Remote Sensing Course
This course equips learners with essential skills in remote sensing, focusing on study design, data selection, preprocessing, spectral analysis, and change detection techniques using satellite imagery.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
This Remote Sensing Course provides a practical workflow to design strong studies, choose appropriate satellite missions, and select image dates considering seasonality, phenology, cloud cover, and revisit rates. Learn to preprocess optical and radar data, calculate important spectral indices, build composites, apply simple classification and change detection methods, and back your results with clear, well-documented background research.
Elevify advantages
Develop skills
- Design temporal image analyses: pick optimal dates, seasons, and baselines quickly.
- Select satellite missions wisely: match Landsat, Sentinel, radar, or thermal to your goals.
- Preprocess imagery correctly: apply corrections, co-registration, and cloud masking.
- Compute key spectral indices: NDVI, NDWI, NDBI, soil indices for land change.
- Apply practical change detection: indices, classifiers, and accuracy assessment.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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