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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... -
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... -
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,... -
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... -
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... -
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... -
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... -
Tree and Sapling Observations from the 2022 Department of Defense Wildland...
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... -
Ignition tracking data on prescribed fires at Fort Stewart Army Base 2025
Ignition tracking data collected with Garmin GPS units and Go Pro video recorders for prescribed fire research. Ignitions for the Ft. Stewart 2025 prescribed burns were... -
Fort Stewart 2024: Contextual data for Wildland Fire Science Initiative...
This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2024, conducted on February 8-10, 2024, in... -
Fuel Moisture Content Data from the 2024 Department of Defense Wildland Fire...
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 to E16... -
WFSI Fort Stewart 2022, 2024 and Eglin Air Force Base 2023 Research Burn...
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... -
Fire Dynamic Vision for tracking fire and plume behavior across scales: Case...
Sample data and Fire Dynamic Vision (FDV) code for experiments in the paper: Sagel, D., & Quaife, B. (2025). Fire dynamic vision: Image segmentation and tracking for multi-... -
Pyrolysis Gases Produced by Fast and Slow Pyrolysis of Foliage Samples from...
A flat flame burner was used in conjunction with a radiant panel to perform fast pyrolysis of foliage samples from 15 common fuels from the southeastern United States. A...