Satellite-based crop monitoring is powerful but has inherent limitations. Understanding these helps you interpret results correctly and set appropriate expectations.
The Agdir platform primarily uses Sentinel-2 imagery at 10 x 10 meter resolution. This means each pixel in the analysis represents a 10 m by 10 m area on the ground.
Clouds block satellite imagery. When clouds cover your field during a satellite pass, no useful optical data can be collected for that date. This is the single most common reason for gaps in analysis results.
Mitigation: Use daily vegetation estimates to fill temporal gaps with ML-interpolated values. Use weather data to understand cloud cover patterns.
Sentinel-2 satellites pass over the same location every 2–7 days, depending on latitude. Combined with cloud cover filtering, this means you can typically expect:
Satellite data shows what is happening in a field (e.g., low vigor in a specific zone) but not always why. Causes could include:
Ground-truthing with field visits is recommended to validate satellite observations and identify root causes.
The use of moderate-resolution Sentinel-2 data (freely available from the European Space Agency) makes the Agdir platform cost-effective for large-scale monitoring. Higher-resolution commercial satellites (sub-meter) exist but are significantly more expensive and not necessary for most field-level management decisions.