• Title of article

    Validation of MERIS ocean-color products in the Bohai Sea: A case study for turbid coastal waters

  • Author/Authors

    Cui، نويسنده , , Tingwei and Zhang، نويسنده , , Jie and Groom، نويسنده , , Steve and Sun، نويسنده , , Ling and Smyth، نويسنده , , Timothy and Sathyendranath، نويسنده , , Shubha، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    11
  • From page
    2326
  • To page
    2336
  • Abstract
    An extensive in situ data set in the Bohai Sea of China was collected to assess radiometric properties and concentrations of ocean constituents derived from Medium Resolution Imaging Spectrometer (MERIS). The data collected include spectral normalized water-leaving radiance Lwn(λ) and concentrations of suspended particulate matter (SPM) and chlorophyll a (Chl-a). A strict spatio-temporal match-up method was adopted in view of the complexity and variability of the turbid coastal area, resulting in 13, 48 and 18 match-ups for MERIS Lwn(λ), SPM and Chl-a estimates, respectively. For MERIS Lwn(λ), the match-ups showed mean absolute percentage differences (APD) of 17%–20% in the 412, 443, 620 and 665 nm bands, whereas Lwn(λ) at bands from 490 and 560 nm had better APD of 15–16%. The band ratio of Lwn(490) to Lwn(560) of the satellite data was in good agreement with in situ observations with an APD of 4%. MERIS SPM and Chl-a products overestimated the in situ values, with the APD of approximately 50% and 60%, respectively. When match-up criteria were relaxed, the assessment results degraded systematically. Hence, in turbid coastal areas where temporal variability and spatial heterogeneity of bio-optical properties may be pronounced as the result of terrestrial influences and local dynamics, the strict spatio-temporal match-up is recommended.
  • Keywords
    Ocean-color , Validation , MERIS , Bohai Sea , Remote-sensing
  • Journal title
    Remote Sensing of Environment
  • Serial Year
    2010
  • Journal title
    Remote Sensing of Environment
  • Record number

    1630122