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This study reviews the progression of forest fire susceptibility modelling over the past two decades 2001–2021. In particular, this study provides insights on the main themes of forest fire susceptibility modelling research, the main base input factors used in models to map forest fire susceptibility, the main researchers, the areas where this type of research were implemented, technology and models used. It also highlights collaboration opportunities, and regions, such as Central America and Africa, where mapping of forest fire susceptibility is needed.

This study indicates that the utilization of models to map forest fire susceptibility is increasing. Forest fire susceptibility mapping can furthermore be done in countries where there are local or national data limitations since the majority of the factors used can be derived from global databases. On the other hand, the general nature of these factors used limit the usefulness of the models at a local scale. Additionally, the identification of actors highlighted implementation and collaboration opportunities that can promote research cooperation between currently unconnected researchers and countries, which is urgently needed to mitigate the impacts of forest fires. The analysis of the base factors and models provide critical information which when combined with the researcher’s knowledge of the study area can improve factor and model selection when mapping forest fire susceptibility.