An improved multi-source data-driven landslide prediction method based on spatio-temporal knowledge graph

HIGHLIGHTS

  • who: Luanjie Chen and collaborators from the College of Resources and Environment (CRE), University of Chinese Academy of Sciences, Beijing, China have published the paper: An Improved Multi-Source Data-Driven Landslide Prediction Method Based on Spatio-Temporal Knowledge Graph, in the Journal: (JOURNAL) of 22/02/2000
  • what: The authors propose a and machine learning models. The authors propose a workflow for landslide prediction based on spatio-temporal knowledge graph, which not only alleviates the problem of landslide sample scarcity but also improves the efficiency of data usage and landslide prediction. The authors propose . . .

     

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