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Análisis satelital

NDVI puede ayudar, pero no va a briefear a la cuadrilla

Por qué las capas amplias de vegetación sirven para monitoreo y siguen siendo débiles para despachar una caminata.

Satellite Analysis 6 min de lectura Farmbit Field Team · Updated 2026-08-24

Section 1

Treat NDVI as a broad signal

NDVI can expose vegetation contrast across a block or between blocks, which is useful for deciding where to look first. It does not identify the cause by itself, and it does not know whether a difference came from crop condition, soil, water, shade, or a recent operation.

Section 2

Add time and field context

Compare the observation with the crop stage, recent irrigation, weather, mowing, harvest, and the previous field note. A single layer is a snapshot; the operational question is whether the change is new, persistent, or already explained.

Section 3

Convert contrast into a row check

Use the map to choose a boundary, row group, or access point for the first walk. Ask the crew to verify a small set of visible conditions rather than asking them to prove a remote diagnosis.

Section 4

Keep the verdict with the field team

The right conclusion may be confirm, explain, or de-escalate. A useful workflow makes that outcome part of the record so the next remote observation can be interpreted against what the crew actually found.

Next move

Inspect the sample run after you read the guide.

The guide explains the logic. The completed sample run shows whether Farmbit turns that logic into a field-ready brief.

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