An integrated approach for landslide susceptibility mapping by considering spatial correlation and fractal distribution of clustered landslide data

Integrated Approach ◽

Susceptibility Mapping ◽

Fractal Distribution ◽

Landslide Data

Landslide susceptibility mapping using integrated approach of multi-criteria and geospatial techniques at Nilgiris district of India

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07341-7 ◽

2021 ◽

Vol 14 (11) ◽

Author(s):

Brototi Biswas ◽

Vignesh K.S ◽

Rajeev Ranjan

Keyword(s):

Integrated Approach ◽

Susceptibility Mapping ◽

Geospatial Techniques

An Integrated Approach for Landslide Susceptibility Mapping Using Remote Sensing and GIS

Photogrammetric Engineering & Remote Sensing ◽

10.14358/pers.70.5.617 ◽

2004 ◽

Vol 70 (5) ◽

pp. 617-625 ◽

Cited By ~ 169

Author(s):

S. Sarkar ◽

D.P. Kanungo

Keyword(s):

Remote Sensing ◽

Integrated Approach ◽

Remote Sensing And Gis ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping

Landslide susceptibility mapping: an integrated approach using knowledge-based numerical rating scheme, remote sensing, and multiple overlay analysis

Journal of Applied Remote Sensing ◽

10.1117/1.jrs.16.014503 ◽

2022 ◽

Vol 16 (01) ◽

Author(s):

Litesh Bopche ◽

Priti P. Rege ◽

Radhika D. Joshi

Keyword(s):

Remote Sensing ◽

Integrated Approach ◽

Susceptibility Mapping ◽

Overlay Analysis ◽

Knowledge Based ◽

Numerical Rating ◽

Rating Scheme

National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

Geoscience Frontiers ◽

10.1016/j.gsf.2021.101248 ◽

2021 ◽

pp. 101248

Author(s):

Qigen Lin ◽

Pedro Lima ◽

Stefan Steger ◽

Thomas Glade ◽

Tong Jiang ◽

...

Keyword(s):

Susceptibility Mapping ◽

Data Driven ◽

National Scale ◽

Scale Data ◽

Landslide Data

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