Google Earth Engine

This 5-Module intensive course introduces participants to the fundamentals of GIS, Remote Sensing, and the Google Earth Engine (GEE) cloud platform. It combines conceptual sessions with practical coding tutorials, enabling participants to work with satellite data, apply geospatial functions, visualize outputs, and build custom interfaces for analysis. Ideal for students, researchers, and professionals looking to integrate large-scale geospatial processing into their workflows. LinkedIn: https://www.linkedin.com/in/bala13/ Course syllabus Module 1: Foundations of GIS, Remote Sensing & Introduction to GEE Topics Covered: Basics of GIS and Remote Sensing Earth Observation data and platforms Overview of Google Earth Engine platform Practical: 00_JavaScript – Getting started with GEE JavaScript API 01_HelloWorld – First GEE script 02 - Hello Images – Visualizing satellite images Module 2: Working with Images and Collections Topics Covered: Image manipulation and filtering Understanding bands and image collections Practical: 03 - Apply a Computation to an Image 04 - Apply a Spatial Reducer 05 - Load and Filter an Image Collection 06 - Play with Image Bands Module 3: Image Processing and Index Computation Topics Covered: Image collection reduction Vegetation index (NDVI) computation Writing reusable functions in GEE Practical: 07 - Reducing Image Collections 08 - Isolate an Image 09 - Compute NDVI 10 - Write a Function Module 4: Automation and Visualization Topics Covered: Mapping functions over time NDVI time series analysis Composite image creation Practical: 11 - Map a Function over a Collection 12 - Chart NDVI over Time 13 - Build a Greenest-Pixel Composite 13b - Build a Greenest-Pixel Composite (S2) Module 5: Exporting Results and Building UI Tools Topics Covered: Exporting images and results Building user-friendly GEE apps Practical: 14 - Export an RGB Image 15 - Custom UI - Split Map 16 - Custom UI - Chart Update