Soil Science

Skip Navigation LinksHome > July 2013 - Volume 178 - Issue 7 > Temporal Analysis of Field, SSURGO, and LiDAR-Derived Site I...
Text sizing:
Soil Science:
doi: 10.1097/SS.0b013e3182a743e5
Technical Article

Temporal Analysis of Field, SSURGO, and LiDAR-Derived Site Indices in the Southeastern United States

Ham, Steven A.1; Mikhailova, Elena A.1; Gering, Lawrence R.1; Post, Christopher J.1; Bridges, William C.2; Cox, Silas K.1

Collapse Box


Abstract: Sustainable forest and soil management requires accurate information about site index (tree height at a base age). The objectives of this study were to compare site indices from field inventory data (2008–2009), Soil Survey Geographic Database (SSURGO), and Light Detection and Ranging (LiDAR) and to determine the uncertainty in the site indices from the southern part of the Clemson Experimental Forest. When LiDAR-derived analysis was used to compare with SSURGO, there were statistical differences for site indices for all of the tree species in this study: loblolly pine (Pinus taeda), scarlet oak (Quercus coccinea), shortleaf pine (Pinus echinata), white oak (Quercus alba), and yellow poplar (Liriodendron tulipifera). The LiDAR has the potential to provide reliable and rapid estimates of site index variability within the soil map units. Loblolly pine and shortleaf pine had the greatest statistical differences, with the LiDAR-derived site indices being much larger than the SSURGO values. The results of this study indicate that a larger sample size for LiDAR is a better option to decrease variation and that the map unit level may be the best option.

© 2013Wolters Kluwer Health | Lippincott Williams & Wilkins




Article Tools


Article Level Metrics

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.