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A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm
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A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

Sun, Deliang ; Wen, Haijia ; Wang, Danzhou ; Xu, Jiahui

Geomorphology (Amsterdam, Netherlands), 2020-08, Vol.362, p.107201, Article 107201 [Periódico revisado por pares]

Elsevier B.V

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The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds
The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds
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The evaluation of unmanned aerial system-based photogrammetry and terrestrial laser scanning to generate DEMs of agricultural watersheds

Ouédraogo, Mohamar Moussa ; Degré, Aurore ; Debouche, Charles ; Lisein, Jonathan

Geomorphology (Amsterdam, Netherlands), 2014-06, Vol.214, p.339-355 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Rainfall thresholds for possible landslide occurrence in Italy
Rainfall thresholds for possible landslide occurrence in Italy
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Rainfall thresholds for possible landslide occurrence in Italy

Peruccacci, Silvia ; Brunetti, Maria Teresa ; Gariano, Stefano Luigi ; Melillo, Massimo ; Rossi, Mauro ; Guzzetti, Fausto

Geomorphology (Amsterdam, Netherlands), 2017-08, Vol.290, p.39-57 [Periódico revisado por pares]

Elsevier B.V

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4
Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion
Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion
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Evaluation of different machine learning models for predicting and mapping the susceptibility of gully erosion

Rahmati, Omid ; Tahmasebipour, Nasser ; Haghizadeh, Ali ; Pourghasemi, Hamid Reza ; Feizizadeh, Bakhtiar

Geomorphology (Amsterdam, Netherlands), 2017-12, Vol.298, p.118-137 [Periódico revisado por pares]

Elsevier B.V

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5
Scaling and design of landslide and debris-flow experiments
Scaling and design of landslide and debris-flow experiments
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Scaling and design of landslide and debris-flow experiments

Iverson, Richard M.

Geomorphology (Amsterdam, Netherlands), 2015-09, Vol.244, p.9-20 [Periódico revisado por pares]

Elsevier B.V

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6
Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models
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Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

Hong, Haoyuan ; Pourghasemi, Hamid Reza ; Pourtaghi, Zohre Sadat

Geomorphology (Amsterdam, Netherlands), 2016-04, Vol.259, p.105-118 [Periódico revisado por pares]

Elsevier B.V

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7
Prediction of spatially explicit rainfall intensity–duration thresholds for post-fire debris-flow generation in the western United States
Prediction of spatially explicit rainfall intensity–duration thresholds for post-fire debris-flow generation in the western United States
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Prediction of spatially explicit rainfall intensity–duration thresholds for post-fire debris-flow generation in the western United States

Staley, Dennis M. ; Negri, Jacquelyn A. ; Kean, Jason W. ; Laber, Jayme L. ; Tillery, Anne C. ; Youberg, Ann M.

Geomorphology (Amsterdam, Netherlands), 2017-02, Vol.278, p.149-162 [Periódico revisado por pares]

Elsevier B.V

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8
Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)
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Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

Trigila, Alessandro ; Iadanza, Carla ; Esposito, Carlo ; Scarascia-Mugnozza, Gabriele

Geomorphology (Amsterdam, Netherlands), 2015-11, Vol.249, p.119-136 [Periódico revisado por pares]

Elsevier B.V

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9
A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China
A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China
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A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

Hong, Haoyuan ; Ilia, Ioanna ; Tsangaratos, Paraskevas ; Chen, Wei ; Xu, Chong

Geomorphology (Amsterdam, Netherlands), 2017-08, Vol.290, p.1-16 [Periódico revisado por pares]

Elsevier B.V

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10
Model-based assessment soil loss by wind and water erosion in China's Loess Plateau: Dynamic change, conservation effectiveness, and strategies for sustainable restoration
Model-based assessment soil loss by wind and water erosion in China's Loess Plateau: Dynamic change, conservation effectiveness, and strategies for sustainable restoration
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Model-based assessment soil loss by wind and water erosion in China's Loess Plateau: Dynamic change, conservation effectiveness, and strategies for sustainable restoration

Jiang, Chong ; Zhang, Haiyan ; Zhang, Zhidong ; Wang, Dewang

Global and planetary change, 2019-01, Vol.172, p.396-413 [Periódico revisado por pares]

Elsevier B.V

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