62 datasets found

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...

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

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...

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...

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...

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...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, clip plot, macroplot, and hemispherical...

Destructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and...

The following dataset contains thermocouple (TC), heat flux gauge (HFG), infrared (IR), and GoPro Video data for wind-driven flame spread experiments through 4-6cm deep longleaf...

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-...

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...

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...

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...

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....

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...

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....