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Remote Sens. 2013, 5(5), 2554-2570;

Interpretation of Aerial Photographs and Satellite SAR Interferometry for the Inventory of Landslides

GAMMA Remote Sensing, Worbstrasse 225, CH-3073 Gümligen, Switzerland
Institute of Earth Sciences, University of Applied Sciences of Southern Switzerland, Campus Trevano, CH-6952 Canobbio, Switzerland
Hazard Prevention Division, Federal Office for the Environment, CH-3003 Bern, Switzerland
Author to whom correspondence should be addressed.
Received: 30 March 2013 / Revised: 1 May 2013 / Accepted: 14 May 2013 / Published: 22 May 2013
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An inventory of landslides with an indication of the state of activity is necessary in order to establish hazard maps. We combine interpretation of aerial photographs and information on surface displacement from satellite Synthetic Aperture Radar (SAR) interferometry for mapping landslides and intensity classification. Sketch maps of landslides distinguished by typology and depth, including geomorphological features, are compiled by stereoscopic photo-interpretation. Results achieved with differential SAR interferometry (InSAR) and Persistent Scatterer Interferometry (PSI) are used to estimate the state of activity of landslides around villages and in sparsely vegetated areas with numerous exposed rocks. For validation and possible extension of the inventory around vegetated areas, where InSAR and PSI failed to retrieve displacement information, traditional monitoring data such as topographic measurements and GPS are considered. Our results, covering extensive areas, are a valuable contribution towards the analysis of landslide hazards in areas where traditional monitoring techniques are sparse or unavailable. In this contribution we discuss our methodology for a study area around the deep-seated landslide in Osco in southern Switzerland. View Full-Text
Keywords: landslides; aerial photographs; SAR interferometry; hazard maps landslides; aerial photographs; SAR interferometry; hazard maps
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Strozzi, T.; Ambrosi, C.; Raetzo, H. Interpretation of Aerial Photographs and Satellite SAR Interferometry for the Inventory of Landslides. Remote Sens. 2013, 5, 2554-2570.

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