Aim
This course provides detailed knowledge of programming or coding using spatial data, especially for remote sensing and GIS tasks.
Content
Different spatial programming approaches are covered using actual remote sensing and GIS data to enable the students to apply a variety of methods in a semi-automatic manner for remote sensing data analysis. All methods will be practically applied during the course using the programming language R and maybe other programs such as GRASS, SAGA, QGIS or OTB. This course continues where the “Programming and Geostatistics” courses stopped and is considered a prerequisite. Both courses are tightly linked
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,...