ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

Remote Sensing

Kanayim Teshebaeva³  Sigrid Roessner³  Helmut Echtler³  Mahdi Motagh³  Hans-Ulrich Wetzel³  Bolot Molodbekov¹  Nicolas Baghdadi² 

[1] CAIAG Central Asian Institute for Applied Geosciences, Timur-Frunze str.73/2, Bishkek 720027, Kyrgyzstan; E-Mail:GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany;;GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany; E-Mails:

关键词: interferometric SAR (InSAR);    small baseline subset (SBAS);    time-series;    ALOS/PALSAR;    deep seated landslide;    very slow moving landslide;   

DOI  :  10.3390/rs70708973

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.