Application of integrated multi-source data in landslide vulnerability assessment

HIGHLIGHTS

• What: The aims of this study are: To Develop a Comprehensive Model: Utilizing GIS technology and machine_learning to integrate and analyze multi-source data for a detailed assessment of landslide vulnerability in the southwestern region of the city. Through this study, the authors seek to demonstrate the utility of a multi-faceted data approach in refining risk assessment and mitigation strategies. The study focuses on a southwestern city characterized by its complex terrain, which includes steep hills and dense urban areas prone to landslides. The data collection for this study was comprehensive, involving multiple sources to capture . . .
  

   

  

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