Analyzing Environmental Change with Earth Engine

Understanding global environmental change requires analyzing massive amounts of satellite data, but traditional desktop GIS tools often struggle with the scale. Earth Engine solves this by bringing planetary-scale geospatial analysis directly to the cloud. This text-based course guides you from absolute beginner to confidently writing scripts that process satellite imagery, monitor deforestation, track urban growth, and analyze climate trends. You will learn how to leverage cloud computing to perform complex spatial analyses in seconds. What you'll learn: - Understand foundational remote sensing concepts and Earth Engine data structures. - Filter and visualize multi-spectral satellite imagery collections. - Apply cloud masking and image reduction techniques to clean spatial datasets. - Analyze environmental change over time using multi-temporal data analysis. - Calculate key environmental indices like NDVI for vegetation health. - Export processed spatial data and map visualizations for external reporting. The course begins with essential terminology and the fundamentals of remote sensing before guiding you through hands-on scripting exercises. You will progress from loading single images to executing complex time-series analyses of global environmental patterns. This course is designed for beginners, environmental scientists, researchers, and GIS enthusiasts who want to transition to cloud-based spatial analysis, with no prior programming experience required. Start reading today to unlock the power of cloud-based environmental monitoring.