← Insights · Crop monitoring

The field average is lying to you: within-field variability from space

A single NDVI number for a field is almost useless. The value in satellite crop monitoring isn't the average — it's the map, and specifically the parts of it that quietly drag your average down while the headline figure still looks fine.

The average hides your worst acres

A field-average vegetation index blends the thriving 80% of a field with the struggling 20%. The number reads "healthy" while a compacted corner, a soil change, or a failing pivot segment costs you yield you never see. Averages are comfortable and they lie by omission; the losses live in the spread, not the mean.

What the map actually resolves

Sentinel-2 images most farmland at 10-metre resolution every few days. That splits a centre-pivot or a field into hundreds of cells, each with its own vigour reading through the season. The output that matters is the spatial pattern — the persistent low zones, the stressed edges, the wet and dry patches — mapped, not averaged away.

Persistent versus transient — why one image isn't enough

A single scene can mislead: cloud shadow, a passing dry spell, a haze artefact. The signal is the time series. A cell that reads low across many dates and low relative to the rest of the field is a genuine management zone; a one-off dip is noise. Separating the two is the difference between a useful map and a false alarm — and it's exactly what a corrected, consistently-measured series lets you do.

What you do with it

  • Target scouting to the exact underperforming spots instead of walking the whole block.
  • Define management zones for variable-rate fertiliser, seed or irrigation, so inputs go where they pay.
  • Check that an intervention worked — measured the same way, before and after, so the comparison is real.

What it won't do

The map shows where, not why: nutrition, pests, water and soil all live in the ground record. Ten-metre pixels won't resolve a single plant, and the method needs a calibrated, atmospherically-corrected time series, not two random images. It makes the agronomy sharper and cheaper — it doesn't replace it.

Stop managing to the average and start managing the acres that are actually costing you. That's the core of our crop monitoring service — tell us the crops and the area and we'll show you what a season looks like from above.

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