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Thuillier, G.

doi:10.1023/a:1024048429145

Cited by 593 publications

(184 citation statements)

References 19 publications

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“…After atmospheric correction, the primary measured variable is spectral remote sensing reflectance [R rs (λ)] or normalized waterleaving radiance [nLw(λ)]. [Note that these variables are related via R rs (λ) = nLw(λ)/F 0 (λ), where F 0 (λ) is the extraterrestrial solar irradiance centered at wavelength λ (Thuillier et al, 2003)]. In open ocean waters, the threshold of uncertainty acceptance for R rs (λ) is 5% (Bailey and Werdell, 2006).…”

Section: Understanding Satellite Data Inputs: Ocean Color Radiometrymentioning

confidence: 99%

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

et al. 2017

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Phytoplankton are composed of diverse taxonomical groups, which are manifested as distinct morphology, size, and pigment composition. These characteristics, modulated by their physiological state, impact their light absorption and scattering, allowing them to be detected with ocean color satellite radiometry. There is a growing volume of literature describing satellite algorithms to retrieve information on phytoplankton composition in the ocean. This synthesis provides a review of current methods and a simplified comparison of approaches. The aim is to provide an easily comprehensible resource for non-algorithm developers, who desire to use these products, thereby raising the level of awareness and use of these products and reducing the boundary of expert knowledge needed to make a pragmatic selection of output products with confidence. The satellite input and output products, their associated validation metrics, as well as assumptions, strengths, and limitations of the various algorithm types are described, providing a framework for algorithm organization to assist users and inspire new aspects of algorithm development capable of exploiting the higher spectral, spatial and temporal resolutions from the next generation of ocean color satellites.

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Section: Understanding Satellite Data Inputs: Ocean Color Radiometrymentioning

confidence: 99%

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

et al. 2017

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“…However, we found that the available solar reference spectra (Kurucz et al, 1984;Hall and Anderson, 1991;Woods et al, 1996;Chance and Spurr, 1997;Thuillier et al, 1997Thuillier et al, , 1998Thuillier et al, , 2003 did not meet our requirements on spectral resolution and radiometric accuracy. For this reason a new radiometrically and spectrally calibrated high resolution solar reference spectrum has been constructed using both existing literature solar reference spectra and solar measurement data obtained with the OMI.…”

Section: Introductionmentioning

confidence: 72%

“…For the visible spectral region (400 nm and higher) a balloon spectrum was measured for the validation of the SCIAMACHY instrument on the ESA ENVISAT satellite (Gurlit et al, 2005). A widely used low resolution solar reference spectrum based on observations is that of Thuillier et al (2003). This spectrum, with a wavelength coverage between 200 and 2400 nm is also a composite spectrum, based on measurements with the satellite instruments SOLSPEC (Thuillier et al, 1998) and SOSP (Thuillier et al, 2003).…”

Section: Overview Of Existing Solar Reference Spectramentioning

confidence: 99%

“…A widely used low resolution solar reference spectrum based on observations is that of Thuillier et al (2003). This spectrum, with a wavelength coverage between 200 and 2400 nm is also a composite spectrum, based on measurements with the satellite instruments SOLSPEC (Thuillier et al, 1998) and SOSP (Thuillier et al, 2003). Most of their effort has gone into ensuring excellent radiometric accuracy.…”

Section: Overview Of Existing Solar Reference Spectramentioning

confidence: 99%

“…From a detailed study by Thuillier et al (2003) it was determined that for the wavelength range discussed in this paper the Root -Mean -Square (RMS) differences between a large number of low resolution solar reference spectra is approximately 2%. Thus, the absolute radiometric accuracy of the high resolution spectrum derived in the present document is also approximately 2%.…”

Section: Uncertainty Contributionsmentioning

confidence: 99%

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The High-Resolution Solar Reference Spectrum between 250 and 550 nm and its Application to Measurements with the Ozone Monitoring Instrument

et al. 2008

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Suomi NPP VIIRS sensor data record verification, validation, and long‐term performance monitoring

et al. 2013

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The successful launch of the Suomi National Polar‐orbiting Partnership Satellite on 28 October 2011 with the key instrument Visible Infrared Imaging Radiometer Suite signifies a new era of moderate‐resolution imaging capabilities following the legacy of AVHRR and Moderate‐Resolution Imaging Spectroradiometer (MODIS). After a year and half of calibration and validation, the Visible Infrared Imaging Radiometer Suite (VIIRS) instrument is performing very well. By early 2013, the sensor data records have achieved provisional maturity status and have been used in the routine production of more than 20 environmental data records by users worldwide. Based on comparisons with MODIS, the VIIRS reflective solar band radiometric uncertainties are now comparable in reflectance to that of MODIS Collection 6 equivalent bands (within 2%) although radiance differences could be larger for several bands, while an agreement on the order of 0.1 K has also been achieved for the thermal emissive bands, except for bands with significant spectral differences or certain bands at extreme temperatures (below 200 K or above 343 K). The degradation in the VIIRS rotating telescope assembly mirrors is gradually leveling off after reaching ~30% and thus far has limited impact on instrument performance and products. Environmental data record users are generally satisfied with the VIIRS data quality which meets the product requirements. While the specific technical details are documented in other papers in this special issue and in Cao et al. (2013a), this paper focuses on the major findings of VIIRS calibration and validation since launch, radiometric performance validation, and uncertainties, as well as lessons learned.

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Untitled

Cited by 593 publications

References 19 publications

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

A Consumer's Guide to Satellite Remote Sensing of Multiple Phytoplankton Groups in the Global Ocean

The High-Resolution Solar Reference Spectrum between 250 and 550 nm and its Application to Measurements with the Ozone Monitoring Instrument

Suomi NPP VIIRS sensor data record verification, validation, and long‐term performance monitoring

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