Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

A Trigila, C Iadanza, C Esposito… - Geomorphology, 2015 - Elsevier
The aim of this work is to define reliable susceptibility models for shallow landslides using
Logistic Regression and Random Forests multivariate statistical techniques. The study area …

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

D Tien Bui, TC Ho, B Pradhan, BT Pham… - Environmental Earth …, 2016 - Springer
The main objective of this study is to propose and verify a novel ensemble methodology that
could improve prediction performances of landslide susceptibility models. The proposed …

Landslide susceptibility assessment in vietnam using support vector machines, decision tree, and Naive Bayes Models

D Tien Bui, B Pradhan, O Lofman… - Mathematical problems …, 2012 - Wiley Online Library
The objective of this study is to investigate and compare the results of three data mining
approaches, the support vector machines (SVM), decision tree (DT), and Naïve Bayes (NB) …

Landslide susceptibility assessment in the Hoa Binh province of Vietnam: a comparison of the Levenberg–Marquardt and Bayesian regularized neural networks

DT Bui, B Pradhan, O Lofman, I Revhaug, OB Dick - Geomorphology, 2012 - Elsevier
This study investigates the potential application of artificial neural networks in landslide
susceptibility mapping in the Hoa Binh province of Vietnam. A landslide inventory map of the …

Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: a case of the Belice River basin (western …

C Conoscenti, M Ciaccio, NA Caraballo-Arias… - Geomorphology, 2015 - Elsevier
In this paper, terrain susceptibility to earth-flow occurrence was evaluated by using
geographic information systems (GIS) and two statistical methods: Logistic regression (LR) …

Erosion processes in calanchi in the Upper Orcia Valley, Southern Tuscany, Italy based on multitemporal high-resolution terrestrial LiDAR and UAV surveys

F Neugirg, M Stark, A Kaiser, M Vlacilova, M Della Seta… - Geomorphology, 2016 - Elsevier
Abstract A 125,000 m 2 calanchi badland in the Province of Siena (Tuscany) was monitored
with an unmanned aerial vehicle (UAV) and terrestrial laser scanning over the period of one …

Exploring the effect of absence selection on landslide susceptibility models: a case study in Sicily, Italy

C Conoscenti, E Rotigliano, M Cama… - Geomorphology, 2016 - Elsevier
A statistical approach was employed to model the spatial distribution of rainfall-triggered
landslides in two areas in Sicily (Italy) that occurred during the winter of 2004–2005. The …

Hillslope degradation in representative Italian areas: Just soil erosion risk or opportunity for development?

P Brandolini, G Pepe, D Capolongo… - Land Degradation & …, 2018 - Wiley Online Library
In recent years, much research have dealt with the impact of human and climate change on
the morpho‐evolution of Mediterranean catchments characterized by high ecological and …

Water erosion susceptibility mapping by applying stochastic gradient treeboost to the Imera Meridionale river basin (Sicily, Italy)

SE Angileri, C Conoscenti, V Hochschild, M Märker… - Geomorphology, 2016 - Elsevier
Soil erosion by water constitutes a serious problem affecting various countries. In the last
few years, a number of studies have adopted statistical approaches for erosion susceptibility …

[HTML][HTML] The slope aspect: A predisposing factor for landsliding?

M Capitani, A Ribolini, M Bini - Comptes Rendus Geoscience, 2013 - Elsevier
The influence of slope aspect on the distribution of landslides was studied in the Milia and
Roglio basins in Tuscany, Italy. For each basin, the new Tuscany region landslide inventory …