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Identifying Loblolly Pine and Four Common Competing Hardwood Species Using MultiSpectral Reflectance AnalysisAuthor(s): T.C. Knight; A.W. Ezell; D.R. Shaw; J.D. Byrd; D.L. Evans
Source: Gen. Tech. Rep. SRS–71. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 336-342
Publication Series: General Technical Report (GTR)
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DescriptionMultispectral reflectance data were collected in midrotation loblolly pine plantations during spring, summer, and fall seasons with a hand-held spectroradiometer. All data were analyzed by discriminant analysis. Analyses resulted in species classifications with accuracies of 83 percent during the spring season, 54 percent during summer, and 82 percent during fall. Loblolly pine was correctly identified 100 percent of the time using the spring data. Multispectral remote sensing appears valuable in determining the level of hardwood competition within midrotation pine plantations and for separating pine from nonpine competitors.
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CitationKnight, T.C.; Ezell, A.W.; Shaw, D.R.; Byrd, J.D.; Evans, D.L. 2004. Identifying Loblolly Pine and Four Common Competing Hardwood Species Using MultiSpectral Reflectance Analysis. Gen. Tech. Rep. SRS–71. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 336-342
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