Introduction to Remote Sensing and Cloud-Based Geospatial Analysis

Satellite data and earth observation technologies are critical for monitoring climate change, urban sprawl, and natural resources. This text-only course introduces you to the core principles of remote sensing without requiring prior experience in geography or programming. You will build a solid foundation in how electromagnetic radiation interacts with the Earth's surface and how modern sensors capture this data. By working through clear explanations and structured exercises, you will transition from understanding raw satellite bands to analyzing complex geospatial datasets using modern cloud-computing platforms. You will learn how to process large-scale environmental data efficiently, bypassing the limitations of traditional desktop software. What you'll learn: - Understand the fundamental physics of remote sensing, including electromagnetic spectrum bands and sensor resolutions - Interpret and preprocess satellite imagery from major earth observation programs - Apply cloud computing platforms to access and analyze global geospatial datasets - Calculate key environmental indices like NDVI to monitor vegetation health and land cover changes - Write basic scripts to filter, visualize, and analyze spatial data in cloud environments - Practice modern workflows for exporting and sharing your analytical maps and reports This course begins with essential terminology, physical principles, and data structures before guiding you step-by-step through cloud-based analysis workflows. It is designed specifically for beginners, students, and professionals looking to add spatial data analysis to their skill set. No expensive software or high-end hardware is required to complete the practical exercises. Start reading today to unlock the power of global earth observation data.