Forest Structure, Microclimate, and Fuel Moisture Data from 24 Northeastern US Plots, 2023

Data from a project by Peter Breigenzer testing forest structure impacts on understory microclimate and fuel moisture. The datasets include forest structure from inventories and terrestrial laser scanning, understory temperature and humidity, and repeated fuel moisture measurements. Measurements were taken at 24 plots across two locations in the northeastern United States during the summer of 2023.

Use Cases

• Modeling understory microclimate based on forest structure measurements.
• Analyzing relationships between canopy metrics from laser scanning and fuel moisture content.
• Calibrating or validating wildfire behavior models with field-measured fuel moisture data.

Strengths

• Includes multiple integrated data types: forest inventory, 3D laser scanning, microclimate sensors, and repeated fuel moisture measurements.
• Data collection is spatially explicit across 24 plots in two distinct forest locations.
• Measurements are temporally specific to the summer of 2023, providing a seasonal snapshot.

Limitations

• The dataset size is listed as 0.0 B, indicating a limited scope or potential metadata placeholder.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.

Provenance

Source

Peter Breigenzer via figshare.

Collection Method

Field measurements from traditional forest inventories, terrestrial laser scanning, microclimate sensors, and manual fuel moisture sampling.

Time Range

Summer 2023.

Freshness

Last updated 2026-04-22 06:37:03; freshness should be verified.

Geography

Two forest locations in the northeastern United States.