Assessing Earth Observation for EU Deforestation Regulation Compliance

Tabular data detailing deforestation assessments for individual plot boundaries, overall plots, and a subsample validated with very high-resolution and drone imagery. The dataset was authored by Seth Goodman and is hosted on Harvard Dataverse, with a last update recorded in May 2026.

Use Cases

• Validate satellite-based deforestation detection methods based on ground-truth data from drone and VHR imagery.
• Assess the accuracy of different plot boundary definitions for regulatory compliance monitoring.
• Benchmark automated Earth observation algorithms against a subsample of visually assessed plots.

Strengths

• Includes a subsample validated with very high-resolution and drone imagery, suggesting a ground-truth component.
• Focuses on a specific regulatory application (EU Deforestation Regulation).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Harvard Dataverse

Collection Method

Likely contains assessments derived from Earth observation data and visual validation.

Freshness

Last updated 2026-05-19 02:24:01; freshness should be verified.