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Presentation
Evaluating Tree Height Using Pictometry® Hyperspatial Imagery
Faculty Publications
  • Daniel Unger, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University
  • David Kulhavy, Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University
  • Matthew A. Wade
Document Type
Presentation
Publication Date
1-1-2013
Abstract
This study evaluated the use of Pictometry® hyperspatial 4-inch (10.2 centimeters) multispectral imagery to estimate height of baldcypress trees on the campus of Stephen F. Austin State University (SFASU), Nacogdoches, Texas. Actual tree heights of 60 baldcypress trees measured with a telescopic height pole were compared to Pictometry® estimated tree height. Linear correlation coefficients (r) and coefficient of determinations (R2) between actual tree height and Pictometry® estimated tree height for all 60 tress, and the shortest 30 and tallest 30 trees, were calculated. A paired t-test (alpha = 0.05) was calculated for all 60 tress, and the shortest 30 and tallest 30 trees, to test for statistical significance between actual and estimated tree height. The objective was to ascertain if Pictometry® estimated tree height could be used in lieu of field-based tree height estimation for open grown urban trees.
Citation Information
Daniel Unger, David Kulhavy and Matthew A. Wade. "Evaluating Tree Height Using Pictometry® Hyperspatial Imagery" (2013)
Available at: http://works.bepress.com/david_l_kulhavy/40/