Semi-automatic classification for rapid delineation of the geohazard-prone areas using sentinel-2 satellite imagery

HIGHLIGHTS

• who: Karma Tempa from the Technology, Royal University of Bhutan, Phuentsholing, Bhutan Faculty of Resilience, Rabdan Academy, Abu Dhabi have published the research work: Semi-automatic classification for rapid delineation of the geohazard-prone areas using Sentinel-2 satellite imagery, in the Journal: (JOURNAL) of October/11,/2021
• what: The aim of this study is to delineate geohazard-prone areas using semi-automatic classification technique and Sentinel-2 satellite imagery in Bhutan. Prior to this study, relatively few studies on landslide hazard based on causal factors were conducted . In the present study, an attempt was . . .
  

   

  

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