1,507 datasets found

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

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 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...

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...

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

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...

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, transects were utilized to sample coarse...

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

Field measurements collected before and after 2023 study fires at Eglin Air Force Base (AFB) to document fuel loads (large diameter fuels, litter depth, duff depth) and trees in...

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 contextual information for the Wildland Fire Science Initiative (WFSI) research burn campaign: Fort Stewart 2022, conducted March 2, 2022 to March 5, 2022...

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

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...

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-...

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...