Historical Time Series Biomass Modeling: To Train on Plots or
Pixels?
With Michael J. Mahoney, and Colin M. Beier
Invited talk, FIA Science Stakeholder Meeting, Virtual, Novermber 15
2022.
Broad‑scale forest biomass mapping: generating contiguous
high‑resolution predictions using a spatio‑temporal patchwork of LiDAR
coverages across a mixed‑use landscape.
With Michael J. Mahoney, Colin M. Beier, and Eddie
Bevilacqua
Regular talk, American Geophysical Union Fall Meeting, New Orleans LA,
December 15 2021.
Slides available at https://lucas-johnson.github.io/agu-2021/slides.html
Greening Up Before Growing Up: Challenges in Modeling Forest
Biomass Recovery Post‑Harvest Using Satellite Imagery.
With Michael J. Mahoney and Colin M. Beier
Regular talk, Society of American Foresters National Convention,
Virtual, November 2021.
Slides available at https://lucas-johnson.github.io/saf-2021/slides.html
Filtering ground noise from LiDAR returns produces inferior
models of forest aboveground biomass.
With Michael J. Mahoney (lead
author), and Colin M.
Beier
Regular talk, North American Forest Ecology Workshop (Virtual), June 20
2022.
Slides available at https://mikemahoney218.github.io/2022-06-20_NAFEW_ground_filtering/slides.html
Filtering ground noise from LiDAR returns produces inferior
models of forest aboveground biomass.
With Michael J. Mahoney (lead
author), Colin M.
Beier, and Eddie
Bevilacqua
Poster presentation, American Geophysical Union Fall Meeting, New
Orleans LA, December 15 2021.