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
MSc defense by Magdalena Halbgewachs
Magdalena Halbgewachs will present her MSc thesis "A Spectral Mixture Analysis and Landscape Metrics based framework for monitoring spatio-temporal forest cover changes: A case study in Mato Grosso, Brazil" on Wednesday 16th of June at 9am. From the abstract: More and...
Review of applications
Dear all applicants in 2021, we are currently working through the first evaluation of all 230 applications and will send out invitations for interviews in the next days/weeks. Unfortunately we are a bit delayed due to the high number of applications and we want to...
MSc thesis defense by Johannes Mast
Johannes Mast will present his thesis "Analyzing the relationship between urban morphology and economic subcenters with a focus on urban polycentricity using remote sensing and socioeconomic data" on Monday 14th of June at 9am. From the abstract: "Polycentricity...
high number of application submitted for 2021
The application deadline for the 2021 EAGLE generation passed yesterday and 230 application were submitted. That are 80 more than last year. Check out who started in the 2020 EAGLE generation here. We are now going through each single one and check for general...
EAGLE 2021 application deadline approaching
the application deadline for our international Earth Observation M.Sc. program EAGLE is slowly approaching. Apply before May 15th to be reviewed and potentially interviewed for a place in the 2021 EAGLE group. Check out our courses, our lecturer and most important...
Internship, inno lab and MSc idea presentations
On Thursday, May 20th, at 2pm the following students will present their internship, inno lab or MSc thesis idea: Christopher Chan:“Patching up old Deep Learning code and working with data center remotely” (Internship with DLR, supervisor Benjamin Leutner) Diego...
inno lab and MSc idea presentation
Next Tuesday, April 27th, at 10am the following EAGLE students will present their Innovation Laboratory work and their MSc thesis idea: Sandro Groth: "PortalAdminTools: A Python-based programming interface for Esri Enterprise infrastructures" (InnoLab with ESRI)Sandro...
internship and MSc idea presentation
on Tuesday April 6th 3pm we will have the folling internship and MSc idea presentations: Joy-Giovanni Matabishi, " MESMA of DESIS data to identify Rooftops in Kigali"- Internship/EKUT Luisa Pflumm, "Comparison of the performance of different accessibility layers for...
internship presentations
On Monday March 1st at 10am the following internships will be presented: Marius Witt, Baby it's cold outside - Interning at DLRs Polar Team, internship at DLR. Jakob Wachter, Potential use cases of a self established database for social media data, internship at...
Great Earth Observation presentations despite distance learning
Despite the online courses we learned and managed to deliver great presentations on remote sensing data analysis in our courses and also improved our virtual presentation skills which might also partially be valuable in future conference or workshop presentations.