Sentinel-1 DInSAR time series
MSc defense (MA2) by Ása Dögg Adalsteinsdóttir On Monday, September 18, 2023 Ása Dögg Adalsteinsdóttir will present her Msc Thesis at 14:00 Detection of slope deformation at the Tröllaskagi peninsula, N-Iceland, using Sentinel-1 DInSAR time series Thema: MSC...
MSc Defense by Nora Nieskens
MsC Defense by Nora Nieskens On Friday, September 08, 2023 at 11 a.m. Nora Nieskens will present her Msc Thesis “Estuaries in transition: Earth observation-based analysis of the turbidity dynamics in selected North Sea estuaries” in room 00.B.09 in John-Skilton-Str....
first EAGLE MSc. student defended his PhD
one of our very first EAGLE M.Sc. students Maninder Dhillon successfully defended his PhD! Congratulations by the whole EAGLE program and of course all EAGLE students - many of the young and older students joined his presentation and listened to his topic of...
M.Sc. defense by Luisa Pflumm on remote sensing for decision making
Luisa will defend her M.Sc. thesis "Using remote sensing to enhance conservation decision-making: The case of the little-known silver-backed chevrotain" this Friday at 10am in the meeting room John Skilton 4a. From her abstract: "Southeast Asia is a biodiverse region...
EAGLEs at DLR’s 4th Symposium “New Perspectives on Earth Observation”
From the 26th to the 28th of June, the fourth symposium on Applied Satellite Earth Observation, organized by the DLR took place in Bonn and some of the current EAGLE generation did not miss the opportunity to make a fun trip to the former capital of Germany. From...
Innovation Lab Presentation by Konstantin Müller
On Tuesday, July 18 at 11 a.m. Konstantin Müller will hold his Innovation Lab Presentation "Analysis of Twitter over New Year's Eve" From the abstract: Until this day, scientists have figured out urban data and structures as morphological or topological...