279 datasets found

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...

This dataset contains fire spread simulations generated with a physics-driven and data-driven model. The data-driven model is trained with a TensorFlow applied to data generated...

Fuel moisture content (FMC) is a critical parameter in fire and plume behaviors, showing diurnal and spatial variations influenced by local meteorological conditions, soil...

Pyrolytic and flaming combustion gases were sampled in a series of experimental fires in a small wind tunnel at the U.S. Forest Service laboratory in Riverside, CA and in 30 m x...

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....

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 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 collected during the 2025 study fires at Fort Stewart to calculate Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in...

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,...

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...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample overstory,...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...

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...

This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, destructive clip plots, photographs, transects, radiometers, and...

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...

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...

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...

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...