A standardized, cost-effective, and repeatable remote sensing methodology to quantify forested resources in Texas

Dan Unqer; James Kroll; I. Kuai Hung; Jeffrey Williams; Dean Coble; Jason Grogan

doi:10.1093/sjaf/32.1.12

A standardized, cost-effective, and repeatable remote sensing methodology to quantify forested resources in Texas

Dan Unqer, James Kroll, I. Kuai Hung, Jeffrey Williams, Dean Coble, Jason Grogan

Forestry

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	12-20
Number of pages	9
Journal	Southern Journal of Applied Forestry
Volume	32
Issue number	1
DOIs	https://doi.org/10.1093/sjaf/32.1.12
State	Published - Feb 2008

ASJC Scopus Subject Areas

Forestry
Plant Science

Keywords

Accuracy
Forest
Forest inventory and analysis
Land cover
Landsat

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10.1093/sjaf/32.1.12

Cite this

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title = "A standardized, cost-effective, and repeatable remote sensing methodology to quantify forested resources in Texas",

keywords = "Accuracy, Forest, Forest inventory and analysis, Land cover, Landsat",

author = "Dan Unqer and James Kroll and Hung, {I. Kuai} and Jeffrey Williams and Dean Coble and Jason Grogan",

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AU - Unqer, Dan

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AU - Hung, I. Kuai

AU - Williams, Jeffrey

AU - Coble, Dean

AU - Grogan, Jason

PY - 2008/2

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KW - Forest

KW - Forest inventory and analysis

KW - Land cover

KW - Landsat

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ER -

A standardized, cost-effective, and repeatable remote sensing methodology to quantify forested resources in Texas

ASJC Scopus Subject Areas

Keywords

Access to Document

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