• DocumentCode
    1478017
  • Title

    Removal of Thin Cirrus Scattering Effects for Remote Sensing of Ocean Color From Space

  • Author

    Gao, Bo-Cai ; Li, Rong-Rong

  • Author_Institution
    Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
  • Volume
    9
  • Issue
    5
  • fYear
    2012
  • Firstpage
    972
  • Lastpage
    976
  • Abstract
    Thin cirrus clouds frequently contaminate satellite images. These clouds are traditionally treated as aerosols in atmospheric correction processes for satellite remote sensing of ocean color. Through analysis of spectral imaging data covering a solar spectral region between approximately 0.4 and 0.9 μm and acquired with the Hyperspectral Imager for the Coastal Ocean (HICO) instrument currently on board the International Space Station, we have developed an empirical but very effective technique to remove thin cirrus effects from HICO data acquired over fairly clear ocean waters where the water leaving reflectances above 0.8 μm are close to zero. The development of the technique is based on this property and on the fact that cirrus reflectances in the 0.4-1.0-μm region are spectrally constant. The empirical technique is described, and sample results are presented. The same technique is applicable to thin cirrus corrections over clear water surfaces for other hyperspectral or multichannel imaging instruments covering similar spectral range.
  • Keywords
    aerosols; atmospheric optics; clouds; geophysical image processing; light scattering; oceanographic techniques; remote sensing; underwater optics; HICO instrument; Hyperspectral Imager for the Coastal Ocean; International Space Station; aerosols; atmospheric correction processes; hyperspectral imaging instruments; multichannel imaging instruments; satellite image contamination; solar spectral region; space based ocean color remote sensing; spectral imaging data; thin cirrus scattering effect removal; water leaving reflectance; Clouds; Green products; Hyperspectral imaging; Scattering; Sea measurements; Sea surface; Cirrus cloud correction; hyperspectral imager; ocean color; remote sensing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2187876
  • Filename
    6174441