Applications
- 3.3.1 Pest & Disease Prediction — Using satellite-derived vegetation stress indices, land surface temperature and soil moisture to predict pest and crop disease outbreaks before visible damage occurs.
- 3.3.2 Drought Risk Monitoring — Continuous satellite-derived soil moisture, vegetation stress and rainfall-deficit mapping to detect and forecast drought conditions before they become crop failures.
- 3.3.3 Agricultural Climate Risk — Mapping the compounding climate stressors — temperature extremes, shifting precipitation regimes, frost risk and heat stress — that threaten seasonal crop viability across national farmland.
- 3.3.4 Crop Failure Analytics — Combining multi-spectral vegetation indices, soil moisture retrievals and yield-model assimilation to detect, quantify and forecast crop failure at field scale before harvest.
- 3.3.5 Farm Risk Scoring — Generating field-level risk scores by fusing multispectral imagery, soil moisture data and historical yield records to underwrite and insure smallholder and commercial farms.
- 3.3.6 Extreme Weather Risk — Detecting and quantifying extreme weather events — hail, flash floods, unseasonal frost and wind damage — that threaten standing crops before, during and immediately after impact.