Retrieval of atmospheric and oceanic properties from MERIS measurements: A new Case-2 water processor for BEAM

  • Authors:

  • Th. Schroeder;M. Schaale;J. Fischer

  • Affiliations:

  • Free University Berlin, Institute for Space Sciences, Berlin, Germany,CSIRO Land & Water, Environmental Remote Sensing Group, Canberra, Australia;Free University Berlin, Institute for Space Sciences, Berlin, Germany;Free University Berlin, Institute for Space Sciences, Berlin, Germany

  • Venue:
  • International Journal of Remote Sensing
  • Year:
  • 2007

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Abstract

A freely available data processor for the B asic E RS & ENVISAT ( A )ATSR and M ERIS Toolbox (BEAM) was developed to retrieve atmospheric and oceanic properties above and of Case-2 waters from Medium Resolution Imaging Spectrometer (MERIS) Level1b data. The processor was especially designed for European coastal waters and uses MERIS Level1b Top-Of-Atmosphere (TOA) radiances to retrieve atmospherically corrected remote sensing reflectances at the Bottom-Of-Atmosphere (BOA), spectral aerosol optical thicknesses (AOT) and the concentration of three water constituents, namely chlorophyll-a (CHL), total suspended matter (TSM) and the absorption of yellow substance at 443 nm (YEL). The retrieval is based on four separate artificial neural networks which were trained on the basis of the results of extensive radiative transfer (RT) simulations by taking various atmospheric and oceanic conditions into account. The accuracy of the retrievals was acquired by comparisons with concurrent in situ ground measurements and was published in full detail elsewhere. For the remote sensing reflectance product a mean absolute percentage error (MAPE) of 18% was derived within the spectral range 412.5-708.75 nm while the accuracy of the AOT at 550 nm in terms of MAPE was calculated to be 40%. The accuracies for CHL, TSM and YEL were derived from match-up analysis with MAPEs of 50%, 60% and 71%, respectively.