-
Pyrolysis Gases Measured by FTIR Spectroscopy in a Wind Tunnel and at Ft. Jackson, SC
This data set contains pyrolysis gas composition resulting from experimental fires in longleaf pine fuel beds burned in a wind tunnel and in small experimental fires at Ft.... -
Leica BLK360 G1 Terrestrial LiDAR Scans from the 2022 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... -
Tree woody biomass, annual deposition, and downed woody debris estimates for...
This data product includes estimates of tree woody biomass (kg m-2), tree woody fuel deposition (kg m-2 yr-1), and downed woody debris (kg m-2) estimated at a 2-year fire return... -
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,... -
Airborne Lidar Data from the Fort Stewart 2025 Wildland Fire Science...
This dataset contains airborne light detection and ranging (lidar) data across burn units E11.1, E16.2, E16.3, F3.3, F6.6, F8.1 and F8.2 in Fort Stewart, GA. Kucera... -
Tree woody biomass, annual deposition, and downed woody debris estimates for...
This data product includes estimates of fuels corresponding to tree biomass (kg m-2), tree woody fuel deposition (kg m-2 yr-1), and downed woody debris (DWD, kg m-2) estimated... -
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... -
Fort Stewart 2025: three-dimensional wind and temperature
Ambient wind conditions were collected for two prescribed burns at Fort Stewart using two sonic anemometers (81000v, R.M. Young Inc.) set up on the upwind of each burn unit.... -
Ignition tracking data on prescribed fires at Ft. Stewart Army Base 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... -
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... -
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... -
Aerosol Data: Particulate Matter (PM2.5) mass and Black Carbon (BC)...
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... -
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... -
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... -
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,... -
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,... -
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... -
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... -
Fuel Moisture Content Data collected at the Winter Burn Plots located at...
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... -
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...