application deadline in 7 days

The application deadline for the upcoming winter term is approaching. Apply within the next 7 days here: http://eagle-science.org/applyapplication deadline is May 15th, further details about needed documents are listed on the application page.

Learn within EAGLE how to apply remote sensing for a variety of environmental applications, explore new methods and collaborate with other disciplines. Also read the news by our EAGLE students on their webpage.

More details about the study program or the courses can be found here:

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EAGLE summer dialogue

EAGLE summer dialogue

Our annual EAGLE summer dialogue was a great success again even though the weather was quite challenging. The EAGLEs organized a fantastic event with fun activities, great images reviving the last months and years and of course a BBQ, drinks and an outstanding...

new publication by our EAGLE student Clara Vydra

new publication by our EAGLE student Clara Vydra

Our EAGLE student Clara just published an article about snow cover variability in Central Asia - great to see our young EAGLE MSc students being on a good track for their scientific career. from the abstract: "Climate change is affecting the snow cover conditions on a...

UAS team – meme

UAS team – meme

The UAS (UAV or drone) team was quite busy the last months to collect data in Europe, Africa or Arctic and the group spend plenty of hours traveling and collecting Lidar, multispectral, thermal or hyperspectral data in various ecosystems. Of course in many cases faced...

scientific graphics course

scientific graphics course

Beside the various remote sensing courses such as radar, cloud computing, terrain analysis, urban analysis etc. we do also offer courses on softskills such as scientific writing, presentations as well scientific graphics and maps. Within our scientific graphics course...

EAGLE students introduce locust spatio-temporal modeling

EAGLE students introduce locust spatio-temporal modeling

Our EAGLE students Leonie, Sonja and Clara presented methods to model the spatial and temporal distribution of locust in France using statistical modelling approaches within R and the flexSDM package. The elaborated for two hours how the complex data preparation,...