Effect of Spectral Shape of Calibration Source on Retrieved Ocean Radiance and Reflectance

Samudraiah, Drm; Senthilkumar, Amutha; Murthy, Yvn Krishan; Kumar, Ujjwal

doi:10.1109/tengarss48957.2019.8976053

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…where W ¼ ðw 1 ; w 2 : : : :w i : : : w n Þ and S ¼ ðs 1 ; s 2 : : : :s i : : : s n Þ. SSSF 21 is defined as the convolved output of a channel for normalized input radiance spectrum at a given wavelength and SRF as shown in the following equation:…”

Section: Methodsmentioning

confidence: 99%

“…SSSF 21 is defined as the convolved output of a channel for normalized input radiance spectrum at a given wavelength and SRF as shown in the following equation: SSSFi=(1wi)*3ex‖trueWfalse→3ex‖*3ex‖trueSfalse→3ex‖*COSϕ*Δλ.…”

Section: Methodsmentioning

confidence: 99%

“…Hence, a spectrum with coarsely similar shape is considered as a starting point to estimate SSSFi of TOARAD. As both wT and wP of a given pixel contain the characteristics 22 of solar spectrum, Raleigh scattering and Mie scattering, the major contributions for spectral shapes, PathRAD could be the one such similar spectrum.…”

Section: Methodsmentioning

confidence: 99%

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Spectrum recovery from multispectral ocean color data using system spectral shape factor

Samudraiah

Chauhan

Kumar³

et al. 2023

J. Appl. Rem. Sens.

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.Data from ocean color monitoring sensors at different spectral channels are available for remote sensing of radiation as seen in the given spectral windows, which is used for deriving information on various atmospheric parameters. However, recent studies have demonstrated the potential of hyperspectral (HS) data over multispectral ocean color (MSOC) data in accurately estimating phytoplankton concentration and in monitoring the coastal dynamics. We propose system spectral shape factor (SSSF)-based approach to recover the embedded HS top-of-atmosphere (TOA) radiance (TOARAD) from the MSOC data. SSSF is defined as convolution of normalized input spectrum and sensor spectral response function (SRF). The advantage of SSSF is that it decouples magnitude and spectral shape part of sensor output and enables recovery of TOARAD. To test this method, the airborne visible/infrared imaging spectrometer-next generation data are used to simulate inputs to MSOC. SRF of ocean color monitor simulated MSOC. SSSF of TOARAD is estimated using SSSF of model-based path radiance spectrum of the pixel, which is similar in spectral shape. Methodology, developed using data from five stations, is validated with data from other five stations. The procedure is successfully repeated using SRFs of sea-viewing wide-field-of-view sensor. The recovered HS data are found to be consistent with the original spectra with very small deviations in spectral angle map (<0.012 rad) spectral information divergence (<5.8 × 10 − 5), mean percentage relative error (MPRE) of TOARAD (<0.7 % ), and MPRE of TOA water leaving radiance (<5.8 % ). This approach possibly opens up research for application of HS analysis on MSOC recovered spectra and for optimization of sensor configurations.

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Section: Methodsmentioning

confidence: 99%