• DocumentCode
    483933
  • Title

    Remotely Monitoring Great Lakes Coastal Wetlands with Multi-Sensor, Multi-Temporal SAR and Multi-Spectral Data

  • Author

    Bourgeau-Chavez, Laura L. ; Riordan, Kevin ; Miller, Nicole ; Nowels, Mitch ; Powell, Richard

  • Author_Institution
    Michigan Tech Res. Inst., Michigan Technol. Univ., Ann Arbor, MI
  • Volume
    1
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    Wetland monitoring in the Great Lakes coastal areas is needed for assessment of overall health of the Great Lakes basin. Methods were developed that were robust yet cost-efficient and implementable. The methods rely on satellite imagery for mapping wetland type, adjacent land use, wetland extent and inundation extent. The best method for mapping wetland type and adjacent land use was a fusion of data from multiple SAR sensors (JERS, ERS, Radarsat-I) and Landsat. This data fusion allows for the unique SAR and optical/IR information to be integrated for improved mapping capabilities.
  • Keywords
    hydrological techniques; lakes; remote sensing by radar; sensor fusion; synthetic aperture radar; Great Lakes coastal wetlands; JERS; Landsat; Radarsat-I; adjacent land use; data fusion; inundation extent; multisensor; multispectral data; multitemporal SAR; remote sensing; satellite imagery; wetland extent; wetland monitoring; wetland type mapping; Biosensors; Ecosystems; Floods; Lakes; Remote monitoring; Remote sensing; Satellites; Sea measurements; Sensor phenomena and characterization; Space technology; Landsat; SAR; sensor fusion; wetlands;
  • 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.2008.4778886
  • Filename
    4778886