• DocumentCode
    2212549
  • Title

    Detecting historic wetlands using radar data: A review

  • Author

    Fraser, S. ; Storie, S.

  • Author_Institution
    Dept. of Phys., Univ. of Winnipeg, Winnipeg, MB, Canada
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    772
  • Lastpage
    774
  • Abstract
    In Sothern Manitoba, flooding along the Red and Assiniboine River floodplains causes road closures, crop planting delays and destruction of homes. Agriculture is the dominant land-use in the region and as a result the area has been extensively drained. Studies conducted by Ducks Unlimited have determined that 70% of wetlands were lost between the 1986 and 2005. Wetlands are known for their ability to reduce flooding thus their reintroduction into Southern Manitoba demonstrates a good alternative to engineering solutions. Hanuta reconstructed and mapped land cover information of 100 townships within the Red River drainage basin dating back to 1870, before drainage for agriculture occurred. Hanuta´s work will provide a historical reference given that the ultimate goal of this project is to use polarimetric radar data to map historic wetlands in southern Manitoba. This review assesses commonly used hydrological indicators for the detection of historic wetlands and proposes an appropriate methodology for detecting the location of historic wetlands for the study site, using remotely sensed data.
  • Keywords
    floods; remote sensing by radar; rivers; vegetation; vegetation mapping; AD 1986 to 2005; Assiniboine river floodplain; Red river drainage basin; Red river floodplain; Southern Manitoba; crop planting delays; dominant land-use; ducks unlimited; historic wetland detection; home destruction; land cover information; polarimetric radar data; radar data; remotely sensed data; Agriculture; Floods; Radar imaging; Radar remote sensing; Remote sensing; Rivers; Historic Wetlands; Radar; Remote Sensing; Soil Moisture;
  • 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.2012.6351450
  • Filename
    6351450