HIGHLIGHTS
- who: Mohammad Tavakol Sadrabadi and Mauro Sebastiu00e1n Innocente from the Coventry University, Priory St, Coventry , FB, UK have published the research work: Vegetation Cover Type Classification Using Cartographic Data for Prediction of Wildfire Behaviour, in the Journal: Fire 2023, 6, 76. of /2023/
- what: This paper proposes the use of state-of-the-art ML algorithms and automated hyperparameter tuning based on Bayesian optimisation to improve the accuracy of vegetation cover type classification. Somewhat surprisingly, all four models show high accuracy for the C7 cover type, despite its moderate sampling size (20,510 datapoints).
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