ArticleScientific reports2021
Geoinformation-based landslide susceptibility mapping in subtropical area.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Brain connectivity changes associated with acute sleep deprivation: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Pooled it
- Assessing future landslide susceptibility and risk escalations under changing LULC and climate conditions in the Western Ghats of Karnataka in India.Scientific reports · 2026Article
- Evaluation of geological hazards susceptibility along a key railway based on machine learning.Scientific reports · 2025Article
- Rapid identification of Litopenaeus vannamei pathogenic bacteria: a combined approach using surface-enhanced Raman spectroscopy (SERS) and deep learning.Analytical and bioanalytical chemistry · 2025Article
- Artificial intelligence in fracture detection on radiographs: a literature review.Japanese journal of radiology · 2025Review
- Seismic landslide susceptibility assessment using principal component analysis and support vector machine.Scientific reports · 2024Article
- Research on the influence of different sampling resolution and spatial resolution in sampling strategy on landslide susceptibility mapping results.Scientific reports · 2024Article
- Refined Zoning of Landslide Susceptibility: A Case Study in Enshi County, Hubei, China.International journal of environmental research and public health · 2022Article
- Adipokine human Resistin promotes obesity-associated inflammatory intervertebral disc degeneration via pro-inflammatory cytokine cascade activation.Scientific reports · 2022Article
- Targeting mitochondria as a therapeutic anti-gastric cancer approach.Apoptosis : an international journal on programmed cell death · 2022Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mapping susceptibility of landslide disaster is essential in subtropical area, where abundant rainfall may trigger landslide and mudflow, causing damages to human society. The purpose of this paper is to propose an integrated methodology to achieve such a mapping work with improved prediction results using hybrid modeling taking Chongren, Jiangxi as an example. The methodology is composed of the optimal discretization of the continuous geo-environmental factors based on entropy, weight of evidence (WoE) calculation and application of the known machine learning (ML) models, e.g., Random Forest (RF), Support Vector Machine (SVM) and Logistic Regression (LR). The results show the effectiveness of the proposed hybrid modeling for landslide hazard mapping in which the prediction accuracy vs the validation set reach 82.35-91.02% with an AUC [area under the receiver operating characteristic (ROC) curve] of 0.912-0.970. The RF algorithm performs best among the observed three ML algorithms and WoE-based RF modeling will be recommended for the similar landslide risk prediction elsewhere. We believe that our research can provide an operational reference for predicting the landslide hazard in the subtropical area and serve for disaster reduction and prevention action of the local governments.
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Registered trials
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