11 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 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 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...

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....

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

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 F3.3,...

This dataset provides the macroplot geographical location data where Leica BLK360 G1 terrestrial LiDAR scans, radiometers, and infrared cameras were utilized to characterize...

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 2025, conducted April 14, 2025 to April 18,...

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...