Evaluating landslide hazards using RCP 4.5 and 8.5 scenarios

Karst collapse susceptibility mapping considering peak ground acceleration in a rapidly growing urban area

(2013) Kyriaki Papadopoulou-Vrynioti et al.   ENGINEERING GEOLOGY

Application of the revised universal soil loss equation model on landslide prevention. An example from N. Euboea (Evia) Island, Greece

(2013) Dimitrios Rozos et al.   Environmental Earth Sciences

How can statistical models help to determine driving factors of landslides?

(2012) Peter Vorpahl et al.   ECOLOGICAL MODELLING

Modelling urban growth evolution and land-use changes using GIS based cellular automata and SLEUTH models: the case of Sana’a metropolitan city, Yemen

(2012) Mohamed Al-shalabi et al.   Environmental Earth Sciences

Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study

(2012) Ángel M. Felicísimo et al.   Landslides

Assessment of rural community and agricultural development using geomorphological–geological factors and GIS in the Trikala prefecture (Central Greece)

(2012) George D. Bathrellos et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Robustness and uncertainties in the new CMIP5 climate model projections

(2012) Reto Knutti et al.   Nature Climate Change

Potential suitability for urban planning and industry development using natural hazard maps and geological–geomorphological parameters

(2011) George D. Bathrellos et al.   Environmental Earth Sciences

Comparison of the implementation of rock engineering system and analytic hierarchy process methods, upon landslide susceptibility mapping, using GIS: a case study from the Eastern Achaia County of Peloponnesus, Greece

(2010) D. Rozos et al.   Environmental Earth Sciences

Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

(2009) Biswajeet Pradhan et al.   Environmental Earth Sciences

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES

Landslide susceptibility mapping based on Support Vector Machine: A case study on natural slopes of Hong Kong, China

(2008) X. Yao et al.   GEOMORPHOLOGY