The 17 March 2005 Kuzulu landslide (Sivas, Turkey) and landslide-susceptibility map of its near vicinity

By Candan Gokceoglu, H. Sonmez, Hakan Ahmet Nefeslioglu, T. Duman, Tolga Can. 2005

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Citations in the corpus

Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS (2017, background): “TWI represents the effect of topography on runoff generation and the amount of ﬂ ow accumulation at any location in the river catchment (Gokceoglu et al. 2005), as shown in Figure 4(f).”
Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (2014, methodology): “TWI is widely used in shallow landslide susceptibility mapping (Gokceoglu et al. 2005; Gómez and Kavzoglu 2005; Yilmaz 2009).”
A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM) (2016, background): “…et al., 2000; Fernández et al., 2003; Santacana et al., 2003; Ayalew et al., 2004; Lee, 2004; Melelli and Taramelli, 2004; Suzen and Doyuran, 2004; Gokceoglu et al., 2005; Akgun and Bulut, 2007) take aspect into consideration as a factor controlling the landslides while the others (e.g. van…”
An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm (2012, background): “Contents lists available at ScienceDirect Computers & Geosciences 0098-30 doi:10.1 $Cod n Corr E-m Pleas using journal homepage: www.elsevier.com/locate/cageo An easy-to-use MATLAB program (MamLand) for the assessment of landslide susceptibility using a Mamdani fuzzy algorithm$ A. Akgun a, E.A. Seze”