What is remote sensing?
Remote sensing is the science of gathering information about places, objects, or phenomena without direct contact. Instead, it uses sensors mounted on satellites, airplanes, or drones (UAVs) to capture data from above. These sensors record details like temperature variations, vegetation health, and urban growth—offering a powerful, top-down view of the world.
Today, remote sensing is used in nearly every sector. From agriculture and forestry to urban planning, insurance, ocean monitoring, and renewable energy, it supports smarter, data-driven decisions. It helps you track environmental changes, monitor infrastructure, and map natural resources—without ever setting foot on the ground.
In this course, you’ll explore the basics of remote sensing. You’ll learn what it is, how it works, and where it’s used. You’ll also get a glimpse into what it takes to work in this exciting field. If you’re curious about how remote sensing could benefit your career or organization, this is the perfect place to start.
What will you learn in this blended learning course?
Step by step, you’ll discover how remote sensing works and what you can achieve with it. You’ll start by learning to interpret aerial and satellite images and turn them into usable information.
Next, you’ll build the skills to work independently. You’ll practice image recognition, data processing, and applying insights to real-world scenarios. You’ll get hands-on with ERDAS Imagine, a popular tool in the geospatial field, and explore how to integrate remote sensing into practical GIS workflows.
This course goes beyond the basics. It’s a springboard into the world of geospatial data and Earth observation. You’ll gain not just knowledge—but the confidence to start using it in your own work.
Why choose this introduction to remote sensing course?
Blended learning gives you the best of both worlds—live interaction and flexible, self-paced study—so you can develop real, job-ready skills in remote sensing.
To start, we kick off with a live session where you’ll begin working with real satellite datasets right away. With the support of experienced remote sensing and GIS professionals, you’ll explore key concepts, analyze imagery, and get to know tools like ERDAS Imagine.
Next, in the self-paced modules, you’ll deepen your knowledge at your own speed. You’ll explore topics such as sensor types, image classification, and remote sensing applications in agriculture, city planning, and environmental management. Throughout this phase, you’ll also sharpen your skills by linking imagery to geospatial data for actionable insights.
Then, in a second live session, you’ll apply what you’ve learned to real-world cases. You’ll troubleshoot challenges, fine-tune your approach, and receive expert feedback as you complete your own analysis project.
Notably, one of the course’s highlights is its case-based approach. You’ll create practical outputs—like interpretation results and processing workflows—that can be used immediately in your own work.
Ultimately, by combining expert-led sessions with flexible learning, this course helps you move beyond theory. By the end, you’ll be able to analyze and interpret imagery with confidence—and apply those insights to make smarter spatial decisions in your field.