The increasing availability of remote sensing data allows for the comprehensive mapping of geomorphological features and the continuous monitoring of surface morphology changes at high spatial and temporal resolutions. Within the MORPH project (http://morph.zgis.at/ ) novel methods for mapping, monitoring and modelling spatial-temporal dynamics of surface morphology are developed by an integrated analysis of various optical and radar remote sensing data. MORPH focuses on the investigation of landslides and volcanic deposits in two study areas in Iceland, which are highly dynamic in their geomorphic evolution and are characterized by progressive mass displacements and surface deformation.
The following topics for master theses within the project are suggested and can be further specified together with interested students:
(1) Analysing field photographs (highly overlapping) of landslides and rock formations with SfM (structure from motion) approaches and evaluating the results together with existing DEM data (e.g. Arctic DEM) for volume change calculation.
(2) Measuring horizontal displacements of slows moving landslides and/or glaciers in Iceland from time-series of HR optical satellite images (Landsat, Sentinel-2) with an image correlation approach.
André Stumpf, Jean-Philippe Malet, Christophe Delacourt, Correlation of satellite image time-series for the detection and monitoring of slow-moving landslides, In Remote Sensing of Environment, Volume 189, 2017, Pages 40-55,
Remote sensing (optical) ++
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