Literature DB >> 25836095

Band shifting for ocean color multi-spectral reflectance data.

Frédéric Mélin, Gert Sclep.   

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 ε 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 ε 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 ε 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.

Entities:  

Year:  2015        PMID: 25836095     DOI: 10.1364/OE.23.002262

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Sensitivity of inherent optical properties from ocean reflectance inversion models to satellite instrument wavelength suites.

Authors:  P Jeremy Werdell; Lachlan I W McKinna
Journal:  Front Earth Sci (Lausanne)       Date:  2019-03-29

2.  Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll-a data.

Authors:  F Mélin; V Vantrepotte; A Chuprin; M Grant; T Jackson; S Sathyendranath
Journal:  Remote Sens Environ       Date:  2017-12-15       Impact factor: 10.164

3.  An Ocean-Colour Time Series for Use in Climate Studies: The Experience of the Ocean-Colour Climate Change Initiative (OC-CCI).

Authors:  Shubha Sathyendranath; Robert J W Brewin; Carsten Brockmann; Vanda Brotas; Ben Calton; Andrei Chuprin; Paolo Cipollini; André B Couto; James Dingle; Roland Doerffer; Craig Donlon; Mark Dowell; Alex Farman; Mike Grant; Steve Groom; Andrew Horseman; Thomas Jackson; Hajo Krasemann; Samantha Lavender; Victor Martinez-Vicente; Constant Mazeran; Frédéric Mélin; Timothy S Moore; Dagmar Müller; Peter Regner; Shovonlal Roy; Chris J Steele; François Steinmetz; John Swinton; Malcolm Taberner; Adam Thompson; André Valente; Marco Zühlke; Vittorio E Brando; Hui Feng; Gene Feldman; Bryan A Franz; Robert Frouin; Richard W Gould; Stanford B Hooker; Mati Kahru; Susanne Kratzer; B Greg Mitchell; Frank E Muller-Karger; Heidi M Sosik; Kenneth J Voss; Jeremy Werdell; Trevor Platt
Journal:  Sensors (Basel)       Date:  2019-10-03       Impact factor: 3.576

  3 in total

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