Landslide susceptibility mapping of Kalimpong in Eastern Himalayan Region using a Rprop ANN approach

Roy, Pamir; Ghosal, Kaushik; Paul, Prabir Kumar

doi:10.1007/s12040-022-01877-2

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2023

2024

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Cited by 8 publications

(1 citation statement)

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“…The ANN approach is used to generate a landslide model (Roy et al, 2022;Selamat et al, 2022). The training dataset is used to calculate the weights and to build the landslide model.…”

Section: The Performance Of Annmentioning

confidence: 99%

Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network

Taryana,

Hartono,

Arinta

et al. 2023

EREM

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Landslide is one of the disasters that often occurs in Indonesia in the East Java Province, especially in Bendungan District, Trenggalek Regency. Analysis of landslide susceptibility in Bendungan District is needed to spatially locate the landslide occurrences. The purpose of this study was to predict landslide events using an artificial neural network. Rainfall, topography, physical soil properties, and land-use were used as the explanatory variables. An analytic hierarchy process approach was applied to determine the weight of the variables. The model satisfactorily classified the landslide hazards with an area under curve of 0.96. The northwest area of the Bendungan District was found to be a region at high risk with rainfall and soil texture as the most influential parts in triggering the landslides.

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“…The ANN approach is used to generate a landslide model (Roy et al, 2022;Selamat et al, 2022). The training dataset is used to calculate the weights and to build the landslide model.…”

Section: The Performance Of Annmentioning

confidence: 99%

Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network

Taryana,

Hartono,

Arinta

et al. 2023

EREM

View full text Add to dashboard Cite

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Exploring the Potentials of Community Participation in Landslide Risk Reduction: A Case Study of Dumsi Pakha in the District of Kalimpong, West Bengal

Bhutia

2024

Disaster Risk Reduction

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Prophetical Modeling Using Limit Equilibrium Method and Novel Machine Learning Ensemble for Slope Stability Gauging in Kalimpong

Bansal

Sarkar

2023

Iran J Sci Technol Trans Civ Eng

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Landslide susceptibility mapping of Kalimpong in Eastern Himalayan Region using a Rprop ANN approach

Cited by 8 publications

References 54 publications

Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network

Landslide Movement of Bendungan District Trenggalek Using an Artificial Neural Network

Exploring the Potentials of Community Participation in Landslide Risk Reduction: A Case Study of Dumsi Pakha in the District of Kalimpong, West Bengal

Prophetical Modeling Using Limit Equilibrium Method and Novel Machine Learning Ensemble for Slope Stability Gauging in Kalimpong

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