Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

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A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment (2018, background): “In recent decades, it has been proven feasible and effective to use GIS and remote sensing technologies to assess landslide susceptibility modelling (Shahabi et al. 2015; Pirasteh and Li 2016; Pirasteh and Li 2017; Pirasteh et al. 2017).”
A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping (2017, background): “The presence of dense green vegetation implies high NDVI values (Pradhan & Lee, 2010; Shahabi et al., 2015).”
Integration of interval rough AHP and fuzzy logic for assessment of flood prone areas at the regional scale (2020, background): “These membership functions are generally selected based on the priorities of decision makers in the field of study (Shahabi et al. 2015).”
Application of statistical index and index of entropy methods to landslide susceptibility assessment in Gongliu (Xinjiang, China) (2016, background): “…and database construction The landslide inventory map, providing information for the assessment of the influence of different causative factors on landslide occurrence, is essential for the landslide susceptibility analysis (Ozdemir and Altural 2013; Jaafari et al. 2014; Shahabi et al. 2015).”