Seamless Fractional Vegetation Cover with High Spatiotemporal Resolution

An 8-day temporal resolution dataset provides continuous global vegetation monitoring for one year. The data is stored as 16-bit integers with a scaling factor of 0.0001, representing effective fractional vegetation cover values from 0 to 1. Authored by Guofeng Tao and last updated in May 2026, this 1.4 GB dataset is shared under a CC-BY-4.0 license.

Use Cases

• Monitoring vegetation growth cycles based on the 8-day temporal resolution data.
• Validating land surface models using the seamless, high-resolution fractional vegetation cover.
• Analyzing seasonal and inter-annual vegetation changes based on the year-long time series.

Strengths

• High spatiotemporal resolution with an 8-day interval for one year of continuous data.
• Data values are precisely scaled, with raw integers from 0-10,000 representing a 0-1 fractional cover range.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• The specific geographic coverage is not detailed in the provided metadata.

Provenance

Source

figshare

Collection Method

Generated by reconstructing multi-sensor satellite data, considering temporal dynamics and spectral covariation.

Time Range

One year (example data from 2020 is provided).

Freshness

Last updated 2026-05-14 04:19:22; freshness should be verified.