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Open AccessArticle

Classification of Landslide Activity on a Regional Scale Using Persistent Scatterer Interferometry at the Moselle Valley (Germany)

1
Federal Institute for Geosciences and Natural Resources (BGR), 30655 Hannover, Germany
2
Institute of Photogrammetry and GeoInformation (IPI), Leibniz University Hannover, 30167 Hannover, Germany
Remote Sens. 2018, 10(12), 1880; https://doi.org/10.3390/rs10121880
Received: 28 September 2018 / Revised: 9 November 2018 / Accepted: 14 November 2018 / Published: 24 November 2018
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Abstract

Landslides are a major natural hazard which can cause significant damage, economic loss, and loss of life. Between the years of 2004 and 2016, 55,997 fatalities caused by landslides were reported worldwide. Up-to-date, reliable, and comprehensive landslide inventories are mandatory for optimized disaster risk reduction (DRR). Various stakeholders recognize the potential of Earth observation techniques for an optimized DRR, and one example of this is the Sendai Framework for DRR, 2015–2030. Some of the major benefits of spaceborne interferometric Synthetic Aperture Radar (SAR) techniques, compared to terrestrial techniques, are the large spatial coverage, high temporal resolution, and cost effectiveness. Nevertheless, SAR data availability is a precondition for its operational use. From this perspective, Copernicus Sentinel-1 is a game changer, ensuring SAR data availability for almost the entire world, at least until 2030. This paper focuses on a Sentinel-1-based Persistent Scatterer Interferometry (PSI) post-processing workflow to classify landslide activity on a regional scale, to update existing landslide inventories a priori. Before classification, a Line-of-Sight (LOS) velocity conversion to slope velocity and a cluster analysis was performed. Afterwards, the classification was achieved by applying a fixed velocity threshold. The results are verified through the Global Positioning System (GPS) survey and a landslide hazard indication map. View Full-Text
Keywords: landslide; PSI; Persistent Scatterer Interferometry; Sentinel-1 landslide; PSI; Persistent Scatterer Interferometry; Sentinel-1
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kalia, A.C. Classification of Landslide Activity on a Regional Scale Using Persistent Scatterer Interferometry at the Moselle Valley (Germany). Remote Sens. 2018, 10, 1880.

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