• DocumentCode
    576041
  • Title

    The CoastColour dataset

  • Author

    Brockmann, Carsten ; Doerffer, Roland ; Sathyendranath, Shubha ; Ruddick, Kevin ; Brotas, Vanda ; Santer, Richard ; Pinnock, Simon

  • Author_Institution
    Brockmann Consult, Geesthacht, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    2036
  • Lastpage
    2039
  • Abstract
    The objective of the ESA DUE CoastColour project is to fully exploit the potential of the MERIS instrument for remote sensing of the coastal zone. The product requirements have been derived from a user consultation process. Users have provided in-situ data from many locations, which were used for algorithm development and validation. The MERIS data archive from 2005 onwards has been processed with the finally selected algorithms for 27 globally distributed coastal sites. The CoastColour dataset comprises an improved Level 1b product (L1P), a product that contains directional and normalised water leaving reflectances (L2R) and a product for water properties (L2W). The total data volume is 100TB. All data are online and available from the CoastColour Website. A near real time service was operated from October 2011 until end of the ENVISAT mission. Plans exist to continue the service with Sentinel data.
  • Keywords
    Internet; oceanographic techniques; remote sensing; CoastColour Website; CoastColour dataset; ENVISAT mission; ESA DUE CoastColour project; MERIS data; MERIS instrument; coastal zone; globally distributed coastal sites; normalised water leaving reflectances; ocean colour; remote sensing; water properties; Adaptive optics; Algorithm design and analysis; Atmospheric modeling; Reflectivity; Sea measurements; Uncertainty; Water; MERIS; chlorophyll concentration; coastal zone; ocean colour; total suspended matter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6350976
  • Filename
    6350976