Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem

E. Louise Loudermilk; Scott Pokswinski; Christie Hawley; Aaron Maxwell; Michael R. Gallagher; Nicholas Skowronski; Andrew T. Hudak; Chad Hoffman; John Kevin. Hiers

doi:10.3390/fire6040151

Treesearch

Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem

Formally Refereed

Authors:

E. Louise Loudermilk, Scott Pokswinski, Christie Hawley, Aaron Maxwell, Michael R. Gallagher, Nicholas Skowronski, Andrew T. Hudak, Chad Hoffman, John Kevin. Hiers

Year:

2023

Type:

Scientific Journal

Station:

Southern Research Station

DOI:

https://doi.org/10.3390/fire6040151

Source:

Fire

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Download (PDF 1.26 MB): https://research.fs.usda.gov/download/treesearch/66840.pdf

Keywords

longleaf pine, wildland fire, fuels, biomass, laser scanning

Citation

Loudermilk, Eva Louise; Pokswinski, Scott; Hawley, Christie M.; Maxwell, Aaron; Gallagher, Michael R.; Skowronski, Nicholas S.; Hudak, Andrew T.; Hoffman, Chad; Hiers, John Kevin. 2023. Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem. Fire. 6(4): 151-. https://doi.org/10.3390/fire6040151.