Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS
By Jaewon Choi, Hyun-Joo Oh, Hong-Jin Lee, Chang-Wook Lee, Saro Lee. 2012
303 citations recorded by the source corpus.
Subfields: Atmospheric Science, Management, Monitoring, Policy and Law, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/d744d18637a14613faae364ab50c8313217b9a5c
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In Atmospheric Science
- Binh Thai Pham
- Qiqing Wang
- Zhou Zhao
- D. Tien Bui
- Haoyuan Hong
- Hamid Reza Pourghasemi
- Wei Chen
- Baharin bin Ahmad
In Management, Monitoring, Policy and Law
- Binh Thai Pham
- D. Tien Bui
- Himan Shahabi
- Wei Chen
- Baharin bin Ahmad
- Hamid Reza Pourghasemi
- Haoyuan Hong
- M. Dholakia
In Mechanical Engineering
- Binh Thai Pham
- D. Tien Bui
- Hamid Reza Pourghasemi
- Himan Shahabi
- Wei Chen
- Huichan Chai
- M. Dholakia
- Christos Chalkias
Citations in the corpus
- Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China (2016, methodology): “…susceptibility mapping (Solaimani et al. 2013; Lee and Pradhan 2007; Akgun 2012; Bai et al. 2010; Ozdemir and Altural 2013; Pradhan and Lee 2010; Choi et al. 2012; Devkota et al. 2013; Yilmaz 2010b; Park et al. 2013; Raman and Punia 2012; Mihaela et al. 2011; Yalcin et al. 2011; Youssef et al.…”
- Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area (2019, background): “Values greater than 1 indicate positive correlation, whereas values less than 1 indicate negative correlation (Choi et al. 2012).”
- Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods (2017, background): “…of evidence (Kayastha et al. 2012; Mohammady et al. 2012; Ozdemir and Altural 2013; Pourghasemi et al. 2013b; Regmi et al. 2014), frequency ratio (Choi et al. 2012; Shahabi et al. 2014; Yalcin et al. 2011), logistic regression (Bai et al. 2011; Conoscenti et al. 2014; Das et al. 2010;…”
- Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran (2015, background): “…et al. 2012; Pradhan and Lee 2009; Saboya et al. 2006) and artificial neural network models (Biswajeet and Saro 2007; Chauhan et al. 2010; Choi et al. 2012; Conforti et al. 2014; Ermini et al. 2005; Gomez and Kavzoglu 2005; Kawabata and Bandibas 2009; Nefeslioglu et al. 2008; Pradhan and…”