Aim
In this course we will learn the alternative image analysis paradigm of object-based image classification. Image objects are areas in images which consist of pixels from the same land-cover class (e.g. buildings, water surfaces, vegetation) and allow the application of additional image classification methods in comparison to pure pixel-based methods and the integration of multi-modal date (e.g. vector data).
Content
In the course we will use satellite images and high resolution aerial images in combination with vector data and analyze various image classification methods (nearest neighbor -> random forests -> deep learning) to extract relevant information from the images.
We will use the software “eCognition”.
The course will be held on 3 days in Würzburg plus an introductory lecture which is being held online.
Session 1: getting to know to image objects and eConition software, basic classification methods
Session 2: advanced classification (Machine Learning)
Session 3: Deep Learning
Coding
Software
Techniques
Content
General Course News and Updates
MSc defense by Marius Witt
Marius Witt will present his M.Sc. thesis "Investigating discharge dynamics at catchment level usingremote sensing timeseries" on Friday 14th of January 2022 at 9am. From the abstract: The anthropogenic induced climate change is one of the foremost challenges of the...
Our students won the DLR Copernicus challenge 2021!
Great to see again our EAGLE students winning the DLR Copernicus challenge. Last year Henrik Fisser won with his truck detection approach, this year our EAGLE students Sofia Garcia, Annika Ludwig, Nils Karges, Andreas Bury and Antonio Castaneda won the DLR Copernicus...
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...