Measuring Tree Height Using Pictometry Hyperspatial Imagery

Daniel Unger; David Kulhavy; Matthew A. Wade; I-Kuai Hung

Measuring Tree Height Using Pictometry Hyperspatial Imagery

Daniel Unger, David Kulhavy, Matthew A. Wade, I-Kuai Hung

Forestry

Producción científica: Paper

Resumen

Trees within Nacogdoches, Texas were measured for height using Pictometry hyperspatial imagery at 4 inch spatial resolution. Trees measured included baldcypress located on LaNana Creek as part of a hybrid analysis study. Baldcypress, Taxodiumdistichum, was planted along La Nana Creek, Nacogdoches, Texas, for erosion control and as a test bank for growth of the species genotypes. Each tree was located with GPS and entered into the GIS data base in the Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University. Actual tree height, measured using a height pole in 0.1 inch increments, was compared to tree height measured onscreen using Pictometry hyperspatial 4 inch spatial digital imagery. Remotely sensed tree height using Pictometry digital imagery was within 2.5 percent of actual height.

Results indicate that hyperspatial digital imagery is an effective and cost effective method to measure tree height in lieu of in situ measurements.

Idioma original	Undefined/Unknown
Estado	Published - ene 1 2014

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Measuring Tree Height Using Pictometry Hyperspatial Imagery

http://scholarworks.sfasu.edu/spatialsci/29

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title = "Measuring Tree Height Using Pictometry Hyperspatial Imagery",

abstract = "Trees within Nacogdoches, Texas were measured for height using Pictometry hyperspatial imagery at 4 inch spatial resolution. Trees measured included baldcypress located on LaNana Creek as part of a hybrid analysis study. Baldcypress, Taxodiumdistichum, was planted along La Nana Creek, Nacogdoches, Texas, for erosion control and as a test bank for growth of the species genotypes. Each tree was located with GPS and entered into the GIS data base in the Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University. Actual tree height, measured using a height pole in 0.1 inch increments, was compared to tree height measured onscreen using Pictometry hyperspatial 4 inch spatial digital imagery. Remotely sensed tree height using Pictometry digital imagery was within 2.5 percent of actual height. Results indicate that hyperspatial digital imagery is an effective and cost effective method to measure tree height in lieu of in situ measurements.",

author = "Daniel Unger and David Kulhavy and Wade, {Matthew A.} and I-Kuai Hung",

year = "2014",

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TY - CONF

T1 - Measuring Tree Height Using Pictometry Hyperspatial Imagery

AU - Unger, Daniel

AU - Kulhavy, David

AU - Wade, Matthew A.

AU - Hung, I-Kuai

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Trees within Nacogdoches, Texas were measured for height using Pictometry hyperspatial imagery at 4 inch spatial resolution. Trees measured included baldcypress located on LaNana Creek as part of a hybrid analysis study. Baldcypress, Taxodiumdistichum, was planted along La Nana Creek, Nacogdoches, Texas, for erosion control and as a test bank for growth of the species genotypes. Each tree was located with GPS and entered into the GIS data base in the Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University. Actual tree height, measured using a height pole in 0.1 inch increments, was compared to tree height measured onscreen using Pictometry hyperspatial 4 inch spatial digital imagery. Remotely sensed tree height using Pictometry digital imagery was within 2.5 percent of actual height. Results indicate that hyperspatial digital imagery is an effective and cost effective method to measure tree height in lieu of in situ measurements.

AB - Trees within Nacogdoches, Texas were measured for height using Pictometry hyperspatial imagery at 4 inch spatial resolution. Trees measured included baldcypress located on LaNana Creek as part of a hybrid analysis study. Baldcypress, Taxodiumdistichum, was planted along La Nana Creek, Nacogdoches, Texas, for erosion control and as a test bank for growth of the species genotypes. Each tree was located with GPS and entered into the GIS data base in the Arthur Temple College of Forestry and Agriculture, Stephen F. Austin State University. Actual tree height, measured using a height pole in 0.1 inch increments, was compared to tree height measured onscreen using Pictometry hyperspatial 4 inch spatial digital imagery. Remotely sensed tree height using Pictometry digital imagery was within 2.5 percent of actual height. Results indicate that hyperspatial digital imagery is an effective and cost effective method to measure tree height in lieu of in situ measurements.

M3 - Paper

ER -