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Articles

Quantitative assessment of landslide susceptibility on the Loess Plateau in China

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Pages 489-516 | Received 03 Apr 2019, Accepted 27 Sep 2019, Published online: 10 Oct 2019

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Karla Aurora De La Peña Guillen, Manuel E. Mendoza, José Luis Macías & Berenice Solis-Castillo. (2022) Landslide susceptibility analysis based on a semiquantitative method in the sierra-costa region, michoacán, mexico. Physical Geography 43:4, pages 463-486.
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Xiaokang Liu, Shuai Shao & Shengjun Shao. (2024) Landslide susceptibility prediction and mapping in Loess Plateau based on different machine learning algorithms by hybrid factors screening: Case study of Xunyi County, Shaanxi Province, China. Advances in Space Research.
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Zehra Kaya Topaçli, Adem Kursat Ozcan & Candan Gokceoglu. (2024) Performance Comparison of Landslide Susceptibility Maps Derived from Logistic Regression and Random Forest Models in the Bolaman Basin, Türkiye. Natural Hazards Review 25:1.
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Fatemeh Rezaie, Mahdi Panahi, Sayed M. Bateni, Zahra Kalantari, Omid Rahmati, Saro Lee & Arip Syaripudin Nur. 2024. Remote Sensing of Soil and Land Surface Processes. Remote Sensing of Soil and Land Surface Processes 419 438 .
Longfei Zhang, Zaiqiang Hu, Hongru Li, Haicheng She, Xiaoliang Wang, Xiaoning Han & Xi Yang. (2023) Mechanical Properties and Mesostructure Evolution of Fibre-Reinforced Loess under Freeze-Thaw Cycles. Advances in Civil Engineering 2023, pages 1-13.
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Bing Xu, Chunju Zhang, Wencong Liu, Jianwei Huang, Yujiao Su, Yucheng Yang, Weijie Jiang & Wenhao Sun. (2023) Landslide Identification Method Based on the FKGRNet Model for Remote Sensing Images. Remote Sensing 15:13, pages 3407.
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Jingyu Chen, Lei Li, Chong Xu, Yuandong Huang, Zhihua Luo, Xiwei Xu & Yuejun Lyu. (2023) Freely accessible inventory and spatial distribution of large-scale landslides in Xianyang City, Shaanxi Province, China. Earthquake Research Advances 3:3, pages 100217.
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Huan Li, Zhengjun Mao, Jiewen Sun, Jiaxin Zhong & Shuojie Shi. (2022) Landslide Susceptibility Mapping Using Weighted Linear Combination: A Case of Gucheng Town in Ningxia, China. Geotechnical and Geological Engineering 41:2, pages 1247-1273.
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Manish Singh Rana & Chandan Mahanta. (2022) Spatial prediction of flash flood susceptible areas using novel ensemble of bivariate statistics and machine learning techniques for ungauged region. Natural Hazards 115:1, pages 947-969.
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Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Sk Ajim Ali, Farhana Parvin, Ahmed Elbeltagi, Romulus Costache, Safwan Mohammed, Motrih Al-Mutiry & Karam Alsafadi. (2022) Spatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility mapping in Al-Balouta river basin, Tartous Governorate, Syria. Geoscience Letters 9:1.
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H. G. Abdo. (2021) Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria. International Journal of Environmental Science and Technology 19:4, pages 2599-2618.
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Zhengjun Mao, Shuojie Shi, Huan Li, Jiaxin Zhong & Jiewen Sun. (2022) Landslide susceptibility assessment using triangular fuzzy number-analytic hierarchy processing (TFN-AHP), contributing weight (CW) and random forest weighted frequency ratio (RF weighted FR) at the Pengyang county, Northwest China. Environmental Earth Sciences 81:3.
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Ender Buğday & Abdullah Emin Akay. (2022) Assessment of alternative forest road routes and landslide susceptibility mapping using machine learning. CERNE 28.
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Hong Wei, Sijin Li, Chenrui Li, Fei Zhao, Liyang Xiong & Guoan Tang. (2021) Quantification of Loess Landforms from Three-Dimensional Landscape Pattern Perspective by Using DEMs. ISPRS International Journal of Geo-Information 10:10, pages 693.
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Lei Li, Chong Xu, Zhongjian Zhang & Yuandong Huang. (2021) Spatial Distribution and its Control Factors of Landslides in Longxi County, Gansu Province, China. IOP Conference Series: Earth and Environmental Science 861:5, pages 052013.
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Haijun Qiu, Yifei Cui, Dongdong Yang, Sheng Hu, Yanqian Pei & Shuyue Ma. 2021. Understanding and Reducing Landslide Disaster Risk. Understanding and Reducing Landslide Disaster Risk 101 119 .
Langping Li & Hengxing Lan. (2020) Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study. International Journal of Environmental Research and Public Health 17:21, pages 8055.
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