46 datasets found

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...

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...

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

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 E16...

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...

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-...

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...

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

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...

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...

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...

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....

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...

To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive 3D clip plots were sampled across...

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...

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...

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...

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...

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