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2014 | OriginalPaper | Buchkapitel

https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-05050-8_123/MediaObjects/319773_1_En_123_Figa_HTML.gif GIS-Based Integration of Heterogeneous Data for a Multi-temporal Landslide Inventory

verfasst von : Darya Golovko, Sigrid Roessner, Robert Behling, Hans-Ulrich Wetzel, Hermann Kaufmann

Erschienen in: Landslide Science for a Safer Geoenvironment

Verlag: Springer International Publishing

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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.

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Literatur
Zurück zum Zitat 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, 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)
Zurück zum Zitat 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 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
Zurück zum Zitat 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 31:181–216CrossRef 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 31:181–216CrossRef
Zurück zum Zitat Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299CrossRef Guzzetti F, Reichenbach P, Cardinali M, Galli M, Ardizzone F (2005) Probabilistic landslide hazard assessment at the basin scale. Geomorphology 72:272–299CrossRef
Zurück zum Zitat 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):42–66CrossRef 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):42–66CrossRef
Zurück zum Zitat Ibatulin KV (2011) Monitoring of landslides in Kyrgyzstan. Ministry of Emergency Situations of the Kyrgyz Republic, Bishkek, 145p (in Russian) Ibatulin KV (2011) Monitoring of landslides in Kyrgyzstan. Ministry of Emergency Situations of the Kyrgyz Republic, Bishkek, 145p (in Russian)
Zurück zum Zitat 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):395–416CrossRef 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):395–416CrossRef
Zurück zum Zitat 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 71:302–321CrossRef 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 71:302–321CrossRef
Zurück zum Zitat 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 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
Metadaten
Titel
GIS-Based Integration of Heterogeneous Data for a Multi-temporal Landslide Inventory
verfasst von
Darya Golovko
Sigrid Roessner
Robert Behling
Hans-Ulrich Wetzel
Hermann Kaufmann
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-05050-8_123