Vegetation vigour
Use NDVI and EVI to inspect relative canopy differences.
What it covers
Vegetation and Water Indices capabilities
Canopy structure
Use LAI-oriented outputs where model and input conditions support them.
Water context
Review water-sensitive indices alongside rainfall and field knowledge.
Workflow
How it fits into operations
- 01
Select fields
Use verified boundaries and choose a monitoring period.
- 02
Observe
Combine usable satellite acquisitions with relevant weather context.
- 03
Compare
Review indices, field zones, and change against earlier dates or seasons.
- 04
Respond
Prioritize scouting, document observations, and plan the next action.
OutputsWhat teams can take forward
Index maps
Spatial patterns rather than a single field average.
Trend series
Comparable values through the selected monitoring period.
Interpretation and limitations
Remote-sensing indicators describe observed surface conditions; they do not diagnose a crop problem on their own.
- Cloud, revisit frequency, pixel size, and boundary accuracy affect what can be seen.
- Index values vary with crop, growth stage, soil background, atmosphere, and sensor.
- High-impact agronomic decisions should combine imagery with field inspection and local expertise.
Put land intelligence to work
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