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 8th generation – first course by Claudia Kuenzer
Our new EAGLEs just spend the whole week learning about all Earth Observation sensors, physics of remote sensing, newest advances and upcoming methods in earth observation. Beside the lecture and getting to know all these crucial information they also had plenty of...
Internship Report by Janik Hoffmann and Lena Jäger
On Tuesday, December 19, 2023 at 12:00 Janik Hoffmann and Lena Jäger will present their internship report on their internship at the University Centre on Svalbard/Norway "Our Arctic Adventure – Northernmost internship on Svalbard" in seminar room 3 in...
welcome of new EAGLE generation
Today we welcomed the new generation of Earth Observation EAGLE students and are happy to see such a diverse and highly motivated group of students again. Students from Nepal, India, Ruanda or Turkey joint our study program among many other countries and already in...
MSc defense by Vanessa Rittlinger
On Friday,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” From the abstract: Landslides as a natural hazard cause damage...
EAGLE MSc students working in the Arctic
From August to November, two EAGLE students had the opportunity to do their internship at the University Centre in Svalbard (UNIS), working in the department of Arctic Biology. Their tasks included regular drone flights in Adventdalen, a valley close to the world’s...
MSc defense by Narges Mohammadi Khoshouei
On October 06, 2023, Narges Mohammadi Khoshouei (Sanaz) successfully defended her master’s thesis entitled “Short-term forecast of water reservoir dynamics by integrating earth observation and hydrological modeling for dam management” at the Earth Observation Research...
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...
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...