Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest , Fuel , and Fire Management at Eglin Air Force Base , Florida , USA

@inproceedings{Hudak2016MappingFS,
  title={Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest , Fuel , and Fire Management at Eglin Air Force Base , Florida , USA},
  author={Andrew Thomas Hudak and Benjamin C. Bright and Scott M. Pokswinski and E. Louise Loudermilk and Joseph J. O’Brien and Benjamin Hornsby and Carine Klauberg and Carlos Alberto Silva},
  year={2016}
}
Eglin Air Force Base (AFB) in Florida, in the United States, conserves a large reservoir of native longleaf pine (Pinus palustris Mill.) stands that land managers maintain by using frequent fires. We predicted tree density, basal area, and dominant tree species from 195 forest inventory plots, low-density airborne LiDAR, and Landsat data available across the entirety of Eglin AFB. We used the Random Forests (RF) machine learning algorithm to predict the 3 overstory responses via univariate… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 77 references

Forest ecosystem processes at the watershed scale: sensitivity to remotely-sensed leaf area index estimates.

R. Nemani, L. Pierce, S. Running, L. Band
International Journal of Remote Sensing, Vol. 14(No • 1993
View 8 Excerpts
Highly Influenced

Assessing effects of positioning errors and sample plot size on biophysical stand properties derived from airborne laser scanner data.

T. Gobakken, E. Næsset
Canadian Journal of Forest Research, • 2009
View 3 Excerpts
Highly Influenced

Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass.

G. W. Frazer, S. Magnussen, M. A. Wulder, K. O. Niemann
Remote Sensing of Environment, • 2011
View 2 Excerpts
Highly Influenced

Forest floor depth mediates understory vigor in xeric Pinus palustris ecosystems.

Ecological applications : a publication of the Ecological Society of America • 2007
View 3 Excerpts
Highly Influenced

The statistical efficiency of sample plot size and shape in forest ecology.

F. H. Bormann
Ecology, Vol • 1953
View 2 Excerpts
Highly Influenced

“ The statistical efficiency of sample plot size and shape in forest ecology “ Random forests “ Fire regimes in southeastern ecosystems

F. H. Bormann
Fire regimes and ecosystem properties • 1953
View 1 Excerpt
Highly Influenced

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