Landslide susceptibility assessment along the Karakoram highway, Gilgit Baltistan, Pakistan: A comparative study between ensemble and neighbor-based machine learning algorithms
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Published:2024-06
Issue:
Volume:9
Page:100132
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ISSN:2666-0172
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Container-title:Science of Remote Sensing
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language:en
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Short-container-title:Science of Remote Sensing
Author:
Abbas Farkhanda,
Zhang Feng,
Hussain Muhammad Afaq,
Abbas Hasnain,
Alrefaei Abdulwahed FahadORCID,
Albeshr Muhammed Fahad,
Iqbal Javed,
Ghani Junaid,
Ismail shah
Funder
King Saud University
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2. Landslide susceptibility mapping: analysis of different feature selection techniques with artificial neural network tuned by bayesian and metaheuristic algorithms;Abbas;Rem. Sens.,2023
3. Optimizing machine learning algorithms for landslide susceptibility mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: a comparative study of baseline, bayesian, and metaheuristic hyperparameter optimization techniques;Abbas;Sensors,2023
4. Spatial modeling and susceptibility zonation of landslides using random forest, naïve bayes and K-nearest neighbor in a complicated terrain;Abu El-Magd;Earth Sci. Informat.,2021
5. Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan—by integration of GPS, GIS, and remote sensing technology;Akbar;Landslides,2011
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