Parametric Insurnance
High-Quality Environmental and Agronomic Data for Parametric Index Design

Parametric insurance provides fast, transparent payouts based on predefined triggers such as rainfall levels, temperature variations, and vegetation indices, without the lengthy claims processes of traditional indemnity-based models. The Parametric Data Service provides actuaries and data scientists with the historical environmental and agronomic data needed to design effective parametric indices for the agricultural insurance space.

Purpose-Built for Parametric Index Development

Parametric insurance eliminates damage assessment requirements by automatically compensating farmers when predefined conditions are met.

Designing reliable indices requires consistent, long-term environmental datasets at the right spatial and temporal resolution.

Delivers seamless API access to crop-specific historical vegetation indices and high-resolution scientific-level weather data, supporting both predefined geometries (U.S. counties, Brazilian municipios, French communes) and custom user-defined regions.

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API Access

Insurance Portfolio Management is available through APIs for seamless integration into existing insurance platforms, plus web-based dashboards for underwriters, analysts, and executives.

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Available Indicators

Vegetation (NDVI)

Inter-calibrated Normalized Vegetation Index based on MODIS and Sentinel-3 acquisitions. Global coverage to present with daily updates. EarthDaily Constellation Data integration will provide daily, scientific-quality, analytics-ready data for improved accuracy.

Weather: Precipitation

High-resolution (~5 km) precipitation data combining two climate datasets with advanced modeling techniques, satellite imagery, and ground truth data. Global coverage from 2004 to present with frequent updates.

NDVI Masking

Pure NDVI indicator with data masking by class: combined vegetation, combined crops, specific crop type, or pasture. Multiple crop mask layers produced before season, in-season, and end of season using internal scientific expertise and official government data sources (USDA, Agence de Service et de Paiement, Canadian Soil Information Service). Global coverage from 2004 to present.

Weather: Soil Moisture

High-resolution (9 km) soil moisture data with daily updates, combining advanced land surface modeling and observational data assimilation for precise, consistent, long-term records. Global coverage from 2004 to present.

Who Benefits from Parametric Data Service

Actuaries

Design and validate parametric indices using 20+ years of consistent environmental data across global agricultural regions.

Data Scientists:

Build and backtest parametric models with high-resolution weather and vegetation datasets ready for analysis pipelines.

Insurers and Reinsurers:

Develop innovative parametric products for agricultural risk management, backed by scientific-quality satellite and weather data.

Financial Institutions:

Create data-driven agricultural risk management solutions tailored to real-world growing conditions.

Historical vegetation indices (NDVI with crop-specific masking) and weather data (precipitation and soil moisture), all with global coverage from 2004 to present.

Yes. The API supports both predefined administrative boundaries (U.S. counties, Brazilian municipios, French communes) and custom user-defined polygons.

All indicators provide coverage from 2004 to the present, delivering 20+ years of consistent data for index design and backtesting.

The Parametric Data Service combines weather data with agriculture-specific vegetation indices and crop masking layers, purpose-built for agricultural parametric index design. All data sources are cross-calibrated for consistency.

Insurance Portfolio Management covers the full policy lifecycle for indemnity-based agricultural insurance (underwriting, monitoring, claims). Parametric Data Service provides the foundational datasets for designing parametric insurance products, which operate on a fundamentally different trigger-based payout model.
Contact EarthDaily to discuss your parametric index requirements and access API documentation.

Next Steps

  • Explore API documentation via Swagger UI, ReDoc, or the interactive Sandbox
  • Schedule a consultation to discuss your parametric index design requirements
  • Request sample data for your target regions and indicators