Mapping giant salvinia with satellite imagery and image analysis |
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Authors: | J H Everitt R S Fletcher H S Elder C Yang |
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Institution: | (1) USDA-ARS, 2413 E. Highway 83, Weslaco, TX 78596, USA;(2) Texas Parks and Wildlife Department, Rt. 2, Box 535, Jasper, TX 75951, USA |
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Abstract: | QuickBird multispectral satellite imagery was evaluated for distinguishing giant salvinia (Salvinia molesta Mitchell) in a large reservoir in east Texas. The imagery had four bands (blue, green, red, and near-infrared) and contained
11-bit data. Color-infrared (green, red, and near-infrared bands), normal color (blue, green and red bands), and four-band
composite (blue, green, red, and near-infrared bands) images were studied. Unsupervised image analysis was used to classify
the imagery. Accuracy assessments performed on the classification maps of the three composite images had producer’s and user’s
accuracies for giant salvinia ranging from 87.8 to 93.5%. Color-infrared, normal color, and four-band satellite imagery were
excellent for distinguishing giant salvinia in a complex field habitat. |
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Keywords: | QuickBird satellite imagery Color-infrared imagery Normal color imagery Four-band composite imagery Unsupervised image analysis Accuracy assessment Salvinia molesta |
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