266 datasets found

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...

A network of a dozen sonic anemometers measured the near-surface winds and temperatures surrounding the burn zone. Three SODARs (Sonic Detection and Ranging) profiled the plume...

This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...

This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Eglin Air Force Base 20223, conducted on March 11-19, 2023,...

Ignition tracking data collected with Garmin GPS and Go Pro recorders for prescribed fire research. Ignitions for the Eglin research prescribed burns were completed with terra...

This data product contains point cloud data collected with a terrestrial laser scanner (TLS) at the Macon Study of Dormant Season Prescribed Fire burn units within Osceola...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...

To measure fuel moisture content, vegetation was collected at adjacent burn units with similar land cover, species composition, and time since the last prescribed burn. This...

Trees and saplings were measured within 61 fixed-radius plots to characterize overstory vegetation across the E, F-6.3, and F-6.4 burn units. This dataset is part of the...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive 3D clip plots were sampled across...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse...

This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2022, conducted March 2, 2022 to March 5, 2022...

Ignition tracking data for the prescribed fire research campaign conducted at Ft. Stewart Army Base (2022). This data can be used to coordinate other prescribed fire datasets...

Fire weather and micrometeorological data collected from a modified Campbell Scientific Inc. remote automated weather station (RAWS-F). The station was deployed adjacent to the...

This dataset contains fuel moisture data collected prior to 2022 prescribed burns on US army base Fort Stewart in longleaf pine-wiregrass ecosystems. Fuel moisture samples were...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, clip plot, macroplot, and hemispherical...

Destructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and...