GIS-based ensemble modelling of fuzzy system and bivariate statistics as a tool to improve the accuracy of landslide susceptibility mapping

Fuzzy System ◽

Susceptibility Mapping ◽

Bivariate Statistics ◽

Ensemble Modelling

Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability

Landslides ◽

10.1007/s10346-020-01392-9 ◽

2020 ◽

Vol 17 (8) ◽

pp. 1897-1914 ◽

Cited By ~ 5

Author(s):

Mariano Di Napoli ◽

Francesco Carotenuto ◽

Andrea Cevasco ◽

Pierluigi Confuorto ◽

Diego Di Martire ◽

...

Keyword(s):

Machine Learning ◽

Susceptibility Mapping ◽

Ensemble Modelling

GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations

CATENA ◽

10.1016/j.catena.2007.01.003 ◽

2008 ◽

Vol 72 (1) ◽

pp. 1-12 ◽

Cited By ~ 426

Author(s):

Ali Yalcin

Keyword(s):

Analytical Hierarchy Process ◽

Susceptibility Mapping ◽

Bivariate Statistics ◽

Hierarchy Process

A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey

CATENA ◽

10.1016/j.catena.2011.01.014 ◽

2011 ◽

Vol 85 (3) ◽

pp. 274-287 ◽

Cited By ~ 333

Author(s):

A. Yalcin ◽

S. Reis ◽

A.C. Aydinoglu ◽

T. Yomralioglu

Keyword(s):

Comparative Study ◽

Analytical Hierarchy Process ◽

Frequency Ratio ◽

Susceptibility Mapping ◽

Bivariate Statistics ◽

Regression Methods ◽

Logistics Regression ◽

Hierarchy Process

Comparison of bivariate and multivariate analyses for landslide susceptibility mapping in the Phlegraean district: the case study of Camaldoli hill (Napoli, Italy)

Rendiconti online della Società Geologica Italiana ◽

10.3301/rol.2015.61 ◽

2015 ◽

Vol 35 ◽

pp. 50-53 ◽

Cited By ~ 1

Author(s):

Maria Teresa Carratù ◽

Diego Di Martire ◽

Giovanni Francesco Finicelli ◽

Domenico Calcaterra

Keyword(s):

Multivariate Analyses ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping

LANDSLIDE SUSCEPTIBILITY MAPPING THROUGH WEIGHTAGES DERIVED FROM STATISTICAL INFORMATION VALUE MODEL

i-manager’s Journal on Pattern Recognition ◽

10.26634/jpr.4.4.14129 ◽

2018 ◽

Vol 4 (4) ◽

pp. 10

Author(s):

KUMAR A. ◽

KALITA R. ◽

SHARMA A. ◽

RANGA V. ◽

RAWAT J. S. ◽

...

Keyword(s):

Statistical Information ◽

Susceptibility Mapping ◽

Information Value ◽

Information Value Model ◽

Value Model

APPLICATION OF HIGH RESOLUTION DIGITAL ELEVATION MODELS FOR LANDSLIDE SUSCEPTIBILITY MAPPING IN THE URBAN GROWTH AREA OF URCUQUI, ECUADOR

10.1130/abs/2020am-359106 ◽

2020 ◽

Author(s):

Anderson Rivadeneira ◽

◽

Elisa Piispa ◽

Rafael Almeida ◽

Anna E. Foster

Keyword(s):

High Resolution ◽

Urban Growth ◽

Digital Elevation Models ◽

Susceptibility Mapping ◽

Growth Area ◽

Digital Elevation

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

The Science of The Total Environment ◽

10.1016/j.scitotenv.2019.02.263 ◽

2019 ◽

Vol 666 ◽

pp. 975-993 ◽

Cited By ~ 59

Author(s):

Yi Wang ◽

Zhice Fang ◽

Haoyuan Hong

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping

A Modelling Tool for Rainfall-triggered Landslide Susceptibility Mapping and Hazard Warning based on GIS and Machine Learning

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/783/1/012074 ◽

2021 ◽

Vol 783 (1) ◽

pp. 012074

Author(s):

Haiwei Zhou ◽

Jianjun Yu ◽

Hangjian Feng ◽

Jie Huang

Keyword(s):

Machine Learning ◽

Susceptibility Mapping ◽

Hazard Warning

A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping

Natural Hazards ◽

10.1007/s11069-021-04844-0 ◽

2021 ◽

Author(s):

Xin Wei ◽

Lulu Zhang ◽

Junyao Luo ◽

Dongsheng Liu

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Physical Model ◽

Susceptibility Mapping ◽

Hybrid Framework

Landslide susceptibility mapping by attentional factorization machines considering feature interactions

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2021.1950217 ◽

2021 ◽

Vol 12 (1) ◽

pp. 1837-1861

Author(s):

Lei-Lei Liu ◽

Can Yang ◽

Fa-Ming Huang ◽

Xiao-Mi Wang

Keyword(s):

Susceptibility Mapping ◽

Feature Interactions