This study addresses the critical need for reliable, long-term meteorological data to assess the impact of global warming on food security and human well-being. The research demonstrates the utility of satellite-based spatial databases, particularly NASA's POWER Data Viewer, in evaluating regional climate trends. We analysed six climatic parameters from 1992 to 2022 across three climatic sub-regions of Adamawa state, Nigeria, using data from fixed stations. Linear regression analysis of the thirty-year trends revealed increases in mean, maximum, and minimum temperatures, along with decreases in precipitation and relative humidity, suggesting regional warming. ANOVA tests validated the linear models for mean temperature in Ganye and Yola, maximum temperature and relative humidity in Ganye, and the all-sky insolation clearness index across all regions. The findings underscore the significance of satellite data in climate assessment and call for further studies to identify the most accurate predictive models for parameters where the linear hypothesis was rejected.