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Transect Data from the 2022 Department of Defense Wildland Fire Science Initi...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample coarse...- CSV
- HTML
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Vegetation Biomass and Voxel Data from the 2022 Department of Defense Wildlan...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive 3D clip plots were sampled across...- CSV
- HTML
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Leica BLK360 G1 Terrestrial LiDAR Scans from the 2022 Department of Defense W...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...- HTML
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Biomass field observations, terrestrial laser scanning point clouds, and fuel...
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...- CSV
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Fuel Moisture Content Data collected at the Winter Burn Plots located at Osce...
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...- CSV
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Vegetation Biomass, Voxel, and Macroplot Geographical Location Data collected...
Destructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and...- CSV
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Clip Plot, Macroplot, and Hemispherical Photographs Collected at the Winter B...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, clip plot, macroplot, and hemispherical...- HTML
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Clip Plot and Macroplot Photographs Collected at the 2022 Department of Defen...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...- HTML
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Clip Plot and Macroplot Photographs Collected at the 2023 Department of Defen...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...- HTML
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Leica BLK360 G1 Terrestrial LiDAR Scans from the 2023 Department of Defense W...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...- HTML
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Clip Plot and Macroplot Photographs Collected at the 2024 Department of Defen...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, photographs of the clip plots and macroplots...- HTML
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Leica BLK360 G1 Terrestrial LiDAR Scans from the 2024 Department of Defense W...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, Leica BLK360 G1 terrestrial LiDAR scans were...- HTML
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Vegetation Biomass Data from the 2023 Department of Defense Wildland Fire Sci...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across...- CSV
- HTML
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Fuel Moisture Content Data from the 2023 Department of Defense Wildland Fire ...
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 G-20...- CSV
- HTML
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Fuel Moisture Content Data from the 2024 Department of Defense Wildland Fire ...
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...- CSV
- HTML
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Vegetation Biomass Data from the 2024 Department of Defense Wildland Fire Sci...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across...- CSV
- HTML
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Transect and Overstory Data from the 2024 Department of Defense Wildland Fire...
To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, transects were utilized to sample overstory,...- CSV
- HTML
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Terrestrial laser scanner (TLS) point cloud data gathered in the Macon Study ...
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...- HTML
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Tree Cover Ratio
Total tree cover as measured by the fractional non-overlapping absolute tree cover, viewed vertically. Provides a first order measure of vegetation type when combined with...- WMS
- WCS
- GeoTiff
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Shrub Cover Ratio
Total shrub cover as measured by the fractional non-overlapping absolute shrub cover, viewed vertically. Provides a first order measure of vegetation type when combined with...- WMS
- WCS
- GeoTiff