4.3 Article

Reconstruction of MODIS total suspended matter time series maps by DINEOF and validation with autonomous platform data

Journal

OCEAN DYNAMICS
Volume 61, Issue 8, Pages 1205-1214

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10236-011-0425-4

Keywords

Total suspended matter (TSM); MODIS; Data Interpolating Emprirical Orthogonal Functions (DINEOF); Cefas; Optical backscatter; TSM algorithm; TSM time series

Categories

Funding

  1. Belgian Science Policy Office [SR/00/104]
  2. UK Department for Environment, Food and Rural Affairs (Defra) [SLA25]

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In situ measurements of total suspended matter (TSM) over the period 2003-2006, collected with two autonomous platforms from the Centre for Environment, Fisheries and Aquatic Sciences (Cefas) measuring the optical backscatter (OBS) in the southern North Sea, are used to assess the accuracy of TSM time series extracted from satellite data. Since there are gaps in the remote sensing (RS) data, due mainly to cloud cover, the Data Interpolating Empirical Orthogonal Functions (DINEOF) is used to fill in the TSM time series and build a continuous daily recoloured dataset. The RS datasets consist of TSM maps derived from MODIS imagery using the bio-optical model of Nechad et al. (Rem Sens Environ 114: 854-866, 2010). In this study, the DINEOF time series are compared to the in situ OBS measured in moderately to very turbid waters respectively in West Gabbard and Warp Anchorage, in the southern North Sea. The discrepancies between instantaneous RS, DINEOF-filled RS data and Cefas data are analysed in terms of TSM algorithm uncertainties, space-time variability and DINEOF reconstruction uncertainty.

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