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KNN-GCN: A Deep Learning Approach for Slope-Unit-Based Landslide Susceptibility Mapping Incorporating Spatial Correlations
Mathematical Geosciences,
2024
DOI:10.1007/s11004-023-10132-3
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[2]
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Landslide Hazard Zonation in the Alaknanda River Basin Using Innovative Techniques
World Environmental and Water Resources Congress 2023,
2023
DOI:10.1061/9780784484852.004
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Doctoral Symposium on Information and Communication Technologies - DSICT
Lecture Notes in Electrical Engineering,
2022
DOI:10.1007/978-3-030-93718-8_8
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Review of landslide susceptibility assessment based on knowledge mapping
Stochastic Environmental Research and Risk Assessment,
2022
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An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling
Applied Sciences,
2022
DOI:10.3390/app122010196
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[6]
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Geoenvironmental conditioning of landsliding in river valleys of lowland regions and its significance in landslide susceptibility assessment: A case study in the Lower Vistula Valley, Northern Poland
Geomorphology,
2022
DOI:10.1016/j.geomorph.2022.108490
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Landslide susceptibility mapping using integrated approach of multi-criteria and geospatial techniques at Nilgiris district of India
Arabian Journal of Geosciences,
2021
DOI:10.1007/s12517-021-07341-7
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When Enough Is Really Enough? On the Minimum Number of Landslides to Build Reliable Susceptibility Models
Geosciences,
2021
DOI:10.3390/geosciences11110469
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Evaluation of the susceptibility to landslides through diffuse logic and analytical hierarchy process (AHP) between Macas and Riobamba in Central Ecuador
2020 Seventh International Conference on eDemocracy & eGovernment (ICEDEG),
2020
DOI:10.1109/ICEDEG48599.2020.9096879
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A comparison of slope units and grid cells as mapping units for landslide susceptibility assessment
Earth Science Informatics,
2018
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