Harness the power of Google Earth Engine (GEE) and Artificial Intelligence (AI) to analyze satellite imagery and monitor environmental changes. This comprehensive course will guide you through the fundamentals of remote sensing, machine learning, and deep learning for geospatial analysis.
You will start with an introduction to GEE and remote sensing, learning how to access and process satellite imagery. From there, you’ll dive into Land Use and Land Cover (LULC) mapping, applying machine learning and deep learning techniques to classify landscapes effectively.
The course also covers time-series image visualization, allowing you to create animated representations of changes over time. You’ll explore real-world environmental applications, including forest fire mapping, flood analysis using multiple satellite datasets, and landslide susceptibility mapping. Additionally, you will learn change detection analysis using deep learning, a crucial technique for tracking landscape modifications.
By the end of this course, you will have the skills to:
- Utilize GEE for satellite image processing and visualization
- Implement machine learning and deep learning for LULC classification
- Conduct disaster mapping for floods, forest fires, and landslides
- Apply change detection techniques to monitor environmental transformations
