TreeMap 2022: Forest Stand Density Rasters for the Continental United States

Emmerson Chivhenge provides 30-meter resolution raster data for three forest size-density metrics across the continental United States. The dataset includes Stand Density Index (SDI), Maximum Stand Density Index (SDImax), and Relative Density (RD). It was generated by integrating field measurements from the Forest Inventory and Analysis (FIA) program with spatial modeling from the TreeMap 2022 dataset.

Use Cases

• Modeling forest growth and mortality based on stand density metrics.
• Assessing forest health and resilience using relative density ratios.
• Mapping spatial patterns of forest structure across the continental United States.
• Calibrating or validating ecological models with wall-to-wall raster data.

Strengths

• Wall-to-wall coverage for the continental United States.
• 30-meter spatial resolution for detailed analysis.
• Derived from the publicly available TreeMap 2022 dataset and FIA plot data.
• Includes three complementary metrics: SDI, SDImax, and RD.

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 methodological bias inherent to the source models.

Provenance

Source

TreeMap 2022 dataset and Forest Inventory and Analysis (FIA) plot data.

Collection Method

Integration of field-based measurements and spatial modeling following a published methodology.

Freshness

Last updated 2026-04-22 06:55:35; freshness should be verified.

Geography

Continental United States.