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- Title
Mapping giant salvinia with satellite imagery and image analysis.
- Authors
Everitt, J. H.; Fletcher, R. S.; Elder, H. S.; Yang, C.
- 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.
- Subjects
EAST Texas; SALVINIA; REMOTE-sensing images; IMAGE analysis; IMAGING systems; INFRARED technology; COLOR; CHEMISTRY; OPTICS
- Publication
Environmental Monitoring & Assessment, 2008, Vol 139, Issue 1-3, p35
- ISSN
0167-6369
- Publication type
Article
- DOI
10.1007/s10661-007-9807-y