Remote Sensing Course
This course equips learners with hands-on skills in remote sensing, from study design and data selection to preprocessing, analysis, and change detection using satellite imagery.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Remote Sensing Course provides a practical approach to designing solid studies, choosing appropriate satellite missions, and selecting image dates that consider seasonality, phenology, cloud cover, and revisit rates. You will learn to preprocess optical and radar data, calculate essential spectral indices, create composites, use simple classification and change detection techniques, and back your findings with clear, well-documented research.
Elevify advantages
Develop skills
- Design temporal image analyses: quickly select optimal dates, seasons, and baselines.
- Choose satellite missions appropriately: align Landsat, Sentinel, radar, or thermal data with your objectives.
- Preprocess imagery properly: implement corrections, co-registration, and cloud masking.
- Calculate key spectral indices: NDVI, NDWI, NDBI, soil indices for monitoring land changes.
- Use practical change detection: apply indices, classifiers, and accuracy assessments.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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