• DocumentCode
    483945
  • Title

    Mapping Riparian and Wetland Weeds with High Resolution Satellite Imagery

  • Author

    Sriharan, Shobha ; Everitt, James H. ; Yang, Chenghai ; Fletcher, Reginald S.

  • Author_Institution
    Virginia State Univ., Petersburg, VA
  • Volume
    1
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    QuickBird multi-spectral satellite imagery was evaluated for detecting weeds in waterways and wetlands in Texas. Plant species studied included giant reed (Arundo donax L.), waterhyacinth [Eichhornia crassipes (Mart.) Solms], and giant salvinia (Salvinia molesta Mitchell). Accuracy assessment results performed on the unsupervised classified maps for each species were: giant reed, 94.4% producer´s accuracy and 100% user´s accuracy; waterhyacinth, 100% producer´s accuracy and 80% user´s accuracy; and giant salvinia, 93.9% producer´s accuracy and 92% user´s accuracy. These results indicate that QuickBird imagery can be used successfully to map infestations of these three weeds.
  • Keywords
    image classification; image processing; vegetation mapping; Arundo donax L; Eichhornia crassipes; QuickBird imagery; Salyinia molesta Mitchell; Texas; USA; Water hyacinth; giant reed; giant salvinia; high resolution satellite imagery; image classification; image processing; multi-spectral satellite imagery; plant species; riparian weed mapping; weed detection; wetland weed mapping; Brushes; Government; Image color analysis; Image resolution; Protection; Remote sensing; Satellites; Soil; Spatial resolution; US Department of Agriculture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4778899
  • Filename
    4778899