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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.


satellite image with wetland classificationM.Sc. thesis topic on dam-induced wetland changes

In recent decades, a growing body of case studies linked dam construction and the associated changes in the hydrologic regime to changes in wetlands. To date, our knowledge about the spatial patterns of dam-induced changes in wetland extent is limited to single case studies, general patterns of dam-induced wetland changes hence remain poorly understood. Interested? Find out more

members Landsat Science TeamHow do forest ecosystems react to climate change?

Rupert Seidl from the University of Natural Resources and Applied Life Sciences in Vienna explains our joint research in an interview with ORF: http://oe1.orf.at/player/20180207/503682 (German)


members Landsat Science TeamGeomatics Lab is part of Landsat Science Team 2018-2023

After having been a member of the Landsat Science Team 2012-2017, the Geomatics Lab is proud to be selected again for the 2018-2023 team . Our focus will be on exploiting the multi-decadal Landsat archive, planning Landsat-9 activities and the Landsat 10 mission, and linking between Landsat, Sentinel-2 and the forthcoming EnMAP mission.

sheep hearder Inner MongoliaHow multi-billion re-vegetation programs impact LULCC in Northern China

We mapped annual forest and cropland changes for Inner Mongolia with MODIS imagery and found that forest cover increased since the late 1990′s, while cropland retirement mostly occurred at the early stage of ecological programs (Yin et al. 2018 ). In areas where ecological programs where implemented, forest gain and cropland retirement rates were higher.

fire scar Novo Progresso, BrazilLandsat data for mapping pasture management in the Brazilian Amazon

Deforestation in frontier landscapes of the Brazilian Amazon mostly relate to opening land for cattle ranching. Monitoring fire and tillage frequencies from space at fine spatial resolution is needed to understand land use intensity is challenging, though, due to infrequent observations of cloud-prone areas and the swift change patterns. In our recent paper by Jakimow et al., we show how to overcome these challenges based on clear-observation sequences from dense Landsat time series (Jakimow et al. 2018 )