Abstract
Southern Kyrgyzstan is a region of high landslide activity that frequently endangers human lives and infrastructure. So far, precise spatio-temporal information on landslide activity has been limited, although landslide occurrence in this area has been investigated for the last 60 years by local authorities. The establishment of a comprehensive landslide inventory is a prerequisite for carrying out objective landslide hazard assessment. For this purpose, multiple sources of information about slope failures are analyzed with the goal of establishing a spatially and temporally consistent multi-temporal landslide inventory at a regional scale. In this context, the potential of satellite remote sensing and GIS based analysis is investigated. The paper describes the developed approach for multi-source landslide mapping and demonstrates its application to the Budalyk valley test site.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Behling R, Roessner S, Segl K, Rogass C, Wetzel HU, Kaufmann H (2012) Automated geometric co-registration of multi-temporal satellite remote sensing data for landslide inventories. In: Proceedings of the 4th RESA workshop, 21–22 March 2012. Neustrelitz, Germany, pp 35–50 (in German)
Behling R, Roessner S, Segl K, Kaufmann H (2013) Automated landslide detection using multi-temporal RapidEye data. In: Proceedings of the 5th RESA workshop, 20–21 March 2013. Neustrelitz, Germany, pp 241–257
Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216
Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299
Guzzetti F, Mondini AC, Cardinali M, Fiorucci F, Santangelo M, Chang K (2012) Landslide inventory maps: new tools for an old problem. Earth Sci Rev 112(1–2):42–66
Ibatulin KV (2011) Monitoring of landslides in Kyrgyzstan. Ministry of Emergency Situations of the Kyrgyz Republic, Bishkek, 145p (in Russian)
Roessner S, Wetzel HU, Kaufmann H, Sarnagoev A (2005) Potential of satellite remote sensing and GIS for landslide hazard assessment in Southern Kyrgyzstan (Central Asia). Nat Hazards 35(3):395–416
Süzen ML, Doyuran V (2004) Data driven bivariate landslide susceptibility assessment using geographical information systems: a method and application to Asarsuyu catchment, Turkey. Eng Geol 71:302–321
Wetzel HU, Roessner S, Sarnagoev A (2000) Remote sensing and GIS based geological mapping for assessment of landslide hazard in Southern Kyrgyzstan (Central Asia). In: Brebbia CA, Pascolo P (eds) Management information systems 2000 – GIS and remote sensing. WIT-Press, pp 355–366
Acknowledgments
Research presented in this paper has been funded by the German Ministry of Research and Technology (BMBF) as a part of the Tienshan—Pamir Monitoring Program (TIPTIMON) and PROGRESS project.
We kindly thank our colleagues from the Ministry of Emergency Situations of Kyrgyzstan Kh. V. Ibatulin and A.K. Sarnagoev for providing information on landslide failures in the region and joint field work.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Golovko, D., Roessner, S., Behling, R., Wetzel, HU., Kaufmann, H. (2014).
GIS-Based Integration of Heterogeneous Data for a Multi-temporal Landslide Inventory.
In: Sassa, K., Canuti, P., Yin, Y. (eds) Landslide Science for a Safer Geoenvironment. Springer, Cham. https://doi.org/10.1007/978-3-319-05050-8_123
Download citation
DOI: https://doi.org/10.1007/978-3-319-05050-8_123
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05049-2
Online ISBN: 978-3-319-05050-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)