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Fort Stewart 2022 Prescribed Burn Campaign: Fuel Moisture Data
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...- CSV
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Fort Stewart 2022: Contextual data for Wildland Fire Science Initiative (WFSI...
This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2022, conducted March 2, 2022...- CSV
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Fort Stewart 2024: Contextual data for Wildland Fire Science Initiative (WFSI...
This dataset contains contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2024, conducted on February...- CSV
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WFSI Fort Stewart 2022, 2024 and Eglin Air Force Base 2023 Research Burn Camp...
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...- CSV
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Aerosol Data: Particulate Matter (PM2.5) mass and Black Carbon (BC) concentra...
The data is collected at one Georgia Tech instrumented trailer located at three different locations (shown in the locations information) from March 10 till 20, 2023. Trailer was...- CSV
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Transect Data from the 2022 Department of Defense Wildland Fire Science Initi...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse...- CSV
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Vegetation Biomass and Voxel Data from the 2022 Department of Defense Wildlan...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive 3D clip plots were sampled across...- CSV
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Offset Elliptical Normal Parameters for Wind Climate of USA Prescribed Burnin...
The dataset presents parameters of the Offset Elliptical Normal model for wind climate analysis. Parameters have been obtained for sites across the USA where...- CSV
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Particulate Matter (PM2.5) data measured from prescribed burns at Eglin Air F...
Atmospheric particulate matter less than or equal to 2.5 micrometers (PM2.5, units of micrograms/m3) was measured at three prescribed (Rx) burns at Eglin Air Force Base in March...- CSV
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Particulate Matter (PM2.5) data measured from prescribed burns at Fort Stewar...
Atmospheric particulate matter less than or equal to 2.5 micrometers (PM2.5, units of micrograms/m3) was measured at two prescribed (Rx) burns at Fort Stewart Georgia in...- CSV
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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...- CSV
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Tree and Sapling Observations from the 2022 Department of Defense Wildland Fi...
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...- CSV
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Biomass field observations, terrestrial laser scanning point clouds, and fuel...
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...- CSV
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Aerosol Data: Particulate Matter (PM2.5) mass and Black Carbon (BC) concentra...
The data is collected at one Georgia Tech instrumented trailer located at two different locations (shown in the locations information) from March 2 till 6, 2022. Trailer was set...- CSV
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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...- CSV
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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...- CSV
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Fuels and Vegetation Macroplot Geographical Location Data Collected at the 20...
This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...- CSV
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Fuels and Vegetation Macroplot Geographical Location Data Collected at the 20...
This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...- CSV
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Fuel Moisture Content Data collected at the Winter Burn Plots located at Osce...
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...- CSV
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Vegetation Biomass, Voxel, and Macroplot Geographical Location Data collected...
Destructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and...- CSV
