An objective method to rank the importance of the factors predisposing to landslides with the GIS methodology: application to an area of the Apennines (Valnerina; Perugia, Italy)
By L. Donati, M. Turrini. 2002
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Biswajeet Pradhan
- Saro Lee
- Hamid Reza Pourghasemi
- Wei Chen
- Manfred F. Buchroithner
- M. Ercanoglu
- Qiqing Wang
- Binh Thai Pham
Citations in the corpus
- Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models (2007, background): “Recently, there were studies on landslide hazard evaluation using GIS, and many of these studies have applied probabilistic methods (Rowbotham and Dudycha 1998; Guzzetti et al. 1999; Jibson et al. 2000; Luzi et al. 2000; Parise and Jibson 2000; Rautelal and Lakhera 2000; Baeza and Corominas 2001; Le”
- Physical and Anthropogenic Factors Related to Landslide Activity in the Northern Peloponnese, Greece (2018, background): “Different lithological units have different engineering geological behaviors and they are very important in providing data for landslide-related factors studies [3,36,39,40].”
- Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia (2010, background): “Baeza and Corominas 2001; Lee and Min 2001; Temesgen et al. 2001; Donati and Turrini 2002; Lee et al. 2002a, b, 2004a; Zhou et al. 2002; Lee and Choi 2003; Lee and Talib 2005; Lee and Dan 2005; Lee and Lee 2006; Pradhan et al. 2006; Lee and Pradhan 2006, 2007).”
- Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data (2005, background): “…(Rowbotham and Dudycha 1998, Jibson et al. 2000, Luzi et al. 2000, Parise and Jibson 2000, Rautelal and Lakhera 2000, Baeza and Corominas 2001, Lee and Min 2001, Temesgen et al. 2001, Clerici et al. 2002, Donati and Turrini 2002, Lee et al. 2002a, b, 2004a, Zhou et al. 2002, Lee and Choi 2003).”
- Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping (2009, background): “Recently, there have been studies on landslidehazard evaluation using GIS, and many of these studies have applied probabilistic models (Akgun et al. 2007; Dahal et al. 2007; Clerici et al. 2006; Cevik and Topal 2003; Rowbotham and Dudycha 1998 ;J ibson et al.2000; Luzi et al. 2000; Parise and Jibson”
- Use of fuzzy relations to produce landslide susceptibility map of a landslide prone area (West Black Sea Region, Turkey) (2004, background): “As a result, the researchers have used different distances with respect to the closeness to the structural elements in the literature (Choubey and Litoria, 1990; Van Westen and Bonilla, 1990; Mehrotra et al., 1991; Anbalagan, 1992; Pachauri and Pant, 1992; Maharaj, 1993; Mejia-Navarro and Wohl, 1994”
- GIS-based logistic regression method for landslide susceptibility mapping in regional scale * (2006, background): “Distance from direct faults and the thrusts faults are also main causative reasons for landslides in that the presence of these tectonic structures breaks the rock mass reducing its strength (Donati and Turrini, 2002).”