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54. The impact of the aggregation formula on indicator-based method for the assessment of building susceptibility to hydro-meteorological hazards R. Agliata et al. 10.1016/j.ijdrr.2022.102850
55. IoT-based hydrological monitoring of water-induced landslides: a case study in central Norway E. Oguz et al. 10.1007/s10064-022-02721-z
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64. Multi-model combination in key steps for landslide susceptibility modeling and uncertainty analysis: a case study in Baoji City, China L. Liu & J. Deng 10.1080/19475705.2024.2344804
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81. Low-Power, Flexible Sensor Arrays with Solderless Board-to-Board Connectors for Monitoring Soil Deformation and Temperature S. Wielandt et al. 10.3390/s22072814
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755. Application of statistical probabilistic methods in landslide susceptibility assessment in Kurseong and its surrounding area of Darjeeling Himalayan, India: RS-GIS approach A. Saha & S. Saha 10.1007/s10668-020-00783-1
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781. Cluster landslides and associated damage in the Dima Hasao district of Assam, India due to heavy rainfall in May 2022 P. Roy et al. 10.1007/s10346-022-01977-6
782. Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China H. Shu et al. 10.3390/rs13183623
783. Keynote lecture. The planar setup: A window through the complex interactions in granular flows M. Cabrera et al. 10.1051/e3sconf/202341502004
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785. Landslides, a Key Landform in the Global Geological Heritage C. Morino et al. 10.3389/feart.2022.864760
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788. From empirically to physically based early warning predictions of rainfall-induced landslides in silty volcanic soils: the Lattari Mountains case study G. Rianna et al. 10.1007/s10064-023-03228-x
789. A Data-Driven Model on Google Earth Engine for Landslide Susceptibility Assessment in the Hengduan Mountains, the Qinghai–Tibetan Plateau W. Wu et al. 10.3390/rs14184662
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792. Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach M. Crawford et al. 10.3390/rs14246246
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810. Worldwide Research Trends in Landslide Science P. Carrión-Mero et al. 10.3390/ijerph18189445
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840. Identification of potential failure zones in large progressive landslides: a method to optimize the cost of landslide early warning S. Kumar et al. 10.1007/s11069-024-06685-z
841. Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides D. Panici et al. 10.1002/esp.5841
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846. Displacement Prediction of the Muyubao Landslide Based on a GPS Time-Series Analysis and Temporal Convolutional Network Model D. Huang et al. 10.3390/rs14112656
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850. Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria H. Abdo 10.1007/s13762-021-03322-1
851. Exploring disaster ontologies from Chinese and Western perspectives: commonalities and nuances S. Goodall et al. 10.1108/DPM-03-2021-0108
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853. Landslide risk assessment considering socionatural factors: methodology and application to Cubatão municipality, São Paulo, Brazil P. Hader et al. 10.1007/s11069-021-04991-4
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