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 for effective environmental monitoring.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Remote Sensing Course provides a practical approach to designing strong studies, choosing appropriate satellite missions, and selecting image dates that consider seasons, plant growth cycles, cloud cover, and how often satellites return. You will learn to prepare optical and radar data, calculate important spectral indices, create image composites, use simple classification and change detection techniques, and back up your findings with clear, well-documented research.
Elevify advantages
Develop skills
- Design temporal image analyses: choose the best dates, seasons, and baselines quickly.
- Select satellite missions wisely: match Landsat, Sentinel, radar, or thermal data to your objectives.
- Preprocess imagery correctly: apply corrections, co-registration, and cloud masking.
- Compute key spectral indices: NDVI, NDWI, NDBI, soil indices for monitoring land changes.
- Apply practical change detection: use indices, classifiers, and accuracy assessment.
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 workload.What our students say
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