Landslide susceptibility mapping using GIS and digital photogrammetric techniques: A case study from Ardesen (NE-Turkey)

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dc.contributor.authorYalçın, Ali
dc.contributor.authorBulut, Fikri
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:24:31Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:24:31Z
dc.date.issued2007
dc.departmentMühendislik Fakültesi
dc.description.abstractArdesen is a settlement area which has been significantly damaged by frequent landslides which are caused by severe rainfalls and result in many casualties. In this study a landslide susceptibility map of Ardesen was prepared using the Analytical Hierarchy Process (AHP) with the help of Geographical Information Systems (GIS) and Digital Photogrametry Techniques (DPT). A landslide inventory, lithology-weathering, slope, aspect, land cover, shear strength, distance to the river, stream density and distance to the road thematics data layers were used to create the map. These layer maps are produced using field, laboratory and office studies, and by the use of GIS and DPT. The landslide inventory map is also required to determine the relationship between these maps and landslides using DPT. In the study field in the Hemsindere Formation there are units that have different weathering classes, and this significantly affects the shear strength of the soil. In this study, shear strength values are calculated in great detail with field and laboratory studies and an additional layer is evaluated with the help of the stability studies used to produce the landslide susceptibility map. Finally, an overlay analysis is carried out by evaluating the layers obtained according to their weight, and the landslide susceptibility map is produced. The study area was classified into five classes of relative landslide susceptibility, namely, very low, low, moderate, high, and very high. Based on this analysis, the area and percentage distribution of landslide susceptibility degrees were calculated and it was found that 28% of the region is under the threat of landslides. Furthermore, the landslide susceptibility map and the landslide inventory map were compared to determine whether the models produced are compatible with the real situation resulting in compatibility rate of 84%. The total numbers of dwellings in the study area were determined one by one using aerial photos and it was found that 30% of the houses, with a total occupancy of approximately 2,300 people, have a high or very high risk of being affected by landslides. © Springer Science+Business Media B.V. 2006.
dc.identifier.doi10.1007/s11069-006-9030-0
dc.identifier.endpage226en_US
dc.identifier.issn0921-030X
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage201en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s11069-006-9030-0
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2931
dc.identifier.volume41en_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofNatural Hazards
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAnalytical Hierarchy process (AHP)
dc.subjectDigital Photogrammetric Techniques (DPT)
dc.subjectGeographical İnformation Systems (GIS)
dc.subjectLandslide Susceptibility Mapping
dc.subjectLithology-Weathering
dc.subjectShear Strength
dc.titleLandslide susceptibility mapping using GIS and digital photogrammetric techniques: A case study from Ardesen (NE-Turkey)
dc.typeArticle

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