• DocumentCode
    1889895
  • Title

    Estimating water optical properties, water depth and bottom albedo using high resolution satellite imagery for coastal habitat mapping

  • Author

    Liew, Soo Chin ; Chen, Ping ; Saengtuksin, Boredin ; Chang, Chew Wai

  • Author_Institution
    Centre for Remote Imaging, Sensing & Process., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    2338
  • Lastpage
    2340
  • Abstract
    The recently launched Worldview-2 satellite has 8 high resolution (2-m) spectral bands in the visible to near-infrared region. The additional spectral bands provide an opportunity to test the spectral matching algorithm for retrieving the water depth, bottom albedo and intrinsic optical properties of coastal sea water. Our test area is an intertidal zone and reefs near an off-shore island of Singapore consisting of seagrass, corals and mangrove habitats. Examples of applying the spectral matching method to submerged coral reefs are shown. The retrieved water depth and bottom albedo are utilized together with the reflectance spectra of various habitat classes for better classification and mapping of the coastal habitats.
  • Keywords
    albedo; bathymetry; environmental monitoring (geophysics); oceanographic regions; oceanographic techniques; remote sensing; seawater; underwater optics; Singapore; Worldview-2 satellite; bottom albedo estimation; coastal habitat classification; coastal habitat mapping; coastal sea water; coral habitat; high resolution satellite imagery; intertidal zone; mangrove habitat; near infrared spectral band; off shore island; reefs; seagrass habitat; spectral matching algorithm; visible spectral band; water depth estimation; water optical property estimation; Absorption; Optical reflection; Optical sensors; Reflectivity; Satellites; Sea measurements; Water; Coastal habitat mapping; WorldView-2 satellite; bathymetry; high resolution; spectral matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049678
  • Filename
    6049678