Details

Autor(en) / Beteiligte

• Barboux, Chloé
• Strozzi, Tazio
• Delaloye, Reynald
• Wegmüller, Urs
• Collet, Claude

Titel

Mapping slope movements in Alpine environments using TerraSAR-X interferometric methods

Ist Teil von

• ISPRS journal of photogrammetry and remote sensing, 2015-11, Vol.109, p.178-192

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2015

Link zum Volltext

Quelle

Elsevier ScienceDirect Journals Complete

Beschreibungen/Notizen

• Detection and mapping of slope movements of various velocity rates encountered in Alpine environments using Differential SAR Interferograms (DInSAR), Persistent Scatterer Interferometry (PSI), Short-Baseline Interferometry (SBAS) and a semi-automated texture image analysis. [Display omitted] Mapping slope movements in Alpine environments is an increasingly important task in the context of climate change and natural hazard management. We propose the detection, mapping and inventorying of slope movements using different interferometric methods based on TerraSAR-X satellite images. Differential SAR interferograms (DInSAR), Persistent Scatterer Interferometry (PSI), Short-Baseline Interferometry (SBAS) and a semi-automated texture image analysis are presented and compared in order to determine their contribution for the automatic detection and mapping of slope movements of various velocity rates encountered in Alpine environments. Investigations are conducted in a study region of about 6km×6km located in the Western Swiss Alps using a unique large data set of 140 DInSAR scenes computed from 51 summer TerraSAR-X (TSX) acquisitions from 2008 to 2012. We found that PSI is able to precisely detect only points moving with velocities below 3.5cm/yr in the LOS, with a root mean squared error of about 0.58cm/yr compared to DGPS records. SBAS employed with 11days summer interferograms increases the range of detectable movements to rates up to 35cm/yr in the LOS with a root mean squared error of 6.36cm/yr, but inaccurate measurements due to phase unwrapping are already possible for velocity rates larger than 20cm/year. With the semi-automated texture image analysis the rough estimation of the velocity rates over an outlined moving zone is accurate for rates of “cm/day”, “dm/month” and “cm/month”, but due to the decorrelation of yearly TSX interferograms this method fails for the observation of slow movements in the “cm/yr” range.