Rayleigh radiance computations for satellite remote sensing: accounting for the effect of sensor spectral response function

Wang, Menghua

doi:10.1364/oe.24.012414

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Rayleigh radiance computations for satellite remote sensing: accounting for the effect of sensor spectral response function

2016
By Wang, Menghua
Source: Opt. Express 24(11), 12414-12429

[PDF-2.80 MB]

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Journal Title:

Optics Express
Personal Author:

Wang, Menghua
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

To understand and assess the effect of the sensor spectral response function (SRF) on the accuracy of the top of the atmosphere (TOA) Rayleigh-scattering radiance computation, new TOA Rayleigh radiance lookup tables (LUTs) over global oceans and inland waters have been generated. The new Rayleigh LUTs include spectral coverage of 335–2555 nm, all possible solar-sensor geometries, and surface wind speeds of 0–30 m/s. Using the new Rayleigh LUTs, the sensor SRF effect on the accuracy of the TOA Rayleigh radiance computation has been evaluated for spectral bands of the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership (SNPP) satellite and the Joint Polar Satellite System (JPSS)-1, showing some important uncertainties for VIIRS-SNPP particularly for large solar- and/or sensor-zenith angles as well as for large Rayleigh optical thicknesses (i.e., short wavelengths) and bands with broad spectral bandwidths.
Keywords:

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Mathematical Models Meteorological Satellites Rayleigh Scattering Remote Sensing Spectral Sensitivity
Source:

Opt. Express 24(11), 12414-12429
DOI:

https://doi.org/10.1364/oe.24.012414
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Journal Article
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urn:sha256:3e85df6d87faf55af99e7ac90f8bcb3b6feb4f01c86659d69b208024e83b1706
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https://repository.library.noaa.gov/view/noaa/41064/noaa_41064_DS1.pdf
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Rayleigh radiance computations for satellite remote sensing: accounting for the effect of sensor spectral response function

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