Andreas Wiesmann

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A novel system for the classification of multitemporal synthetic aperture radar (SAR) images is presented. It has been developed by integrating an analysis of the multitemporal SAR signal physics with a pattern recognition approach. The system is made up of a feature-extraction module and a neural-network classifier, as well as a set of standard(More)
L-band (1-2 GHz) microwave radiometry is a remote sensing technique that can be used to monitor soil moisture, and is deployed in the Soil Moisture and Ocean Salinity (SMOS) Mission of the European Space Agency (ESA). Performing ground-based radiometer campaigns before launch, during the commissioning phase and during the operative SMOS mission is important(More)
Landslides are a natural hazard of special relevance to mountainous areas with severe human and economic consequences. Consequently, an efficient survey of unstable slopes in these regions is important. Repeat-pass differential SAR interferometry (InSAR), in general, and Interferometric Point Target Analysis (IPTA), in particular, are powerful techniques(More)
Siberia’s boreal forests represent an economically and ecologically precious resource, a significant part of which is not monitored on a regular basis. Synthetic aperture radars (SARs), with their sensitivity to forest biomass, offer mapping capabilities that could provide valuable up-to-date information, for example about fire damage or logging activity.(More)
In this paper, the potential of L-band repeat-pass differential synthetic aperture radar (SAR) interferometry for land subsidence monitoring is evaluated using Japanese Earth Resources Satellite (JERS) SAR data. Bologna, Mexico City, and the Ruhrgebiet are selected as application sites representing slow to fast deformation velocities. The investigation(More)
AND INITIAL MEASUREMENTS FROM DAVOS SWITZERLAND Charles Werner, Andreas Wiesmann, Tazio Strozzi, Martin Schneebeli, Christian Mätzler (1) Gamma Remote Sensing, Gümligen, Switzerland; http://www.gamma-rs.ch, cw@gamma-rs.ch (2) WSL Institute for Snow and Avalanche Research Davos, Switzerland (3) University of Bern, Institute of Applied Physics, Switzerland(More)
The main objective of the project ”Monitoring of mining induced surface deformation” (ALOS-RA-94) is to evaluate multi-temporal PALSAR data for land surface deformation monitoring, using interferometric techniques. Differential interferometry using PALSAR data over several mining sites in Germany, Poland and Czech Republic, as well as over alpine landslides(More)