- Type Learning
- Level Intermediate
- Time Weeks
- Cost Paid
Remote Sensing Foundations
Students learn the fundamentals of remote sensing theory, methods, data, and applications. They develop and apply remote sensing skills using the Google Earth Engine platform. By integrating hands-on practical training with evidence-based experiential learning, students will establish an understanding of how to use remote sensing as a tool for spatial problem-solving.
- Type Learning
- Level Intermediate
- Time Weeks
- Cost Paid
Skills
- Big Data
- Change Detection
- Cloud Computing
- Computer Coding
- Data Analysis
- Forest cover
- Geospatial Datasets
- Google Earth Engine
- Image Processing
- Land cover classification
- Landsat
- Machine Learning
- MODIS
- Monitoring
- Multi-temporal
- Problem Solving
- Radiometric properties
- Remote Sensing
- Satellite
- Spectroscopy