Recent developments in satellite remote sensing allow researchers to observe trends in vegetation consistently and over time, even on a large scale and in remote areas that were previously difficult to study. This systematic review integrates peer-reviewed research from 2014 to 2025, focusing on the spatial and temporal patterns of forest vegetation observed through satellite imagery throughout Pakistan. The review adheres to the PRISMA framework and includes critical evaluations of the methodologies and results of studies that utilize multi-temporal datasets generated by MODIS, Landsat, Sentinel, and SPOT satellite sensors. The review identified the spatial and temporal trends of vegetation, describe the research methodology, and assess how climatic and anthropogenic variables differ regionally across Pakistan’s ecological regions. The results of the review have shown significant variability in vegetation dynamics throughout Pakistan. The primary climatic variable affecting vegetation growth is identified as precipitation, while anthropogenic stressors are identified as the primary causes of deforestation and forest degradation (e.g., population growth, urbanization, land use changes). As a result, large-scale afforestation projects, including the Billion Tree Afforestation Project and the Billion Tree Tsunami, have produced measurable improvements in vegetation index and forest cover. However, there are still questions regarding the longterm ecological viability of these initiatives. Without a uniform methodology, there exists both spatial and temporal variation, as well as a limited amount of socio-economic data, making comparisons between studies difficult. The review identifies a need for standardized remote-sensing methodologies, integrated frameworks attributing vegetation change to both climate factors and human factors and developed longitudinal monitoring for the purposes of informing sustainable forest management policy and implementing effective climate adaptation strategies in Pakistan.