A dynamic hierarchical bayesian approach for forecasting vegetation condition

HIGHLIGHTS

  • who: Nat. Hazards Earth Syst. and colleagues from the Data Intensive Science Centre, Department of Physics and, University of Sussex, Brighton , QH, UK have published the research: A dynamic hierarchical Bayesian approach for forecasting vegetation condition, in the Journal: (JOURNAL)
  • what: Agricultural drought, which is the focus of this paper, is known to be very complex (Boken et_al, 2005); this is because, aside from the soil moisture dynamics, the severity of agriculture drought events is further augmented by over-exploitation of vegetation through various human and wildlife activities like deforestation and overgrazing (Lal, 2012). The . . .

     

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