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Remote Sens. 2015, 7(7), 8973-8994; doi:10.3390/rs70708973

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

1
GFZ German Research Centre for Geosciences, Telegrafenberg, 14473 Potsdam, Germany
2
Institute of Earth and Environmental Sciences, Universität Potsdam, 14476 Potsdam, Germany
3
CAIAG Central Asian Institute for Applied Geosciences, Timur-Frunze str.73/2, Bishkek 720027, Kyrgyzstan
*
Author to whom correspondence should be addressed.
Academic Editors: Nicolas Baghdadi and Prasad S. Thenkabail
Received: 11 May 2015 / Revised: 25 June 2015 / Accepted: 7 July 2015 / Published: 16 July 2015
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Abstract

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. View Full-Text
Keywords: interferometric SAR (InSAR); small baseline subset (SBAS); time-series; ALOS/PALSAR; deep seated landslide; very slow moving landslide interferometric SAR (InSAR); small baseline subset (SBAS); time-series; ALOS/PALSAR; deep seated landslide; very slow moving landslide
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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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MDPI and ACS Style

Teshebaeva, K.; Roessner, S.; Echtler, H.; Motagh, M.; Wetzel, H.-U.; Molodbekov, B. ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan. Remote Sens. 2015, 7, 8973-8994.

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