• Support operational and strategic decisions with consistent, calibrated, and continuous Earth Observation data.

  • Monitor vegetation health with multispectral indices (NDVI, EVI, GCVI, NMDI, NDWI, and more) updated daily

  • Analyze intra-seasonal crop conditions with uninterrupted time-series, even in cloudy regions via gap-filling and fusion techniques

  • Detect early-stage anomalies like delayed emergence, drought stress, or pest pressure before ground teams can

  • Correlate environmental indicators (LST, soil moisture proxies, precipitation) with crop performance across multiple seasons

  • Integrate EarthDaily imagery into farm management platforms via API for automated alerting and benchmarking

Leverage remote sensing to assess risk, validate performance, and support scalable production-based lending.

• Access 20+ years of retrospective field-level productivity data to build borrower profiles and detect yield volatility

• Monitor in-season progress with daily field updates, enabling early risk mitigation or intervention

• Validate planting, growth stage, and harvest timing without relying solely on farmer-reported data

• Flag inconsistencies or potential non-compliance using time-series spectral signatures and field boundary tracking

• Feed geo-validated insights directly into credit risk models and decision engines via secure APIs

Replace inconsistent field reports with unbiased, high-frequency satellite analytics across policy lifecycles.

• Confirm crop type, planting date, and phenological stage with spectral pattern recognition and classification models

• Detect extreme weather impacts—like flood extent, drought zones, frost events, and wind damage—within 24 hours

• Automate anomaly detection at scale using pixel-level time-series analysis and AI-driven alerts

• Support claims adjudication with downloadable field reports, full-resolution imagery, and objective crop condition scores

• Reduce fraud exposure by validating acreage, losses, and timing with third-party, tamper-proof data

Access early, independent, and actionable intelligence on crop production and growing conditions worldwide.

• Track acreage and emergence at the country, region, or basin level using automated classification models

• Monitor crop health and development through the season using calibrated indices and climatology-based comparisons

• Forecast yield outcomes up to 30–45 days ahead of harvest using machine learning models trained on EarthDaily data

• Benchmark growing conditions in real time against historical performance for supply-side price movement prediction

• Reduce reliance on lagging government reports with high-frequency, satellite-driven evidence available via API or dashboard