• DocumentCode
    2672888
  • Title

    Wetlands map of Alaska using L-Band radar satellite imagery

  • Author

    Whitcomb, Jane ; Moghaddam, Mahta ; McDonald, Kyle ; Podest, Erika ; Kellndorfer, Josef

  • Author_Institution
    Univ. of Michigan, Ann Arbor
  • fYear
    2007
  • fDate
    23-28 July 2007
  • Firstpage
    2487
  • Lastpage
    2490
  • Abstract
    We have used two seasons of L-band SAR imagery to produce a thematic map of wetlands throughout Alaska. The classification was developed using the Random Forests statistical decision tree algorithm. Input data included mosaics of summer and winter JERS-1 SAR imagery with associated image collection dates, summer and winter SAR backscatter texture, elevation, slope, proximity to water, and geographic latitude. The accuracy of the resulting thematic map was quantified using extensive ground reference data. The overall aggregate accuracy calculated based on all classified pixels was 89.5%, with individual per-tile aggregate accuracies ranging from 80% to 97%. As the first high-resolution large-scale synoptic wetlands map of Alaska, this product provides the basis for improved characterization of land- atmosphere CH4 and CO2 fluxes and climate change impacts associated with thawing soils and changes in extent and drying of wetland ecosystems.
  • Keywords
    atmospheric boundary layer; atmospheric composition; image classification; remote sensing by radar; spaceborne radar; synthetic aperture radar; Alaska; JERS-1 SAR imagery; L-band radar satellite imagery; SAR backscatter texture; climate change impacts; elevation; geographic latitude; image classification; land- atmosphere interaction; random forests statistical decision tree algorithm; slope; thematic map; water proximity; wetland ecosystems; wetlands map; Accuracy; Aggregates; Backscatter; Classification tree analysis; Decision trees; L-band; Large-scale systems; Radar imaging; Satellites; Spaceborne radar; classification; synthetic aperture radar; wetlands;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-1211-2
  • Electronic_ISBN
    978-1-4244-1212-9
  • Type

    conf

  • DOI
    10.1109/IGARSS.2007.4423348
  • Filename
    4423348