Global Warming and Vegetation Monitoring Using Satellite Images

Global warming is significantly altering climatic patterns and impacting terrestrial ecosystems, with vegetation being a primary indicator of these changes. This paper presents a methodology for monitoring vegetation dynamics in response to global warming using satellite remote sensing. The study utilizes multi-spectral satellite imagery from platforms such as Landsat, Sentinel-2, and MODIS to compute vegetation indices, including the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). These indices are analyzed over time to assess changes in vegetation health, density, and phenology across different regions. The proposed system integrates Geographic Information Systems (GIS) and cloud-based processing tools (e.g., Google Earth Engine) for scalable, real-time monitoring. Results indicate measurable shifts in vegetation patterns correlated with rising temperatures and altered precipitation regimes. The paper concludes that satellite-based vegetation monitoring is a cost-effective, accurate, and scalable approach for tracking ecological impacts of climate change, supporting sustainable land management and policy-making.