Environmental Monitoring and Assessment

, Volume 139, Issue 1, pp 35–40

Mapping giant salvinia with satellite imagery and image analysis

  • J. H. Everitt
  • R. S. Fletcher
  • H. S. Elder
  • C. Yang
Article

DOI: 10.1007/s10661-007-9807-y

Cite this article as:
Everitt, J.H., Fletcher, R.S., Elder, H.S. et al. Environ Monit Assess (2008) 139: 35. doi:10.1007/s10661-007-9807-y

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 imageryColor-infrared imageryNormal color imageryFour-band composite imageryUnsupervised image analysisAccuracy assessmentSalvinia molesta

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  • J. H. Everitt
    • 1
  • R. S. Fletcher
    • 1
  • H. S. Elder
    • 2
  • C. Yang
    • 1
  1. 1.USDA-ARSWeslacoUSA
  2. 2.Texas Parks and Wildlife DepartmentJasperUSA