Satellite crop monitoring and drought risk analysis for agriculture
Vegetation health monitoring (NDVI), irrigation water-balance analysis, and drought risk assessment that help agribusinesses and farm managers plan around water availability rather than react to it.
Agricultural water decisions are made on a seasonal cycle against information that usually arrives too late to change the outcome. Crop stress is visible in the field only once yield has already been affected, and by then the irrigation and planting decisions that mattered were taken months earlier.
Satellite vegetation indices move that information earlier. We build NDVI and vegetation-condition time series, irrigation water-balance analysis, and drought risk assessments that let agribusinesses and farm managers plan against water availability instead of reacting to its absence.
What makes this sector different
- Crop stress becomes visible on the ground only after yield impact is largely determined.
- Irrigation planning depends on seasonal water availability that is not yet observable.
- Ground monitoring cannot cover large or fragmented holdings at useful frequency.
- Drought severity needs a comparable measure across seasons, not a subjective judgement.
What we deliver
- NDVI and vegetation-condition time series across the holding or region
- Irrigation water-balance analysis against available supply
- SPI and SPEI drought indices with historical context for severity comparison
- Field or block-level anomaly maps highlighting underperforming areas
Common questions from agriculture sector
What resolution can you monitor at?
Sentinel-2 gives 10 m pixels every five days, which resolves individual fields for most commercial holdings. Smallholder plots below roughly a quarter of a hectare are marginal at that resolution, and we would say so rather than deliver an analysis whose pixels are larger than the fields it claims to describe.
Does NDVI actually predict yield?
It correlates with biomass and crop vigour, which correlate with yield — but that is a relationship, not a forecast. NDVI is most reliable used comparatively: this field against neighbouring fields, this season against the same date in previous seasons. Treat an absolute NDVI value as a yield prediction and it will mislead you.