This study investigates the use of satellite imagery data with the geospatial analysis and techniques for monitoring forest fires in northern-west Africa, employing integrated application of remote sensing (RS) technologies alongside the functionalities of Geographic information system (GIS). Effective monitoring becomes essential for ecological protection and disaster management as the frequency of future forest fires increases owing to climate change, deforestation, and changes in land use/land cover (LU/LC). The multi-temporal satellite imagery data can be used to track patterns, seasonal trends, and historical fire occurrences in specific areas of northern-west Africa regions. The research methodology also used a GIS model to look at potential fire sites. Using geo-spatial powerful processing capabilities; and conducted a comprehensive analysis of fire-affected areas, assessing both the frequency and intensity of fires. The research findings reveal significant spatial variations in fire activity, highlighting regions that are particularly vulnerable to wildfires. By integrating multiple spatial layers and datasets, including LU/LC, macro and microclimate variables, and historical fire records, the research were able to identify potential risk factors and predict future fire occurrences. The findings highlight how useful the integration between remote sensing and GIS is at giving stakeholders and decision-makers in forest management and conservation initiatives access to periodical data. This chapter shows the value and capabilities of geospatial applications in environmental monitoring and supporting while also advancing the understanding of the dynamics of forest fires and its factors in the study area. In the end, the knowledge gathered from this research can help develop tactics for reducing the danger of wildfires, building spatial early warning system and boosting ecosystem resilience in susceptible areas.