VIIRS/JPSS1: Gap-Filled Yearly Evapotranspiration at 500m

Yearly composites from 2012 onward provide global land surface data on actual and potential evapotranspiration (ET/PET) and latent heat flux (LE/PLE) at a 500-meter resolution. The dataset is derived from NOAA-20 VIIRS satellite data and meteorological reanalysis using a Penman-Monteith algorithm, with gap-filling applied to vegetation inputs for quality. It is produced annually, not in near-real-time, and includes quality control layers.

Use Cases

• Modeling regional water budgets based on yearly summed evapotranspiration values.
• Assessing surface energy balance using averaged latent heat flux layers.
• Monitoring agricultural water use and drought conditions from gap-filled vegetation property inputs.
• Validating land surface models with satellite-derived, quality-controlled ET and PET estimates.

Strengths

• Provides gap-filled data, cleaning poor-quality inputs via linear interpolation based on quality control labels.
• Offers a high spatial resolution of 500 meters for detailed land surface analysis.
• Integrates multiple data sources, including daily meteorological reanalysis and VIIRS vegetation dynamics.

Limitations

• Not available in near-real-time; data is generated only at the end of each calendar year.
• Metadata on specific column names, row counts, and dataset size is unavailable across all sources.
• Relies on reanalysis data and satellite retrievals, which may introduce inherent uncertainties.

Provenance

Source

LPCLOUD, derived from NOAA-20 VIIRS satellite and meteorological reanalysis data.

Collection Method

Algorithm based on the Penman-Monteith equation applied to gap-filled yearly composites.

Time Range

Yearly composites, likely starting with the NOAA-20/VIIRS mission (launch 2017).

Freshness

2026-04-09 21:08:32.683024

Geography

Global land surface.