Landslide Susceptibility Mapping Using Gis-Based Weight-of-  Evidence Modelling in Central Georgian Regions

Stankevich, S. A.; Titarenko, O. V.; Svideniuk, M. O.

Please use this identifier to cite or link to this item: http://openlibrary.ge/handle/123456789/8668

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DC Field	Value	Language
dc.contributor.author	Stankevich, S. A.	en
dc.contributor.author	Titarenko, O. V.	en
dc.contributor.author	Svideniuk, M. O.	en
dc.date.accessioned	2020-01-02T16:57:50Z	-
dc.date.available	2020-01-02T16:57:50Z	-
dc.date.issued	2019	-
dc.identifier.citation	საერთაშორისო სამეცნიერო კონფერენცია “ბუნებრივი კატასტროფები საქართველოში: მონიტორინგი, პრევენცია, შედეგების შერბილება”. შრომები, ISBN 978-9941-13-899-7, ივ. ჯავახიშვილის სახ. თბილისის სახელმწიფო უნივერსიტეტის გამომცემლობა, თბილისი, საქართველო, 12–14 დეკემბერი, 2019 წ., გვ. 187-190.	ka_GE
dc.identifier.citation	International Scientific Conference “Natural Disasters in Georgia: Monitoring, Prevention, Mitigation”. Proceedings, ISBN 978-9941-13-899-7, Publish Hous of Iv. Javakhishvili Tbilisi State University, December 12-14, 2019, pp. 187-190.	en
dc.identifier.uri	http://openlibrary.ge/handle/123456789/8668	-
dc.description.abstract	This paper explains the procedure for the generation of a landslide susceptibility map at regional level in Georgia. At the first place, this research presents the results of the weight-of-evidence model applied to estimate the probability of landslides manifestation. A spatial database, including causative factors associated with landslides was constructed from geological maps and satellite data products. The factors that influence landslide occurrence, such as terrain slope, aspect, curvature, elevation, flow accumulation and distance from drainages were calculated from a Sentinel-1 digital terrain elevation data (DTED). Lithology is derived from the Georgia’s geological map. Vegetation cover map is retrieved from Sentinel-2 multispectral satellite imagery.	en
dc.language.iso	en	en
dc.subject	ბუნებრივი კატასტროფები საქართველოში	ka_GE
dc.subject	Natural Disasters in Georgia	en
dc.subject	landslide	en
dc.subject	weight-of-evidence	en
dc.subject	landslide hazard mapping	en
dc.subject	remote sensing	en
dc.subject	digital terrain elevation data	en
dc.title	Landslide Susceptibility Mapping Using Gis-Based Weight-of- Evidence Modelling in Central Georgian Regions	en
dc.type	Article	en
Appears in Collections:	საერთაშორისო სამეცნიერო კონფერენცია “ბუნებრივი კატასტროფები საქართველოში: მონიტორინგი, პრევენცია, შედეგების შერბილება” = International Scientific Conference “Natural Disasters in Georgia: Monitoring, Prevention, Mitigation ” (2019)

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