Design of a forest fire early alert system through a deep 3d-cnn structure and a wrf-cnn bias correction

HIGHLIGHTS

• who: Alejandro Casallas et al. from the Escuela de Ciencias Exactas e Ingenieru00eda, Universidad Sergio Arboleda, Bogotu00e1, Colombia have published the Article: Design of a Forest Fire Early Alert System through a Deep 3D-CNN Structure and a WRF-CNN Bias Correction, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 31/Dec/2021
• what: The analysis considered, on a daily resoLand cover features were considered independently of climatic conditions to prevent lution, three X-matrices: the Normalized Difference Vegetation Index (NDVI), Normalized multicollinearity, asIndex stated(NDWI) in the previous considered, on2017 a . . .
  

   

  

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