Huang, Faming; Yang, Yang; Jiang, Bingchen; Chang, Zhilu; Zhou, Chuangbing; Jiang, Shui-Hua; Huang, Jinsong; Catani, Filippo; Yu, Changshi (2025) Effects of different division methods of landslide susceptibility levels on regional landslide susceptibility mapping. Bulletin of Engineering Geology and the Environment, 84 (6). doi:10.1007/s10064-025-04281-4

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

	Achour, Yacine, Pourghasemi, Hamid Reza (2020) How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?. Geoscience Frontiers, 11 (3) 871-883 doi:10.1016/j.gsf.2019.10.001
	Ahmed, Bayes, Rahman, Md., Islam, Rahenul, Sammonds, Peter, Zhou, Chao, Uddin, Kabir, Al-Hussaini, Tahmeed (2018) Developing a Dynamic Web-GIS Based Landslide Early Warning System for the Chittagong Metropolitan Area, Bangladesh. ISPRS International Journal of Geo-Information, 7. 485pp. doi:10.3390/ijgi7120485
	Ali, Sk Ajim, Parvin, Farhana, Vojteková, Jana, Costache, Romulus, Linh, Nguyen Thi Thuy, Pham, Quoc Bao, Vojtek, Matej, Gigović, Ljubomir, Ahmad, Ateeque, Ghorbani, Mohammad Ali (2021) GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms. Geoscience Frontiers, 12 (2) 857-876 doi:10.1016/j.gsf.2020.09.004
	Ayalew, Lulseged, Yamagishi, Hiromitsu (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 65 (1) 15-31 doi:10.1016/j.geomorph.2004.06.010
	Bui, Dieu Tien, Tsangaratos, Paraskevas, Nguyen, Viet-Tien, Liem, Ngo Van, Trinh, Phan Trong (2020) Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment. CATENA, 188. 104426 doi:10.1016/j.catena.2019.104426
	Not Yet Imported: Landslides - journal-article : 10.1007/s10346-018-1063-4 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Chang, Zhilu, Catani, Filippo, Huang, Faming, Liu, Gengzhe, Meena, Sansar Raj, Huang, Jinsong, Zhou, Chuangbing (2023) Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors. Journal of Rock Mechanics and Geotechnical Engineering, 15 (5) 1127-1143 doi:10.1016/j.jrmge.2022.07.009
	Not Yet Imported: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing - journal-article : 10.1109/jstars.2024.3351873 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Chen, Wei, Panahi, Mahdi, Tsangaratos, Paraskevas, Shahabi, Himan, Ilia, Ioanna, Panahi, Somayeh, Li, Shaojun, Jaafari, Abolfazl, Ahmad, Baharin Bin (2019) Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility. CATENA, 172. 212-231 doi:10.1016/j.catena.2018.08.025
	Chen, Wei, Peng, Jianbing, Hong, Haoyuan, Shahabi, Himan, Pradhan, Biswajeet, Liu, Junzhi, Zhu, A-Xing, Pei, Xiangjun, Duan, Zhao (2018) Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. Science of The Total Environment, 626. 1121-1135 doi:10.1016/j.scitotenv.2018.01.124
	Chen, Wei, Yang, Zifan (2023) Landslide susceptibility modeling using bivariate statistical-based logistic regression, naïve Bayes, and alternating decision tree models. Bulletin of Engineering Geology and the Environment, 82 (5) doi:10.1007/s10064-023-03216-1
	Chen, Zhuo, Song, Danqing (2023) Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms. International Journal of Digital Earth, 16 (1) 3384-3416 doi:10.1080/17538947.2023.2249863
	De Reu, Jeroen, Bourgeois, Jean, Bats, Machteld, Zwertvaegher, Ann, Gelorini, Vanessa, De Smedt, Philippe, Chu, Wei, Antrop, Marc, De Maeyer, Philippe, Finke, Peter, Van Meirvenne, Marc, Verniers, Jacques, Crombé, Philippe (2013) Application of the topographic position index to heterogeneous landscapes. Geomorphology, 186. 39-49 doi:10.1016/j.geomorph.2012.12.015
