Title: Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurments of height and crown dimensions
Author: Roberts, Scott D.; Dean, Thomas J.; Evans, David L.; McCombs, John W.; Harrington, Richard L.; Glass, Partick A.;
Source: Forest Ecology and Management 213 (2005) 54-70
Publication Series: Miscellaneous Publication
Description: Accurate estimates of leaf area index (LAI) could provide useful information to forest managers, but due to difficulties in measurement, leaf area is rarely used in decision-making. A reliable approach to remotely estimating LA1 would greatly facilitate its use in forest management. This study investigated the potential for using small-footprint iDAR, a laser-based remote sensing tool capable of characterizing the vertical structure of forest vegetation, to generate estimates of individual tree leaf area based on LiDAR-derived estimates of tree height and crown dimensions. At a 16-year-old lobloily pine spacing trial in Mississippi, LiDAR-derived estimates of leaf area based on height and crown diameter were on average within 0.1 m2 of groundbased estimates for trees on plots initially planted at a 1.5 m x 1.5 m spacing. For trees on plots originally planted at square spacings of 2.4 m and 3.0 m, LiDAR-based leaf area estimates were below ground-based estimates by 5.8 m2 and 14.5 m2, respectively. At a study site in Texas, LiDAR-derived estimates of leaf area for 4-year-old loblolly pine were, on average, within 0.4 m2 of ground-based estimates. Errors in leaf area estimates were largely due to the inability to generate accurate LiDAR-based estimates of crown dimensions. Tree heights were accurately estimated with LiDAR at both locations, but crown diameter and vertical crown dimensions at the Mississippi site were underestimated on average by 21% and 3%, respectively.
Keywords: Crown width, crown depth, leaf area index, remote sensing
- 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.
- You may send email to email@example.com to request a hard copy of this publication. (Please specify exactly
which publication you are requesting and your mailing address.)
XML: View XML
Roberts, Scott D.; Dean, Thomas J.; Evans, David L.; McCombs, John W.; Harrington, Richard L.; Glass, Partick A. 2005. Estimating individual tree leaf area in loblolly pine plantations using LiDAR-derived measurments of height and crown dimensions. Forest Ecology and Management 213 (2005) 54-70
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility