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Citations (21)
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Zohaib Ahmed Khan & Bharat Jhamnani. (2023) Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India. Journal of Spatial Science 0:0, pages 1-34.
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A. Shameem Ansar, S. Sudha, Savita Vinayagamoorthi, Michelle Marianne Menachery & Suresh Francis. (2023) Landslide Classification and Prediction of Debris Flow Using Machine Learning Models. IETE Journal of Research 0:0, pages 1-17.
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Samuel Gameiro, Guilherme Garcia de Oliveira & Laurindo Antonio Guasselli. (2022) The influence of sampling on landslide susceptibility mapping using artificial neural networks. Geocarto International 0:0, pages 1-23.
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Articles from other publishers (18)
Yu-Feng Wu, A. Fa-you, Cheng Yang, Shi-qun Yan & Xiao-bo Kang. (2023) Accuracy Improvement of Different Landslide Susceptibility Evaluation Models through K-Means Clustering: A Case Study on China’s Funing County. Mathematical Problems in Engineering 2023, pages 1-17.
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Cheng Yang, A. Fa-you, Yu-Feng Wu, Shi-qun Yan, Chuan-bing Zhu & Hua Zhang. (2023) Impact of Parameter Tuning with Genetic Algorithm, Particle Swarm Optimization, and Bat Algorithm on Accuracy of the SVM Model in Landslide Susceptibility Evaluation. Mathematical Problems in Engineering 2023, pages 1-24.
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Sumon Dey & Swarup Das. (2023) Performance Assessment of Multivariate Statistical and Bagging Ensembles in Landslide Susceptibility Mapping: Case Study of National Highway-10. Performance Assessment of Multivariate Statistical and Bagging Ensembles in Landslide Susceptibility Mapping: Case Study of National Highway-10.
Emrehan Kutlug Sahin. (2022) Implementation of free and open-source semi-automatic feature engineering tool in landslide susceptibility mapping using the machine-learning algorithms RF, SVM, and XGBoost. Stochastic Environmental Research and Risk Assessment 37:3, pages 1067-1092.
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Xinyue Fan, Bin Liu, Jie Luo, Ke Pan, Suyue Han & Zhongli Zhou. (2023) Comparison of earthquake-induced shallow landslide susceptibility assessment based on two-category LR and KDE-MLR. Scientific Reports 13:1.
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Siti Norsakinah Selamat, Nuriah Abd Majid & Aizat Mohd Taib. (2023) A Comparative Assessment of Sampling Ratios Using Artificial Neural Network (ANN) for Landslide Predictive Model in Langat River Basin, Selangor, Malaysia. Sustainability 15:1, pages 861.
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Ankit Tyagi, Reet Kamal Tiwari & Naveen James. (2022) Mapping the landslide susceptibility considering future land-use land-cover scenario. Landslides 20:1, pages 65-76.
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Dipesh Roy, Satyajit Das & Rajib Mitra. (2022) An application of geospatial-based multi-criteria decision-making technique to identify landslide susceptibility zones in the Ragnu Khola River Basin of Darjeeling Himalayan region, India. Applied Geomatics 14:4, pages 731-749.
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Parthasarathy Kulithalai Shiyam Sundar & Paresh Chandra Deka. (2021) Spatio-temporal classification and prediction of land use and land cover change for the Vembanad Lake system, Kerala: a machine learning approach. Environmental Science and Pollution Research 29:57, pages 86220-86236.
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R. S. Ajin, Sunil Saha, Anik Saha, Aparna Biju, Romulus Costache & Sekhar L. Kuriakose. (2022) Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India. Journal of the Indian Society of Remote Sensing 50:11, pages 2245-2265.
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Bo Xiao, Junsan Zhao, Dongsheng Li, Zhenfeng Zhao, Dingyi Zhou, Wenfei Xi & Yangyang Li. (2022) Combined SBAS-InSAR and PSO-RF Algorithm for Evaluating the Susceptibility Prediction of Landslide in Complex Mountainous Area: A Case Study of Ludian County, China. Sensors 22:20, pages 8041.
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Jesudasan Jacinth Jennifer. (2022) Feature elimination and comparison of machine learning algorithms in landslide susceptibility mapping. Environmental Earth Sciences 81:20.
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Faming Huang, Siyu Tao, Deying Li, Zhipeng Lian, Filippo Catani, Jinsong Huang, Kailong Li & Chuhong Zhang. (2022) Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies. Remote Sensing 14:18, pages 4436.
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Aihua Wei, Kaining Yu, Fenggang Dai, Fuji Gu, Wanxi Zhang & Yu Liu. (2022) Application of Tree-Based Ensemble Models to Landslide Susceptibility Mapping: A Comparative Study. Sustainability 14:10, pages 6330.
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Mohammad Mehrabi. (2021) Landslide susceptibility zonation using statistical and machine learning approaches in Northern Lecco, Italy. Natural Hazards 111:1, pages 901-937.
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Chotirot Dechkamfoo, Sitthikorn Sitthikankun, Thidarat Kridakorn Na Ayutthaya, Sattaya Manokeaw, Warut Timprae, Sarote Tepweerakun, Naruephorn Tengtrairat, Chuchoke Aryupong, Peerapong Jitsangiam & Damrongsak Rinchumphu. (2022) Impact of Rainfall-Induced Landslide Susceptibility Risk on Mountain Roadside in Northern Thailand. Infrastructures 7:2, pages 17.
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Swades Pal & Satyajit Paul. 2022. Challenges of Disasters in Asia. Challenges of Disasters in Asia
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Brototi Biswas, Vignesh K.S & Rajeev Ranjan. (2021) Landslide susceptibility mapping using integrated approach of multi-criteria and geospatial techniques at Nilgiris district of India. Arabian Journal of Geosciences 14:11.
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