Accurate information about three-dimensional canopy structure and wildland fuel across the landscape is necessary for fire behaviour modelling system predictions. Remotely sensed data are invaluable for assessing these canopy characteristics over large areas; lidar data, in particular, are uniquely suited for quantifying three-dimensional canopy structure. Although lidar data are increasingly available, they have rarely been applied to wildland fuels mapping efforts, mostly due to two issues. First, the Landscape Fire and Resource Planning Tools (LANDFIRE) program, which has become the default source of large-scale fire behaviour modelling inputs for the US, does not currently incorporate lidar data into the vegetation...
ScienceBase brings together the best information it can find about USGS researchers and offices
to show connections to publications, projects, and data. We are still working to improve this
process and information is by no means complete. If you don't see everything you know is associated
with you, a colleague, or your office, please be patient while we work to connect the dots.
Feel free to contact email@example.com.