Title of article :
Comparison between MERIS and regional high-level products in European seas
Author/Authors :
DʹAlimonte، نويسنده , , Davide and Zibordi، نويسنده , , Giuseppe and Kajiyama، نويسنده , , Tamito and Berthon، نويسنده , , Jean-François، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2014
Pages :
18
From page :
378
To page :
395
Abstract :
Standard ocean color data products from the Medium Resolution Imaging Spectrometer (MERIS) are compared with equivalent regional products in European seas exhibiting different bio-optical properties: the northern Adriatic Sea, the Baltic Sea and the Western Black Sea (ADRS, BLTS and BLKS, respectively). Investigated quantities are: 1) the algal-2 pigment index, alg2; 2) the composite absorption coefficient of yellow substance and non-pigmented particles at 442 nm, adg; and 3) the concentration of the total suspended matter, TSM. Regional data products are created using ocean color inversion schemes based on MultiLayer Perceptron (MLP) neural nets trained with field measurements from the Coastal Atmosphere and Sea Time Series (CoASTS) and Bio-Optical mapping of Marine Properties (BiOMaP) programs. MLP input is the remote sensing reflectance RRS at MERIS center-wavelengths specifically selected for different water types in view of minimizing the perturbing effects of inaccurate atmospheric correction on the retrieval of regional data products. A new method is also proposed to define the applicability of regional MLPs to input RRS. Results indicate that MERIS alg2 values tend to overestimate the equivalent quantity computed with MLP regional algorithms. The agreement between MERIS and regional TSM data products is significantly better than that reported for alg2 and adg, especially for BLKS. Findings highlight the relevance of using regional inversion schemes to evaluate standard products over extended oceanographic regions as a complement to the analysis of match-ups between marine products measured in situ and derived from space-born data.
Keywords :
Regional algorithms , Ocean color remote sensing , Algorithm development
Journal title :
Remote Sensing of Environment
Serial Year :
2014
Journal title :
Remote Sensing of Environment
Record number :
1633927
Link To Document :
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