Random Forest Model Map of Log Yards for the Conterminous United States, 2019-2021

Alison L. Ritz published a vector map of 1,787 random forest model-detected log yards across the conterminous United States. The model was trained on National Agriculture Imagery Program (NAIP) embeddings from 2019 to 2021. These data were generated to predict forest product mill locations and monitor timber market trends.

Use Cases

• Predicting forest product mill locations based on detected log yard point data.
• Monitoring trends in timber markets using the identified log yard locations.
• Analyzing regional forestry activity and supply chain infrastructure across the conterminous United States.

Strengths

• Contains 1,787 distinct point locations for log yards.
• Model was trained on NAIP satellite imagery embeddings from 2019 to 2021.
• Released under a permissive CC0-1.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic or temporal bias inherent to the NAIP imagery source.

Provenance

Source

Alison L. Ritz

Collection Method

Random forest model trained on NAIP satellite imagery embeddings.

Time Range

2019-2021

Freshness

Last updated 2026-05-22 05:45:15; freshness should be verified.

Geography

Conterminous United States (CONUS)