• Title of article

    Remote detection of Trichodesmium blooms in optically complex coastal waters: Examples with MODIS full-spectral data

  • Author/Authors

    Hu، نويسنده , , Chuanmin and Cannizzaro، نويسنده , , Jennifer and Carder، نويسنده , , Kendall L. and Muller-Karger، نويسنده , , Frank E. and Hardy، نويسنده , , Robert، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    11
  • From page
    2048
  • To page
    2058
  • Abstract
    Remote detection of the Trichodesmium spp. cyanobacteria blooms on the west Florida shelf (WFS) has been problematic due to optical complexity caused by sediment resuspension, coastal runoff, and bottom interference. By combining MODIS data measured by the ocean bands and land bands, an approach was developed to identify surface mats of Trichodesmium on the WFS. The approach first identifies possible bloom patches in MODIS FAI (floating algae index) 250 m resolution imagery derived from the Rayleigh-corrected reflectance at 667, 859, and 1240 nm. Then, spectral analysis examines the unique reflectance characteristics of Trichodesmium at 469, 488, 531, 551, and 555 nm due to specific optical properties (absorption, backscattering, and fluorescence) of the unusual pigments in Trichodesmium. These spectral characteristics (i.e., high–low–high–low–high reflectance at 469-488–531–551–555 nm, respectively) differentiate Trichodesmium mats unambiguously from other features observed in the FAI imagery, such as Sargassum spp. Tests in other coastal locations show that the approach is robust and applicable to other optically complex waters. Results shown here can help study Trichodesmium bloom dynamics (e.g., initiation and bloom formation) and may also help design future sensors to better detect and quantify Trichodesmium, an important N2 fixer in the global oceans.
  • Keywords
    Trichodesmium , Sargassum , Cyanobacteria bloom , Hyperspectral , Remote sensing , MODIS , MERIS , FAI
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2010
  • Journal title
    Remote Sensing of Environment
  • Record number

    1630056