Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-8822
Main Title: Evaluation of Remote-Sensing-Based Landslide Inventories for Hazard Assessment in Southern Kyrgyzstan
Author(s): Golovko, Darya
Roessner, Sigrid
Behling, Robert
Wetzel, Hans-Ulrich
Kleinschmit, Birgit
Type: Article
Language Code: en
Is Part Of: 10.14279/depositonce-8504
Abstract: Large areas in southern Kyrgyzstan are subjected to high and ongoing landslide activity; however, an objective and systematic assessment of landslide susceptibility at a regional level has not yet been conducted. In this paper, we investigate the contribution that remote sensing can provide to facilitate a quantitative landslide hazard assessment at a regional scale under the condition of data scarcity. We performed a landslide susceptibility and hazard assessment based on a multi-temporal landslide inventory that was derived from a 30-year time series of satellite remote sensing data using an automated identification approach. To evaluate the effect of the resulting inventory on the landslide susceptibility assessment, we calculated an alternative susceptibility model using a historical inventory that was derived by an expert through combining visual interpretation of remote sensing data with already existing knowledge on landslide activity in this region. For both susceptibility models, the same predisposing factors were used: geology, stream power index, absolute height, aspect and slope. A comparison of the two models revealed that using the multi-temporal landslide inventory covering the 30-year period results in model coefficients and susceptibility values that more strongly reflect the properties of the most recent landslide activity. Overall, both susceptibility maps present the highest susceptibility values for similar regions and are characterized by acceptable to high predictive performances. We conclude that the results of the automated landslide detection provide a suitable landslide inventory for a reliable large-area landslide susceptibility assessment. We also used the temporal information of the automatically detected multi-temporal landslide inventory to assess the temporal component of landslide hazard in the form of exceedance probability. The results show the great potential of satellite remote sensing for deriving detailed and systematic spatio-temporal information on landslide occurrences, which can significantly improve landslide susceptibility and hazard assessment at a regional scale, particularly in data-scarce regions such as Kyrgyzstan.
URI: https://depositonce.tu-berlin.de/handle/11303/9789
http://dx.doi.org/10.14279/depositonce-8822
Issue Date: 15-Sep-2017
Date Available: 14-Aug-2019
DDC Class: 550 Geowissenschaften
Subject(s): landslide hazard
automated landslide mapping
multi-temporal landslide inventory
southern Kyrgyzstan
Sponsor/Funder: BMBF, 03G0809, Verbundprojekt WTZ Zentralasien: TIPTIMON - Tien Shan - Pamir Monitoring Programm - Spätkänozoische Geodynamik, Klimainteraktionen und resultierende Risiken in Zentralasien
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Remote Sensing
Publisher: MDPI
Publisher Place: Basel
Volume: 9
Issue: 9
Article Number: 943
Publisher DOI: 10.3390/rs9090943
EISSN: 2072-4292
Appears in Collections:FG Geoinformation in der Umweltplanung » Publications

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