Aim
The module addresses methods on how Earth Observation and the use of geoinformation can support different fields of land and water management. The students will be guided to gain knowledge in selected practical examples.
Content
A general introduction on the subject, which strongly integrates large fields of environmental sciences and studies, is given. The students select topics in which remote sensing and geoinformation can significantly contribute parameters for answering relevant management questions. The topics include the derivation and use of parameters for monitoring land and/or water resources and examples how they can actually implemented in analytical or predictive models, or in indicator systems. The examples may include the management of the resources in rangelands, croplands, irrigation and drainage systems, river catchments, urban areas, or others. Focus may be set on special geographical settings. Depending on the selected topics and scale relevant Earth Observation parameters can include land cover and land use mapping, biophysical variables (LAI/FPAR/Chlorophyll, evapotranspiration , etc.), biomass or crop yields, soil moisture, phenological metrics and other dynamic parameters.
Coding
Software
Techniques
Content
General Course News and Updates
Our EAGLE students with UAV and field work jackets
Our EAGLE students preparing our UAVs with thermal, multispectral and Lidar sensors for the upcoming field work season. Also wearing our new field work jackets so that we all are easily recognizable as Earth Observation researchers.
MSc thesis defense by Patrick Sogno
On Monday, 25th of January at 10 a.m., Patrick Sogno will present his M.Sc. thesis "Earth Observation for Exposome Mapping – Proof of Concept and Case Study in Augsburg, Germany". from the abstract: "Non-communicable diseases – NCDs – (asthma, cancer, or diabetes, for...
internship and inno lab presentations
On Wednesday, 27th of February at 2pm we will have the first set of internship and innovation laboratory presentations in 2021: Yan Chak Christopher Chan: Start-up life and Deep Learning (Internship) Nils Karges: Noise and its relation to urban structural types...
internship, inno lab and MSc idea
On Monday 21st of December at 10am we will have the following presentations: Camilo (Internship)"Forest cover change between 2000 and 2020 in El Chaco ecoregion, Paraguay" at DLR Johannes Mast (Thesis Idea):"Measuring Urban Polycentricity using Remote Sensing"...
EAGLE wall of graduates is growing steadily
Our EAGLE wall of fame is being continuously extended by pictures of our new graduates and the group pictures of our EAGLE cohortes. Great to see their pictures on our wall and following their career past the EAGLE M.Sc.. Very interesting positions from companies to...
MSc defense by Aiga Taghavi
Aida Taghavi will present her M.Sc. thesis "Potentials of Cosmic-Ray Neutron Probes for Assessing and Mapping SAR-based Soil Moisture in a Mediterranean agro-forestry ecosystem" on Dec. 15th at 1pm. From her abstract: "Accurate near-surface soil moisture (~ 5cm,...
Internships, inno lab and MSc ideas presentations
On Monday, Dec. 14th at 10am, we have another set of internship, innovation lab and MSc. thesis idea presentations: Sandro Groth: Multitask Deep Learning and Google Street View: Assessing seismic building vulnerability in Santiago de Chile (Internship)...
MSc idea & internship
On Monday, Dec. 7th at 10am, various internships, innovation labs and M.Sc. ideas will be presented: Malin Fischer: EO and spatial data analysis for rural village assessment - example from the electrification sector (Internship) Henrik Fisser: Road traffic...
Our newest EAGLE generation featured on 40 years of DLR Earth Observation Centre (EOC) article
We are thrilled to see our youngest EAGLE generation being mentioned on the 40 years anniversary of DLR-EOC news article. Great to see the EAGLE group on the DLR webpage (with some students missing though) fitting perfectly into the interesting and dynamic evolution...
MSc defense by Pawel Kluter
Pawel Kluter will present his M.Sc. thesis on Friday 30th of Oct. at 10 am with the title "Deep Learning Approach to Ship Detection and Classification Using Synthetic Aperture Radar Data". From his abstract: "With over 92,000 large commercial vessels at sea,...