	Not Yet Imported: - journal-article : 10.1016/j.rockmb.2023.100056 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Du, Juan, Glade, Thomas, Woldai, Tsehaie, Chai, Bo, Zeng, Bin (2020) Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas. Engineering Geology, 270. 105572pp. doi:10.1016/j.enggeo.2020.105572
	Feng, Liye, Qi, Wenwen, Xu, Chong, Yang, Wentao, Yang, Zhiqiang, Xiao, Zikang, Chen, Zhaoning, Li, Tao, Shao, Xiaoyi, Gao, Huiran, et al. (2024) Landslide Research from the Perspectives of Qinling Mountains in China: A Critical Review. Journal of Earth Science, 35 (5). doi:10.1007/s12583-023-1935-9
	Guo, Zizheng, Shi, Yu, Huang, Faming, Fan, Xuanmei, Huang, Jinsong (2021) Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management. Geoscience Frontiers, 12 (6) 101249pp. doi:10.1016/j.gsf.2021.101249
	Not Yet Imported: Lecture Notes in Computer Science - book-chapter : 10.1007/11538059_91 If you would like this item imported into the Digital Library, please contact us quoting Book ID 9783540282266
	He R, Zhang WG, Dou J et al (2024) Application of artificial intelligence in three aspects of landslide risk assessment: a comprehensive review. Rock Mechanics Bull 3(4):100144. https://doi.org/10.1016/j.rockmb.2024.100144
	Hu, Qiao, Zhou, Yi, Wang, Shixing, Wang, Futao (2020) Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin. Geomorphology, 351. 106975 doi:10.1016/j.geomorph.2019.106975
	Not Yet Imported: - journal-article : 10.1007/s40789-024-00678-w If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Huang, Faming, Liu, Keji, Jiang, Shuihua, Catani, Filippo, Liu, Weiping, Fan, Xuanmei, Huang, Jinsong (2025) Optimization method of conditioning factors selection and combination for landslide susceptibility prediction. Journal of Rock Mechanics and Geotechnical Engineering, 17 (2). doi:10.1016/j.jrmge.2024.04.029
	Not Yet Imported: - journal-article : 10.1007/s40789-023-00579-4 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Huang, Faming, Li, Ronghui, Catani, Filippo, Zhou, Xiaoting, Zeng, Ziqiang, Huang, Jinsong (2024) Uncertainties in landslide susceptibility prediction: Influence rule of different levels of errors in landslide spatial position. Journal of Rock Mechanics and Geotechnical Engineering, 16 (10). doi:10.1016/j.jrmge.2024.02.001
	Huang, Faming, Liu, Keji, Li, Zhiyong, Zhou, Xiaoting, Zeng, Ziqiang, Li, Wenbin, Huang, Jinsong, Catani, Filippo, Chang, Zhilu (2024) Single landslide risk assessment considering rainfall‐induced landslide hazard and the vulnerability of disaster‐bearing body. Geological Journal, 59 (9). doi:10.1002/gj.4976
	Huang FM, Mao DX, Jiang SH et al (2024e) Uncertainties in landslide susceptibility prediction modeling: a review on the incompleteness of landslide inventory and its influence rules. Geosci Front 15(6):101886. https://doi.org/10.1016/j.gsf.2024.1018861674-9871
	Huang, Yu, Zhao, Lu (2018) Review on landslide susceptibility mapping using support vector machines. CATENA, 165. 520-529 doi:10.1016/j.catena.2018.03.003
	Jiang, Yuhang, Wang, Wei, Zou, Lifang, Cao, Yajun (2024) Regional landslide susceptibility assessment based on improved semi-supervised clustering and deep learning. Acta Geotechnica, 19 (1) 509-529 doi:10.1007/s11440-023-01950-0
	Not Yet Imported: - journal-article : 10.5194/nhess-8-941-2008 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Lin, Qigen, Lima, Pedro, Steger, Stefan, Glade, Thomas, Jiang, Tong, Zhang, Jiahui, Liu, Tianxue, Wang, Ying (2021) National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data. Geoscience Frontiers, 12 (6) 101248pp. doi:10.1016/j.gsf.2021.101248
