Attentionfire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics

HIGHLIGHTS

• who: Fa Li and colleagues from the Berkeley, CA, USA Wuhan University, Wuhan, China have published the article: AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics, in the Journal: (JOURNAL)
• what: The study provides a reliable and interpretable fire model and highlights the importance of lagged relationships in historical and future predictions. The AttentionFire model aims to learn a nonlinear function F to map the n time series to the observed burned area YT +1 at time step T + 1: Yu0302T +1=F (Xl, X s, X f, X c . . .
  

   

  

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