ALOS/PALSAR InSAR time-series analysis for detecting very slow-moving landslides in Southern Kyrgyzstan

  • This study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based landslide investigations have revealed that many landslides have indicators for ongoing slow movements in the form of migrating and newly developing cracks. L-band ALOS/PALSAR data for the period between 2007 and 2010 are available for the 484 km2 area in this study. We analyzed these data using the Small Baseline Subset (SBAS) time-series technique to assess the surface deformation related to the activation of landslides. We observed up to ±17 mm/year of LOS velocity deformation rates, which were projected along the local steepest slope and resulted in velocity rates of up to −63 mm/year. The obtained rates indicate very slow movement of the deep-seated landslides during the observation time. We also compared these movements with precipitation and earthquake records. The resultsThis study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based landslide investigations have revealed that many landslides have indicators for ongoing slow movements in the form of migrating and newly developing cracks. L-band ALOS/PALSAR data for the period between 2007 and 2010 are available for the 484 km2 area in this study. We analyzed these data using the Small Baseline Subset (SBAS) time-series technique to assess the surface deformation related to the activation of landslides. We observed up to ±17 mm/year of LOS velocity deformation rates, which were projected along the local steepest slope and resulted in velocity rates of up to −63 mm/year. The obtained rates indicate very slow movement of the deep-seated landslides during the observation time. We also compared these movements with precipitation and earthquake records. The results suggest that the deformation peaks correlate with rainfall in the 3 preceding months and with an earthquake event. Overall, the results of this study indicated the great potential of L-band InSAR time series analysis for efficient spatiotemporal identification and monitoring of slope activations in this region of high landslide activity in Southern Kyrgyzstan.show moreshow less

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Metadaten
Author:Kanayim Teshebaeva, Sigrid Roessner, Helmut Echtler, Mahdi Motagh, Hans-Ulrich Wetzel, Bolot Molodbekov
URN:urn:nbn:de:kobv:517-opus4-400083
Series (Serial Number):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (344)
Document Type:Postprint
Language:English
Date of first Publication:2017/08/31
Publishing Institution:Universität Potsdam
Release Date:2017/08/31
Tag:ALOS/PALSAR; deep seated landslide; interferometric SAR (InSAR); small baseline subset (SBAS); time-series; very slow moving landslide
Pagenumber:22
Source:Remote sensing 7 (2015) Nr. 7, S. 8973–8994. - DOI: 10.3390/rs70708973
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät
Peer Review:Referiert
Publication Way:Open Access
Grantor:Multidisciplinary Digital Publishing Institute (MDPI)
Licence (German):License LogoCreative Commons - Namensnennung, 4.0 International