	Not Yet Imported: Remote Sensing - journal-article : 10.3390/rs14153620 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Lombardo, Luigi, Mai, P. Martin (2018) Presenting logistic regression-based landslide susceptibility results. Engineering Geology, 244. 14-24 doi:10.1016/j.enggeo.2018.07.019
	Lv JC, Zhang R, Shama A et al (2024) Exploring the spatial patterns of landslide susceptibility assessment using interpretable Shapley method: Mechanisms of landslide formation in the Sichuan-Tibet region. J Environ Manag 366:121921. https://doi.org/10.1016/j.jenvman.2024.121921
	Ma, Siyuan, Shao, Xiaoyi, Xu, Chong (2023) Landslide Susceptibility Mapping in Terms of the Slope-Unit or Raster-Unit, Which is Better?. Journal of Earth Science, 34 (2) 386-397 doi:10.1007/s12583-021-1407-1
	Merghadi, Abdelaziz, Yunus, Ali P., Dou, Jie, Whiteley, Jim, ThaiPham, Binh, Bui, Dieu Tien, Avtar, Ram, Abderrahmane, Boumezbeur (2020) Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance. Earth-Science Reviews, 207. 103225pp. doi:10.1016/j.earscirev.2020.103225
	Not Yet Imported: - journal-article : 10.3390/rs15225427 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Mokhtari, Maryam, Abedian, Sahar (2019) Spatial prediction of landslide susceptibility in Taleghan basin, Iran. Stochastic Environmental Research and Risk Assessment, 33 (7). 1297-1325 doi:10.1007/s00477-019-01696-w
	Nam, Kounghoon, Kim, Jongtae, Chae, Byung-Gon (2024) Exploring class imbalance with under-sampling, over-sampling, and hybrid sampling based on Mahalanobis distance for landslide susceptibility assessment: a case study of the 2018 Iburi earthquake induced landslides in Hokkaido, Japan. Geosciences Journal, 28 (1) 71-94 doi:10.1007/s12303-023-0033-6
	Nandi, A., Shakoor, A. (2010) A GIS-based landslide susceptibility evaluation using bivariate and multivariate statistical analyses. Engineering Geology, 110 (1). 11-20 doi:10.1016/j.enggeo.2009.10.001
	Not Yet Imported: - journal-article : 10.1080/10106049.2020.1837258 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Ozturk, Derya, Uzel-Gunini, Nergiz (2022) Investigation of the effects of hybrid modeling approaches, factor standardization, and categorical mapping on the performance of landslide susceptibility mapping in Van, Turkey. Natural Hazards, 114 (3) 2571-2604 doi:10.1007/s11069-022-05480-y
	Not Yet Imported: - journal-article : 10.1007/s10346-020-01558-5 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Pourghasemi, Hamid Reza, Pouyan, Soheila, Bordbar, Mojgan, Golkar, Foroogh, Clague, John J. (2023) Flood, landslides, forest fire, and earthquake susceptibility maps using machine learning techniques and their combination. Natural Hazards, 116 (3) 3797-3816 doi:10.1007/s11069-023-05836-y
	Pradhan, Biswajeet (2013) A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS. Computers & Geosciences, 51. 350-365 doi:10.1016/j.cageo.2012.08.023
	Qi TJ, Meng XM, Zhao Y (2024) Landslide susceptibility assessment in active tectonic areas using machine learning algorithms. Remote Sens 16(15):2724. https://doi.org/10.3390/rs16152724
	Rai, Dil Kumar, Xiong, Donghong, Zhao, Wei, Zhao, Dongmei, Zhang, Baojun, Dahal, Nirmal Mani, Wu, Yanhong, Baig, Muhammad Aslam (2022) An Investigation of Landslide Susceptibility Using Logistic Regression and Statistical Index Methods in Dailekh District, Nepal. Chinese Geographical Science, 32 (5) 834-851 doi:10.1007/s11769-022-1304-2
