Landslide susceptibility in Nepal using Random Forest in Google Earth Engine (GEE)

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  • Опубліковано 10 лют 2025
  • This presentation was given by Kshitij Dahal in July 28, 2021. Kshitij was a first year master's student at Chinese Academy of Sciences. He used various geophysical parameters as independent variable to understand the susceptibility of landslide. He is currently a PhD student at the Arizona State University.
    #randomforest #googleearthengine #eo #servir

КОМЕНТАРІ • 10

  • @IAKhan-km4ph
    @IAKhan-km4ph Рік тому

    Very nice

  • @Tholiyamain
    @Tholiyamain 4 місяці тому

    How i can took training data n where from ?? please answer
    Please make full processing video (arcgis)

    • @TheGeoICT
      @TheGeoICT  4 місяці тому

      The training data were taken from GEE. You would have to go through the video to understand how the processing was done. Good luck!

  • @hewenxinhewenxin
    @hewenxinhewenxin Рік тому

    can you provide the NASA website for monitoring debris flows?☺

    • @TheGeoICT
      @TheGeoICT  Рік тому

      You can learn more about the landslide related applications at NASA gpm.nasa.gov/applications/landslides

    • @hewenxinhewenxin
      @hewenxinhewenxin Рік тому

      @@TheGeoICT THANKS

  • @uma9183
    @uma9183 6 місяців тому +1

    Sir, please share GEE code

    • @TheGeoICT
      @TheGeoICT  5 місяців тому

      I am sorry I don't have the code for this talk from the speaker. But here's the link to the paper that might be interesting to you from the speaker that has similar objectives: www.sciencedirect.com/science/article/abs/pii/S2212420922006549

  • @nunguyen3389
    @nunguyen3389 Рік тому

    can you share the code of detect landslide

    • @TheGeoICT
      @TheGeoICT  Рік тому

      I am sorry I don't have the code for this talk from the speaker. But here's the link to the paper that might be interesting to you from the speaker that has similar objectives: www.sciencedirect.com/science/article/abs/pii/S2212420922006549