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Mapping giant salvinia with satellite imagery and image analysis
Authors:J H Everitt  R S Fletcher  H S Elder  C Yang
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
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.
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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