Worldwide, wildfires cause such problems as the degradation of ecosystems, the loss of biodiversity, an increase in soil erosion, the destruction of infrastructure and property, as well as economic damage and, most seriously, the loss of human life. In this context, the use of remote sensing offers the most effective means of conducting large-scale, spatially unrestricted analysis. Thus, the aim of this study is to develop an approach to assess the wildfire hazards based on remotely sensed data. The proposed approach was tested on two areas: the Kryvyi Rih area in some districts of the central region of Portugal (Aveiro, Coimbra, Guarda, Leiria, Viseu, and Castelo Branco). As a validation case, October 2017 was selected for the Portugal study area. According to the obtained results, October 15 is found to be the most dangerous day based on the calculated wildfire hazard map. This finding is supported by historical data, which confirms that this day recorded the highest number of wildfires in the study area during October 2017. Thus, the presented approach proved to be effective for remote assessment of wildfire danger by integration of climatic variables and land cover classification. Therefore, the developed approach could serve as a reliable tool in aiding territorial governance, resource planning, and decision-making.
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