This lecture introduces Google Earth Engine, a cloud-based platform for geospatial analysis. The instructor discusses its capabilities for analyzing satellite imagery and environmental data. The lecture begins with an overview of the platform's significance in addressing societal issues such as deforestation and climate change. The instructor explains how Google Earth Engine organizes vast datasets, providing access to over 500 public datasets and 4000 new images daily. The lecture covers the basic functionalities of the platform, including data cataloging, visualization, and coding in JavaScript. The instructor emphasizes the importance of coding for data analysis and demonstrates how to use the platform effectively. The session includes practical examples of analyzing temperature data and land cover, showcasing how to filter and visualize data. The lecture concludes with a discussion on the potential applications of Google Earth Engine in scientific research and environmental monitoring, encouraging students to engage with the platform for their projects.