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Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
The purpose of this study is to compare the landslide susceptibility mapping methods of frequency ratio (FR), logistic regression and artificial neural networks (ANN) applied in the Kat County (Tokat-Turkey). Digital ...
Utilization of an underground mining evaluation map incorporating the effect of landslides and surface flooding for land-use purpose
(SPRINGER HEIDELBERG, 2014)
A number of problems related to land use and foundations of new structures are encountered in underground mining areas. Potential suitability and/or unsuitability of lands for new structures must be considered in areas ...
Landslide hazard and risk assessment: a case study from the Hlohovec-Sered' landslide area in south-west Slovakia
(SPRINGER, 2012)
Landslide hazard or susceptibility assessment is based on the selection of relevant factors which play a role on the slope instability, and it is assumed that landslides will occur at similar conditions to those in the ...
A small-scale landslide susceptibility assessment for the territory of Western Carpathians
(SPRINGER, 2013)
This study presented herein compares the bivariate and multivariate landslide susceptibility mapping methods and presents the landslide susceptibility map of the territory of Western Carpathians in small scale. This study ...
A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks
(SPRINGER HEIDELBERG, 2009)
A case study for the use of an artificial neural network (ANN) model for landslide susceptibility mapping in Koyulhisar (Sivas-Turkey) is presented. Digital elevation model (DEM) was first constructed using ArcGIS software. ...
GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey)
(SPRINGER HEIDELBERG, 2009)
The case study presents GIS-aided statistically and physically based landslide susceptibility mapping in the landslide-prone Avutmus district of Sebinkarahisar (Giresun, Turkey). Field investigations, analysis of geological ...
Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
(SPRINGER, 2010)
This case study presented herein compares the GIS-based landslide susceptibility mapping methods such as conditional probability (CP), logistic regression (LR), artificial neural networks (ANNs) and support vector machine ...
The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks
(SPRINGER, 2010)
This study presented herein compares the effect of the sampling strategies by means of landslide inventory on the landslide susceptibility mapping. The conditional probability (CP) and artificial neural networks (ANN) ...
