747 datasets found

The dataset includes tree inventory data (i.e., tree records) and litter and duff measurements collected before and after prescribed burning at Osceola National Forest (Florida)...

This dataset contains airborne light detection and ranging (lidar) data across burn units E16.2, E16.3, F6.3 and F6.4 in Fort Stewart, GA. Kucera International acquired airborne...

This data product contains point cloud data collected with a terrestrial laser scanner (TLS) at the Macon Study of Dormant Season Prescribed Fire burn units within Osceola...

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. This...

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...

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

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

Field measurements collected during the 2022 study fires at Fort Stewart to calculate Fire Radiative Power (FRP) and Fire Radiative Energy (FRE) from infrared cameras in...

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...

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...