Landslide susceptibility mapping using automatically constructed cnn architectures with pre-slide topographic dem of deep-seated catastrophic landslides caused by typhoon talas

HIGHLIGHTS

• who: Teruyuki Kikuchi from the Tokyo, u20110021, Japan Graduate School of Environmental and Life Science, Okayama University, Tsushimanaka, u20111u2011, have published the research work: Landslide susceptibility mapping using automatically constructed CNN architectures with pre-slide topographic DEM of deep-seated catastrophic landslides caused by Typhoon Talas, in the Journal: (JOURNAL)
• what: In this study models using automatically constructed high-performing convolutional neural network (CNN) architectures for landslide detection were applied and their outcomes were compared for landslide susceptibility mapping at the Kii peninsula Japan. The landslide susceptibility mapping is consistent with the trends in the . . .
  

   

  

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