NASA POWER API
Agriculture · Weather & Environment
The NASA POWER (Prediction Of Worldwide Energy Resources) API is a free data service developed by NASA that provides access to over 40 years of meteorological and solar energy data derived from NASA satellite observations and reanalysis models. POWER is designed to support renewable energy site assessment, building energy analysis, and agricultural applications, providing daily, monthly, and climatological data for any location on Earth including every Nigerian state and agricultural zone.
NASA POWER API Highlights
NASA POWER API is verified for developer integrations in Nigeria and across African markets, providing documented endpoints, sandbox testing, and developer support.
None required
Soft rate limits apply; designed for research use
Nigeria
Ghana
Kenya
AWSNASA POWER API is best for:
Agricultural weather data, solar energy modeling, and climate research requiring long-term meteorological records
- Completely free with no API key required
- NASA-funded public resource
NASA POWER API Core Features & Capabilities
Required Access Documents for NASA POWER API
- None RequiredOptionalNo registration or API key needed; query by latitude, longitude, and parameter names directly
Different NASA POWER API use cases
- Agricultural Climate Analysis for Nigerian Farms:Nigerian researchers and agritech platforms can use NASA POWER to retrieve decades of temperature, rainfall, humidity, and solar data for any Nigerian farm location, enabling crop suitability studies and climate trend analysis.
- Solar Energy Site Assessment:Nigerian renewable energy developers assessing sites for solar installations can use NASA POWER solar irradiance data to model expected annual energy production at specific Nigerian locations without expensive on-site measurement campaigns.
- Irrigation Planning for Nigerian Agriculture:Nigerian agricultural extension services can use NASA POWER evapotranspiration and rainfall data to build irrigation scheduling tools that help farmers optimize water use based on measured climate parameters rather than estimates.