Nationwide landslide prediction in india using neural networks and multi-source satellite data.

HIGHLIGHTS

• What: The results of this study have significant implications for disaster resilience, offering a robust, scalable model for landslide prediction across diverse terrains. The study covers India`s diverse topography, focusing on landslide-prone areas across different regions, including the Himalayas, the Western Ghats, and the Northeastern states. Contribution of Each Data Source A sensitivity analysis was conducted to evaluate the contribution of each data source, confirming the essential role of multi-source data in landslide prediction:.
• Who: Karan Dakhore from the IndiaIndia India have published the research: International Journal for Multidisciplinary Research (IJFMR), in . . .
  

   

  

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