Hybridizing genetic random forest and self-attention based CNN-LSTM algorithms for landslide susceptibility mapping in Darjiling and Kurseong, India
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Published:2024-06
Issue:
Volume:14
Page:100187
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ISSN:2666-0334
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Container-title:Quaternary Science Advances
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language:en
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Short-container-title:Quaternary Science Advances
Author:
Moghimi ArminORCID,
Singha Chiranjit,
Fathi Mahdiyeh,
Pirasteh Saied,
Mohammadzadeh Ali,
Varshosaz Masood,
Huang Jian,
Li Huxiong
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3. Usage of antecedent soil moisture for improving the performance of rainfall thresholds for landslide early warning;Abraham;Catena,2021
4. Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia;Aditian;Geomorphology,2018
5. Landslide susceptibility mapping using machine learning: a Danish case study;Ageenko;ISPRS Int. J. Geo-Inf.,2022
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