Application of GIS-AHP based category model in the identification of forest fire hazard in Ondo State, Nigeria

ABSTRACT

This paper employs GIS to describe and assess the risk of forest fires in Ondo State, Nigeria. The study took a holistic approach to the major contributing factors to forest fire hazard, which included landcover, elevation, slope, aspect, distance to road, and distance to settlement. The study used GIS-AHP as a tool to carry out the proneness of Ondo state Nigeria to forest fire hazard taking into account various factors, which would help people in the area to be aware of places that are more prone to forest fire ahead of safety. Remote sensing and ArcGIS have been demonstrated to be one of the most effective methods of studying a region’s susceptibility to forest fire hazards on a regional scale. As the primary means of achieving the study’s goal, remote sensing data were collected and combined with other thematic maps of the study area. The study reveals that due to the close proximity of road and settlement, the pattern of landcover, and the high level of anthropogenic activity occurrence in the region, parts of Idanre local government area, Owo local government area, and Ose local government area were found to be highly prone to forest fire. Overall, the findings of this study indicate that the GIS-AHP-based category model is effective in identifying forest fire hazard areas in Ondo state.

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