Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Humboldt-Universität zu Berlin - IRI THESys

Mapping anthropogenic land cover from dense time series of multi-sensor data for material stock pattern analysis

Franz is a doctoral student at the Remote Sensing Lab of the Department of Geography at Humboldt-Universät zu Berlin. His main research interest is in methods of quantitative satellite image analysis and automation to help understand large area natural and anthropogenic processes on earth. His recent research has been dedicated to mapping and characterizing human settlements with remote sensing data.

This dissertation will quantify anthropogenic material stocks from remote sensing and other spatial data in large areas as a contribution to socio-economic metabolism research. Using a selection of national study areas, it will link products from remote sensing data with material stocks estimation on a potentially global scale.

The concept of socio-economic metabolism describes the input and output of the entirety of resources used to sustain a society and has become a key element of sustainable transformation research. Whereas many studies in socio-economic metabolism research study material and energy flows, the ERC-funded project MAT_STOCKS will focus on the accumulation, distribution and depletion of material stocks and the stock-flow nexus. About half of all recent material flows could be allocated to stock accumulation, mainly in buildings and infrastructure. Remote sensing has a history of mapping anthropogenic land cover and land use using various sensors in various study areas and on various scales.

The dissertation will be structured around three chapters with a different thematic and methodological emphasis. A first step consists of mapping land cover in human settlements using Sentinel-2 data and machine learning regression. Chapter 2 uses both remote sensing data and previous study outputs to move towards an interpretive level of urban and infrastructure type identification. A third step will contribute to the development of a methodology to derive material stocks patterns and estimates from urban functional/structure type maps.

Franz graduated in Physical Geography of Human-Environment Systems from Humboldt-Universität zu Berlin. He is currently pursuing his PhD studies in the Remote Sensing Lab of Humboldt-Universität in close collaboration with the Institute of Social Ecology at the University of Natural Resources and Life Sciences Vienna.




Franz Schug, Doctoral Researcher
THESys Graduate Program
Tel.: +49 (0) 30 2093 46319
E-Mail: franz.schug@geo.hu-berlin.de