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Internship, Innovation Lab and MSc idea presentations

Internship, Innovation Lab and MSc idea presentations

by EAGLE Team | Jul 18, 2018 | course, innovation laboratories, internships, MSc thesis

The following students presented their innovation labs, internships and ideas for MSc. thesis: Ahmed: ‎ Innovation Lab at DLR (team of Ursula Gessner) and Master Thesis Idea: Title: Status of Agricultural Lands in Egypt using Earth Observation Maninder (at DLR,...
Internship and Innovation Lab presentations

Internship and Innovation Lab presentations

by EAGLE Team | Jun 19, 2018 | innovation laboratories, internships, news

Today some of our EAGLE students presented their internship and innovation laboratory projects. Very interesting topics and they obviously applied and deepened their remote sensing knowledge a lot. Julia Sauerbrey:  Prediction of Organic Matter Content from Sentinel-2...
internship and innovation laboratory presentations

internship and innovation laboratory presentations

by EAGLE Team | Apr 13, 2018 | course, innovation laboratories, internships, news

The following internship and innovation laboratory projects were presented today: Karsten Wiertz did his internship at the Białowieza national park on “Spatio-temporal analysis of tree mortality and gaps in the Białowieza Forest using high resolution...
Explore species-environment interaction

Explore species-environment interaction

by EAGLE Team | Apr 20, 2016 | innovation laboratories, news, wegmann

Analyzing species-environment interaction is feasible using various data and method. An increasing technology is the tracking of animals and especially its linkage to remote sensing, as covered in AniMove.org. However, with this technology new challenges have to be...
Deployment of a multi-classifier approach to improve land cover classification accuracy

Deployment of a multi-classifier approach to improve land cover classification accuracy

by EAGLE Team | Mar 7, 2016 | innovation laboratories, news

This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed....
Stereo photogrammetry for multi-temporal surface models based on aerial imagery

Stereo photogrammetry for multi-temporal surface models based on aerial imagery

by EAGLE Team | Feb 7, 2016 | innovation laboratories, news

The data provided by aerial imagery are amongst the oldest sources of spatially explicit information for modern-time environmental management. These data are often captured over landscape-level domains using overlapping flight stripes to enable stereo photogrammetric...
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