• DocumentCode
    2212637
  • Title

    Using L-band SAR images to map coastal wetlands

  • Author

    Storie, Joni ; Lawson, Andrew ; Storie, Christopher

  • Author_Institution
    Dept. of Geogr., Univ. of Winnipeg, Winnipeg, MB, Canada
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    757
  • Lastpage
    759
  • Abstract
    The National Wetland Inventory (NWI) in the USA is required, by congress mandate, to map wetlands every ten years. The last time the wetlands were map was in the mid-1980s using labour intensive, aerial photograph analysis techniques. The goal of this project is to map wetlands, based on the US-FWS NWI coastal wetland classes, in North Carolina using ALOS 10 m polarimetric radar. Wishart unsupervised classification using Cloude decomposition images resulted in 78-94% classification accuracy of four of the ten wetland classes. Images from Freeman-Durden and Touzi decompositions will be incorporated into the classification to achieve good accuracies for the remaining six wetland classes.
  • Keywords
    geophysical image processing; hydrological techniques; image classification; remote sensing by radar; synthetic aperture radar; ALOS polarimetric radar; Cloude decomposition images; Freeman-Durden decomposition images; L-band SAR images; National Wetland Inventory; North Carolina; Touzi decomposition images; US-FWS NWI coastal wetland classes; USA; Wishart unsupervised classification; aerial photograph analysis techniques; coastal wetland map; Accuracy; L-band; Radar imaging; Scattering; Sea measurements; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351454
  • Filename
    6351454