Aim
Within this course object-oriented image analysis is introduced using different very high to high remote sensing data. Different approaches and techniques will be covered to allow students to apply this method in applied science.
Content
Theoretical basics of object-oriented methods are covered and discussed concerning their disadvantages and advantages for applied landscape analysis. Practical exercises are covering first segmentation steps to ready classified images. Various examples and technical settings are explored to outline the challenges and potential of object-oriented image analysis. Final outcome will be an individual project working on different set of images and methods.
Coding
Software
Techniques
Content
General Course News and Updates
Great dashboard by our EAGLE students
our EAGLE students created various informative remote sensing and spatial environmental data dashboards and learned a lot how to communicate their Earth Observation research in an interactive online platform. One example by our student Ronald Okoth is shown below and...
MSc defense by Christabel Ansah
Christabel will present her M.Sc. thesis "ASSESSING THE ENVIRONMENTAL IMPACT OF OIL SPILLS IN THE NIGER DELTA, NIGERIA" on Monday 20th of December at 10am. From the abstract: "The Niger Delta region of Nigeria has been battling with an unprecedented number of oil...
M.Sc. idea presentation by Giovanni Matabishi
On Friday 26th of November at 10am Giovanni will present his M.Sc. idea on "Applying Artificial Light as a Focal Predictor to Model Bat Distribution in South Tyrol". His M.Sc. research is done in collaboration with EURAC research in Bolzano, South Tyrol, Italy. The...
MSc defense Diego Alarcon
Diego will present his M.Sc. thesis "Exploring the potential of remote sensing using machine learning to predict yields for table grape farms in Chile" on Friday, 10th of December at 9am. From the abstract: Table grape is among Chile most important crops, the country...
Internship and MSc idea presentation
On Friday 12th of November at 9am the following presentations will take place: Sofia Garcia:"Production of morphology data in African and Asian cities."Internship at DLR, supervisor: Henri Debray Annika Ludwig"Analysis of alpine grassland management dynamics based on...
MSc defense Malin Fischer
Malin Fischer will present her MSc thesis "Remote sensing and machine learning for irrigation mapping in complex landscapes: a case study in Mozambique" on Wednesday, 10th of November at 9 am. From her abstract: "Analyzing the spatio-temporal distribution of irrigated...
MSc idea, inno lab and internship
On Monday, 25th of October the following remote sensing presentation by our EAGLE students will take place: 9am MSc idea presentation by Nils Karges "Exploring spatial relationships of soundscape variables in urbanareas. " (supervisors: Hannes Taubenböck and Jürgen...
MSc thesis defense by Florian Baumgartner
Floran Baumgartner will present his M.Sc. thesis "The potential of Sentinel-2 time series for yield estimation of a perennial wild plant mix-ture using machine learning" on Friday 29th of October at 10am. From the abstract: "Monocultures are generally accompanied by...
MSc idea and InnoLab presentations
On Friday 15th of October at 10am we will have the following MSc idea and inno lab presentations: Nestor Gualsaqui - M.Sc. Thesis Idea: "Pre-crop emergence weed mapping using high satellite imagery"supervisor: Dr. Michael Thiel Yomna Eid - Innovation Lab:...
MSc defense by Frederic Schwarzenbacher
Frederic Schwarzenbacher will defend his M.Sc. thesis on Monday 6th at 3pm. The title is "Habitat suitability modeling for Desert Locust in the Awash River basin: Estimation of the breeding probability based on remote sensing, climatology and environment data" and...