Using the Google Earth Engine (GEE) JavaScript API to Examine Green Index
In this project centered on Multan, Punjab Pakistan, Change Detection utilizing Google Earth Engine (GEE) and Sentinel-2 imagery was employed to analyze temporal alterations in the region's land cover and urban development. Accessing Sentinel-2 data via GEE, a multi-temporal dataset spanning several years was acquired and pre-processed for quality assurance. Image stacking techniques facilitated the creation of composite image stacks, enabling direct temporal comparisons. Leveraging change detection algorithms within GEE, variations in land cover, vegetation health, and urban expansion across Multan were examined. Visualization of detected changes provided crucial insights into environmental dynamics, urban growth patterns, and potential land use shifts. This analysis, utilizing the computational prowess of GEE and the rich Sentinel-2 spectral information, serves as a valuable tool for informed decision-making in urban planning, environmental management, and disaster risk assessment in Multan, Punjab Pakistan.