Applying LiDAR Individual Tree Detection to Management of Structurally Diverse Forest LandscapesAuthor(s): Sean Jeronimo; Van Kane; Derek Churchill; Robert McGaughey; Jerry F. Franklin
Source: Journal of Forestry. 116(4): 336-346.
Publication Series: Scientific Journal (JRNL)
Station: Pacific Northwest Research Station
Download Publication (26.0 MB)
LiDAR individual tree detection (ITD) is a promising tool for measuring forests at a scale that is meaningful ecologically and useful for forest managers. However, most ITD research evaluates methods over small homogeneous areas, while many forest managers work over large, complex landscapes. We investigated how ITD results varied across diverse structural conditions in California’s Sierra Nevada mixed-conifer forests and what this taught us about when and how to apply ITD. Our results suggest that it is advantageous to use ITD when it improves analysis interpretability, when measuring horizontal patterns, or when field data are unavailable. In the latter case, it is best to focus on measures dominated by large trees, like basal area and biomass. Thinking of ITD results as "tree-approximate objects" including one dominant tree and up to a few subordinate tree respects LiDAR’s strengths and limitations; we illustrate how this concept keeps analyses consistent across varying structural conditions.
- Visit PNW's Publication Request Page to request a hard copy of this publication.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationJeronimo, Sean M A; Kane, Van R; Churchill, Derek J; McGaughey, Robert J; Franklin, Jerry F. 2018. Applying LiDAR individual tree detection to management of structurally diverse forest landscapes. Journal of Forestry. 116(4): 336-346. https://doi.org/10.1093/jofore/fvy023
KeywordsLiDAR, individual tree detection, forest landscape management, Yosemite National Park, Sierra National Forest.
- Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park
- Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes
- The influence of conifer forest canopy cover on the accuracy of two individual tree measurement algorithms using lidar data
XML: View XML