GIS Methods and Multi-Temporal Remote Sensing Data for Improved Landslide Hazard Mapping in Southern Kyrgyzstan.

Main Article Content

D. Golovko
R. Behling
H.U. Wetzel
S. Roessner

Abstract

In Southern Kyrgyzstan, large landslides frequently occur with a high potential for endangering human lives and infrastructure. Landslides are especially concentrated along the eastern rim of the Fergana basin, which represents an important human living space in this mountainous country. The relationships between landslide occurrence and predisposing and triggering factors have not been completely understood yet. An objective and comprehensive landslide inventory is a prerequisite for these analyses. The paper shows how the use of multi-temporal remote sensing data combined with landslide information from other sources allows to create a multi-temporal landslide inventory for the data-scarce study area in Southern Kyrgyzstan. The application of GIS methods enables an efficient data integration and access as well as automated derivation of landslide attributes.

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How to Cite
Golovko, D., Behling, R., Wetzel, H., & Roessner, S. (2015). GIS Methods and Multi-Temporal Remote Sensing Data for Improved Landslide Hazard Mapping in Southern Kyrgyzstan. International Journal of Geoinformatics, 11(4). Retrieved from https://journals.sfu.ca/ijg/index.php/journal/article/view/907
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Articles
Author Biography

D. Golovko, GFZ German Research Centre for Geosciences Potsdam, Section 1.4 – Remote Sensing, Germany

GFZ German Research Centre for Geosciences Potsdam, Section 1.4 – Remote Sensing.