Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big earth observation data

HIGHLIGHTS

• who: Nat. Hazards Earth Syst. et al. from the Technological University, Sciences, University Geneva, Geneva, Switzerland have published the Article: Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data, in the Journal: (JOURNAL) of 30/06/2011
• what: The authors explore how cloud-based big observation data remote sensing and interpretable machine learning (ML) can provide a large-scale alternative to identify the nature and infer relationships between drivers controlling vegetation impact and recovery. The authors focus on the impacts to vegetation caused by the widespread . . .
  

   

  

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