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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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Aerosol Data: Particulate Matter (PM2.5) mass and Black carbon (BC) concentra...
The data is collected at one Georgia Tech (GT) instrumented trailer and one University of Central Florida (UCF) instrumented trailer located at different locations (shown in the...- 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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Annual Burn Probability
Annual Burn Probability represents the likelihood of a wildfire of any intensity occurring at a given location (pixel) in a single fire season. In a complete assessment of...- WMS
- WCS
- GeoTiff
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Fire Return Interval Departure (Frid) - Mean Condition Class
This metric, uses the mean percent FRID to a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that...- WMS
- WCS
- GeoTiff
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Fire Return Interval Departure (Frid) - Mean Percent - Since 1970
Percent FRID (PFRID) quantifies the extent in percentage to which recent fires (i.e., since 1970) are burning at frequencies similar to those that occurred prior to...- WMS
- WCS
- GeoTiff
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Fire Return Interval Departure (Frid) - Current Fire Return Interval -Since 1970
The fire return interval departure (FRID) analysis quantifies the difference between current and pre-settlement fire frequencies, allowing managers to target areas at high risk...- WMS
- WCS
- GeoTiff
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Fire Return Interval Departure (Frid) - Mean Percent - Since 1908
This metric, mean percent FRID, is a measure of the extent to which contemporary fires (i.e., since 1908) are burning at frequencies similar to the frequencies that occurred...- WMS
- WCS
- GeoTiff
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Fire Return Interval Departure (Frid) - Current Fire Return Interval - Since ...
The fire return interval departure (FRID) analysis quantifies the difference between current and pre-settlement fire frequencies, allowing managers to target areas at high risk...- WMS
- WCS
- GeoTiff
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NEON MDP / Sage / WIFIRE BP3D: Konza Prairie Burn Experiment
The Konza Prairie Biological Station, located in the Flint Hills of northeastern Kansas, is one of the last native tallgrass prairies. Working with the Konza Prairie Station,...- pkl
- ndjson
- ZIP
- HTML
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Interagency Treatment Dashboard: Footprint Report (Version 1.1)
WildfireTaskForce.org As California works toward ambitious wildfire and landscape resilience goals, transparency and effective planning tools are critical to success. The...- GDB
- WMS
- WFS
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Interagency Treatment Dashboard: Footprint Report (Version 1.0)
WildfireTaskForce.org As California works toward ambitious wildfire and landscape resilience goals, transparency and effective planning tools are critical to success. The...- GDB
- WMS
- WFS
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Interagency Treatment Dashboard: Activity Report (Version 1.0)
WildfireTaskForce.org As California works toward ambitious wildfire and landscape resilience goals, transparency and effective planning tools are critical to success. The...- GDB
- WMS
- WFS
You can also access this registry using the API (see API Dokumentáció).