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Faculty of Mathematics and Natural Sciences - Geomatics


student group on a boat in BrazilYou plan to focus on Earth Observation?

Here you find all information needed to structure your studies with a focus on Earth Observation: course descriptions, potential topics for your bachelor or master thesis, and good practice examples of theses or MAPs from previous courses.


sea rubber conversion - landscape fotoCambodia's tropical forests give way to rubber tree plantations

Using satellite imagery, we show the impact of rubber tree plantations on Cambodian forest cover and analyse how annual forest-to-rubber conversion rates relate to global rubber prices from 2001 to 2015. Find out our more here and here.

shrubland in southern PortugalCharacterizing shrubland dynamics in southern Portugal

We show how a 32-year time-series of annual shrub fractions can be derived from Landsat data covering a (semi-)natural ecosystem in southern Portugal. The time-series depicts relevant shrub-related change and management processes like gradual encroachment or cyclic clearing & regrowth. Find out our more here.

mix of urban compositions across multiple cities - satellite imagery analysisHow pixel quality flags affect the availability of analysis ready data

Analysis ready data relies on pixel quality flags informing about sensor saturation and clouds. But what happens if your cloud screening algorithm detects clouds frequently because it can’t handle specific surface types/conditions? And how does sensor saturation over bright targets impact on observation density? To find out we analyzed more than 30 years of Landsat data in collaboration with Geoscience Australia. Find the results here.

mix of urban compositions across multiple cities - satellite imagery analysisMonitoring Forest Mortality - radio interview

The German public radio (Deutschlandfunk) interviewed our postdoc Cornelius Senf and our collaborator Rupert Seidl (BOKU Vienna) on monitoring forest mortality from space. Listen to the full interview here (German).


mix of urban compositions across multiple cities - satellite imagery analysisMapping urban composition across multiple cities using generalized regression models

We show how machine learning based regression models can be generalized to exploit forthcoming EnMAP data across multiple cities. Find out more here.