• DocumentCode
    2129479
  • Title

    Hyperspectral analysis of multispectral ETM+ data: SMA using spectral field measurements in mapping of emergent macrophytes

  • Author

    Idawo, Cuthbert ; Laneve, Giovanni

  • Author_Institution
    Centro di Ricerca Progetto San Macro, Univ. of Rome `La Sapienza´´
  • Volume
    1
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Lastpage
    249
  • Abstract
    Obtaining quantitative information about vegetation with remote sensing continues to prove difficult, with most healthy plants showing absorption bands that are similar. Quantifying such subtle differences in plants in a predictable way still poses a challenge, with abundances in species, the limited nature of spectrometric measurements on plants, and in our case the relatively small quantities of macrophytes under investigation, coupled with the location of the study site - in an aquatic environment. We used multispectral Landsat Enhanced Thematic Mapper (ETM+) imagery in investigating the possibility for mapping and quantification of macrophytes in a water hyacinth infested area. An ETM+ image is being examined using hyperspectral-processing techniques. With accurate information on macrophytic weeds, natural resource managers are empowered in making informed decisions about weed management
  • Keywords
    geophysical signal processing; lakes; remote sensing; vegetation mapping; Kenya; Lake Victoria; SMA; Winam Gulf; aquatic environment; hyperspectral-processing technique; macrophyte quantification/mapping investigation; macrophytic weed; multispectral ETM+ imagery data; multispectral Landsat Enhanced Thematic Mapper; natural resource management; plants spectrometric measurement; remote sensing; spectral mixture analysis; vegetation; water hyacinth infested area; Hyperspectral imaging; Hyperspectral sensors; Information analysis; Lakes; Libraries; Remote sensing; Remuneration; Spectral analysis; Vegetation mapping; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1369007
  • Filename
    1369007