This course offers an in-depth understanding of GEE and its transformative impact on industries and research. Google Earth Engine is a cloud-based platform that enables large-scale processing of satellite imagery to detect changes, map trends, and quantify differences on the Earth’s surface. This course covers the full range of topics in Earth Engine to give the participants practical skills to master the platform and implement their remote sensing projects.
Key Learning Outcomes:
- Implement remote sensing workflows in Earth Engine.
- Scale your analysis to large regions and over long periods of time.
- Build interactive apps for data exploration.
- Carry out time-series analysis and change detection with earth observation data.
- Use Machine Learning techniques with remote sensing datasets.
Course Module:
- Introduction to Remote Sensing
- Introduction to Earth Engine
Module 1: Earth Engine Basics
- Introduction to the Code Editor
- Fundamentals of JavaScript programming
- Working with Image Collections
- Creating Mosaics and Composites
- Working with Feature Collections
- Import/Export
Module 2: Earth Engine Intermediate
- Map/Reduce Programming Concepts
- Calculating Indices
- Cloud Masking
- Calculating Area and Statistics
- Time-series Charts
Module 3: Machine Learning
- Overview of Machine Learning Methods
- Supervised Classification
- Accuracy Assessment
- Improving Classification
- Exporting Classification Results
Module 4: Change Detection
- Introduction to Change Detection
- Spectral Distance Change
- Direct Classification of Change
- Time Series Classification
Mode of Teaching Available
In-classroom, Online – Group, Private
Certification
Course completion certificate is from Institute and the course participation certificate is provided with Dubai KHDA (Knowledge and Human Development Authority) Attestation.