	Reichenbach, Paola, Rossi, Mauro, Malamud, Bruce D., Mihir, Monika, Guzzetti, Fausto (2018) A review of statistically-based landslide susceptibility models. Earth-Science Reviews, 180. 60-91 doi:10.1016/j.earscirev.2018.03.001
	Saha, Sunil, Roy, Jagabandhu, Pradhan, Biswajeet, Hembram, Tusar Kanti (2021) Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India. Advances in Space Research, 68 (7) 2819-2840 doi:10.1016/j.asr.2021.05.018
	Saha, Sunil, Saha, Anik, Santosh, M., Kundu, Barnali, Sarkar, Raju, Hembram, Tusar Kanti (2024) Integrating deep learning neural network and M5P with conventional statistical models for landslide susceptibility modelling. Bulletin of Engineering Geology and the Environment, 83 (1) doi:10.1007/s10064-023-03498-5
	Not Yet Imported: - journal-article : 10.3390/s22186890 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Not Yet Imported: - journal-article : 10.1186/s40562-022-00218-x If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Schicker, Renée, Moon, Vicki (2012) Comparison of bivariate and multivariate statistical approaches in landslide susceptibility mapping at a regional scale. Geomorphology, 161. 40-57 doi:10.1016/j.geomorph.2012.03.036
	Sharma, Nirdesh, Saharia, Manabendra, Ramana, G.V. (2024) High resolution landslide susceptibility mapping using ensemble machine learning and geospatial big data. CATENA, 235. 107653 doi:10.1016/j.catena.2023.107653
	Shu, Heping, Guo, Zizheng, Qi, Shi, Song, Danqing, Pourghasemi, Hamid Reza, Ma, Jiacheng (2021) Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China. Remote Sensing, 13 (18). doi:10.3390/rs13183623
	Sun, Deliang, Xu, Jiahui, Wen, Haijia, Wang, Danzhou (2021) Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest. Engineering Geology, 281. 105972pp. doi:10.1016/j.enggeo.2020.105972
	Tang, Xinggang, Wang, Lingjian, Wang, Huiyong, Yuan, Yingdan, Huang, Dou, Zhang, Jinchi (2024) Predicted Climate Change will Increase Landslide Risk in Hanjiang River Basin, China. Journal of Earth Science, 35 (4) 1334-1354 doi:10.1007/s12583-021-1511-2
	Not Yet Imported: - journal-article : 10.1007/s10346-016-0769-4 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Not Yet Imported: - journal-article : 10.5194/nhess-2-73-2002 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Zêzere, J.L., Pereira, S., Melo, R., Oliveira, S.C., Garcia, R.A.C. (2017) Mapping landslide susceptibility using data-driven methods. Science of The Total Environment, 589. 250-267 doi:10.1016/j.scitotenv.2017.02.188
	Not Yet Imported: - journal-article : 10.1016/j.jenvman.2023.117357 If you would like this item imported into the Digital Library, please contact us quoting Journal ID
	Zhao, Xia, Chen, Wei (2020) Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation. Remote Sensing, 12 (14). doi:10.3390/rs12142180
	Zhao, Zhongguo, Xu, Zhangyan, Hu, Chuli, Wang, Ke, Ding, Xuan (2024) Geographically weighted neural network considering spatial heterogeneity for landslide susceptibility mapping: A case study of Yichang City, China. CATENA, 234. 107590 doi:10.1016/j.catena.2023.107590
	Zou, Qiang, Jiang, Hu, Cui, Peng, Zhou, Bin, Jiang, Yao, Qin, Mingyue, Liu, Yanguo, Li, Cong (2021) A new approach to assess landslide susceptibility based on slope failure mechanisms. CATENA, 204. 105388 doi:10.1016/j.catena.2021.105388

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