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Leica BLK360 G1 Terrestrial LiDAR Scans from the 2025 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... -
Fuel Moisture Content Data from the 2025 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 F3.3,... -
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, radiometers, and infrared cameras were utilized to characterize... -
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... -
Field measurements of fire behavior; fire radiative power and energy from...
Field measurements collected during the 2025 study fires at Fort Stewart to calculate Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in... -
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,... -
Aerosol Data: Particulate Matter (PM2.5) mass and Black carbon (BC)...
The data is collected at one Georgia Tech (GT) instrumented trailer and one University of Central Florida (UCF) instrumented trailer located at different locations (shown in the... -
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 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,... -
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... -
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... -
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... -
Particulate Matter (PM2.5) data measured from prescribed burns at Fort...
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... -
Field measurements of fire behavior; fire radiative power and energy from...
Field measurements collected during the 2024 study fires at Fort Stewart to calculate Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in... -
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... -
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 2023 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 G-20... -
Vegetation Biomass Data from the 2023 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 2023 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...