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A Physics-Based Model of Thermodynamically Varying Fuel Moisture Content for...
Fuel moisture content (FMC) is a critical parameter in fire and plume behaviors, showing diurnal and spatial variations influenced by local meteorological conditions, soil... -
Clip Plot and Macroplot Photographs Collected at the 2022 Department of...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots... -
Fort Stewart 2025: Contextual data for Wildland Fire Science Initiative...
This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2025, conducted April 14, 2025 to April 18,... -
Offset Elliptical Normal Parameters for Wind Climate of USA Prescribed...
The dataset presents parameters of the Offset Elliptical Normal model for wind climate analysis. Parameters have been obtained for sites across the USA where prescribed burning... -
Ignition tracking data on prescribed fires at Ft. Stewart Army Base 2024
Ignition tracking data collected with Garmin GPS and Go Pro recorders for prescribed fire research. Ignitions for the Ft. Stewart 2024 prescribed burns were completed primarily... -
Vegetation Biomass, Voxel, and Macroplot Geographical Location Data...
Destructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and... -
Biomass field observations, terrestrial laser scanning point clouds, and...
This data product contains 1) weights of destructively sampled biomass, 2) terrestrial laser scanning (TLS) point cloud data, and 3) maps of predicted biomass and consumption... -
Near-surface winds and smoke plume profiles -- field measurements during the...
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... -
Transect and Overstory Data from the 2024 Department of Defense Wildland...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample overstory,... -
Terrestrial laser scanner (TLS) point cloud data gathered in the Macon Study...
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... -
Leica BLK360 G1 Terrestrial LiDAR Scans from the 2024 Department of Defense...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were... -
Transect Data from the 2022 Department of Defense Wildland Fire Science...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse... -
Fuels and Vegetation Macroplot Geographical Location Data Collected at the...
This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and... -
Clip Plot, Macroplot, and Hemispherical Photographs Collected at the Winter...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, clip plot, macroplot, and hemispherical... -
Field measurements of coarse wood, duff, litter, and trees for the Eglin Air...
Field measurements collected before and after 2023 study fires at Eglin Air Force Base (AFB) to document fuel loads (large diameter fuels, litter depth, duff depth) and trees in... -
Field measurements of fire behavior; fire radiative power and energy from...
Field measurements collected during the 2023 study fires at Eglin Air Force Base (AFB) to calculate Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared... -
Vegetation Biomass Data from the 2024 Department of Defense Wildland Fire...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across... -
Clip Plot and Macroplot Photographs Collected at the 2024 Department of...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots... -
Fort Stewart 2022: Contextual data for Wildland Fire Science Initiative...
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... -
Fuels and Vegetation Macroplot Geographical Location Data Collected at the...
This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...