遇见数据集

Data for: Prior-Informed Local Landslide Susceptibility Modelling Using National-Scale Landslide Information: A Case Study of the Parlung Tsangpo Alpine Gorge Basin

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Zenodo2026-06-10 更新2026-06-12 收录
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This dataset accompanies the manuscript “Prior-Informed Local Landslide Susceptibility Modelling Using National-Scale Landslide Information: A Case Study of the Parlung Tsangpo Alpine Gorge Basin”. The dataset provides the processed data and derived products used to support prior-informed local landslide susceptibility modelling in the Parlung Tsangpo alpine gorge basin, southeastern Tibetan Plateau. The study treats the Parlung Tsangpo Basin as the target domain and national-scale landslide records outside the target domain as source-domain information. The uploaded materials support the construction of landslide conditioning factors, source–target modelling experiments, model evaluation, and landslide susceptibility mapping. The data include, where applicable, target-domain landslide inventory information, national-scale landslide source-domain information, derived landslide conditioning factors, sample-partition information, model input tables, predicted susceptibility probabilities, evaluation results, and susceptibility mapping products. The conditioning-factor system covers topographic, hydrological, geological, geomorphological, climatic, vegetation, land-cover, soil, and human-disturbance variables. The dataset is intended to support reproducibility of the four modelling strategies compared in the associated manuscript: local baseline modelling, direct national-model transfer, weighted source–target joint training, and prior-informed local modelling. The prior-informed strategy uses national-model susceptibility probabilities as an external probability prior and relearns them with local samples to improve local landslide susceptibility assessment under sample-limited conditions. Some original third-party geospatial datasets used to derive the conditioning factors may not be redistributed in raw form. Users should refer to the original data providers listed in the associated manuscript for access to those source datasets. This Zenodo record provides the shareable processed data, derived products, metadata, and/or supporting materials necessary to understand and reproduce the analysis.

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Zenodo
创建时间:
2026-06-10
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