Enhancing the reliability of landslide early warning systems by machine learning

@article{Thirugnanam2020EnhancingTR,
  title={Enhancing the reliability of landslide early warning systems by machine learning},
  author={Hemalatha Thirugnanam and Maneesha Vinodini Ramesh and Venkat Rangan},
  journal={Landslides},
  year={2020},
  volume={17},
  pages={2231-2246}
}
This paper submits a report on the effective adoption of machine learning algorithms for enhancing the reliability of rainfall-induced landslides. The challenges involved in the design of reliable landslide early warning systems (LEWS) and the data-driven context for overcoming these challenges have been presented. The operation of LEWS is explained using the chain of five major components (i) Data collection, (ii) Data transmission, (iii) Modelling, analysis and forecasting, (iv) Warning, and… 

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