TY - GEN A1 - Teshebaeva, Kanayim A1 - Roessner, Sigrid A1 - Echtler, Helmut Peter A1 - Motagh, Mahdi A1 - Wetzel, Hans-Ulrich A1 - Molodbekov, Bolot T1 - ALOS/PALSAR InSAR time-series analysis for detecting very slow-moving landslides in Southern Kyrgyzstan N2 - 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 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 344 KW - interferometric SAR (InSAR) KW - small baseline subset (SBAS) KW - time-series KW - ALOS/PALSAR KW - deep seated landslide KW - very slow moving landslide Y1 - 2017 UR - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/40008 UR - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-400083 ER -