Title: Band shifting for ocean color multi-spectral reflectance data
Authors: MELIN FredericSCLEP GERT
Citation: OPTICS EXPRESS vol. 23 no. 3 p. 2262-2279
Publisher: OPTICAL SOC AMER
Publication Year: 2015
JRC N°: JRC91720
ISSN: 1094-4087
URI: http://www.opticsinfobase.org/oe/fulltext.cfm?uri=oe-23-3-2262&id=310866
http://publications.jrc.ec.europa.eu/repository/handle/JRC91720
DOI: 10.1364/OE.23.002262
Type: Articles in periodicals and books
Abstract: An approach to perform band shifting applied to multi-spectral ocean remote sensing reflectance RRS values in the visible spectral range is presented. The band-shifting scheme aims at expressing RRS at a wavelength not originally part of the spectrum from data at neighboring bands. The scheme relies on the determination of inherent optical properties (IOPs) by a bio-optical model, the calculation of the IOPs at the target wavelength using the spectral shapes assumed for each IOP, and the operation of the bio-optical model in forward mode to express RRS at the target wavelength. The performance of the band-shifting scheme applied to bands typical of satellite missions is assessed with hyper-spectral data sets obtained from radiative transfer simulations or from field measurements. The relative error epsilon on the conversion factors from 488 to 490 nm is mostly within 1%. Analogous results are obtained for conversions in the red spectral domain (665, 667 and 670 nm) only for synthetic data sets. The range of epsilon for conversions between green bands (547, 555 and 560 nm) is within 2% to 5% depending on the data set considered. Similar results are obtained when RRS values are computed at 510 nm from data at 488 and 531 nm. In the case of the assessment with simulated data, all band-shifting operations are characterized by an epsilon range within 2% for all conversions when the concentration of chlorophyll-a is lower than 1 mg m-3. Applied to satellite data, the band-shifting scheme noticeably improves the agreement between RRS data from different missions.
JRC Directorate:Sustainable Resources

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