Predicting spatially explicit composite burn index (cbi) from different spectral indices derived from sentinel 2a: a case of study in tunisia

HIGHLIGHTS

• who: Mouna Amroussia and collaborators from the Institut Sylvo-Pastoral de Tabarka, Laboratoire des Ressources SYLVO-Pastorales, Universitu00e9 de, Department of Environmental Sciences, University of Castilla-La Mancha, AvdCarlos III, s/n, Toledo, Spain have published the paper: Predicting Spatially Explicit Composite Burn Index (CBI) from Different Spectral Indices Derived from Sentinel 2A: A Case of Study in Tunisia, in the Journal: (JOURNAL) of 29/Dec/2022
• what: The aim of this study is to develop maps of the field-based fire severity (composite index-CBI) from different spectral indices derived from 2A images and . . .
  

   

  

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