Vegetation, climate and anthropogenic factors in the country of Togo are thought to mutually correlate, however, the degrees to which they correlate remains unclear. This study examined and analyzed patterns of climate variability and how these patterns have influenced vegetation cover dynamics in Togo. Based on data collected from eight meteorological stations, the global climate monitor and European Space Agency, this study analyzed existing trends and relationships between vegetation cover, climate and Normalized Difference Vegetation Index (NDVI) using Mann Kendall non-parametric test, ANOVA and p-value tests. The results showed that (1) rainfall correlated strongly with NDVI (pvalue < 0.00001), (2) evapotranspiration was influenced by annual temperatures in the eight sampled meteorological stations across the country (p-values < 0.0001), (3) evapotranspiration and rainfall were negatively correlated, (4) annual NDVI changes can be used to monitor annual rainfalls, (5) Anthropogenic disturbances, such as deforestation from uncontrolled tree logging, farming and low household income, can be quoted among the limiting factors of vegetation cover.