Aim
The potential and challenges of Unmanned Aerial Vehicles for monitoring our environment is covered using theoretical as well as practical approaches.
Content
In recent years, the use of small Unmanned Aerial Vehicles (UAV, UASs or also called Drones) inceased to map and monitor our environment at unprecedented detail. The development of new multispectral instruments on UAVs have given the remote sensing community exciting opportunities to acquire new data. With these new opportunities also new challenges such as sensor calibration, georeferencing as well as processing workflows, calibration/validation, and derivation of relevant land cover information. The course will cover theory and practice to apply UAVs in environmental research and its use for remote sensing analysis.
Coding
Software
Techniques
Content
General Course News and Updates
Master Defense: Detection of hedgerows and copses in the agricultural landscape of Lower Franconia (Germany) using earth observation data
On September 17, Verena Stegmaier will presenter her master thesis " Detection of hedgerows and copses in the agricultural landscape of Lower Franconia (Germany) using earth observation data" at 12:30 in seminar room 3, John-Skilton-Str. 4a. From the abstract:...
Cooperation with Namib desert Research Institute Gobabeb
The Namib desert research station Gobabeb (www.gobabeb.org) is involved in diverse research projects and is hosting various students and researchers from a wide range of backgrounds and nationalities. They are also already involved in remote sensing and very...
Innolab Presentation: Enhancing Satellite Data Processing for Global Shallow Water Bathymetry at EOMAP
On September 10, 2024, Isabella Metz will present her Inno Lab results on " Enhancing Satellite Data Processing for Global Shallow Water Bathymetry at EOMAP" at 12:00 in seminar room 3, John-Skilton-Str. 4a. From the abstract: About 75% of the oceans have not yet been...
Internship Presentation: Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team
On October 01, 2024, Ariana Sofía Argüello Cordero will present her internship " Application of synthetic aperture radar (SAR) data: Case study in flood mapping in Costa Rica and technical capacity building of the PRIAS team" at 12:00 in seminar room 3,...
Internship Presentation: Small-scale 3D model generation by photogrammetry of alpine vegetation in Berchtesgaden National Park
On Tuesday, August 20, 2024 at 10:00 a.m. Daniel Gruschwitz will present his internship "Small-scale 3D model generation by photogrammetry of alpine vegetation in Berchtesgaden National Park" in seminar room 3, John-Skilton-Str. 4a. From the abstract: Nature in...
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
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
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
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
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,...