Radiance enhancement and shortwave upwelling radiative flux methods for efficient detection of cloud scenes

Siddiqui, Rehan; Jagpal, Rajinder K.; Abrarov, S. M.; Quine, Brendan M.

doi:10.1504/ijspacese.2020.109745

Cited by 6 publications

(11 citation statements)

References 38 publications

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“…respectively. The real part of the complex error function K(x, y) also known as the Voigt function, occurs in great diversity in astrophysical spectroscopy, space science, neutron physics, plasma physics and statistical communication theory, as well as in some areas in mathematical physics and engineering associated with multi-dimensional analysis of spectral harmonics [4][5][6][7][8][9][10][11][12][13][14][15][16]. For example, the Voigt function is a fundamental component of the line-by-line (LBL) radiative transfer modeling for the analysis of planetary atmospheres [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

On the Highly Accurate Evaluation of the Voigt/Complex Error Function with Small Imaginary Argument

et al. 2022

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A rapidly convergent series, based on Taylor expansion of the imaginary part of the complex error function, is presented for highly accurate approximation of the Voigt/complex error function with small imaginary argument y ≤ 0.1. Error analysis and run-time tests in double-precision arithmetic reveals that in the real and imaginary parts, the proposed algorithm provides an average accuracy exceeding 10−15 and 10−16, respectively, and the calculation speed is as fast as that reported in recent publications. An optimized MATLAB code providing rapid computation with high accuracy is presented.

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Section: Introductionmentioning

confidence: 99%

On the Highly Accurate Evaluation of the Voigt/Complex Error Function with Small Imaginary Argument

et al. 2022

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Section: Introductionmentioning

confidence: 99%

“…Alongside with conventional methods based on MODIS and Google cloud database that provides precise and efficient probabilistic approach in determination of the multi-layered cloud masking [15,16], the infra-red (IR) remote sensing is another approach for detection of clouds [8,[17][18][19]. In particular, in our recent publications we have described a new method for detection of cloud scenes based on the radiance enhancement (RE) method [18,19]. Despite some drawbacks of the RE method such as lower resolution and difficulties to distinguish multi-layered clouds, its application, nevertheless, may be advantageous especially when remote sensing is provided from the space-orbiting IR micro-spectrometer like Argus 1000 [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, in our recent publications we have described a new method for detection of cloud scenes based on the radiance enhancement (RE) method [18,19]. Despite some drawbacks of the RE method such as lower resolution and difficulties to distinguish multi-layered clouds, its application, nevertheless, may be advantageous especially when remote sensing is provided from the space-orbiting IR micro-spectrometer like Argus 1000 [18,19]. The ultra-light (about 0.25 kg only), small-size and inexpensive Argus 1000 instrument was launched into space in 2008 from India as a payload of the CanX-2 nanosatellite [20,21].…”

Section: Introductionmentioning

confidence: 99%

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Efficient application of the Radiance Enhancement method for detection of the forest fires due to combustion-originated reflectance

Siddiqui¹,

Jagpal²,

Abrarov³

et al. 2021

Preprint

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The existing methods detect the cloud scenes are applied at relatively small spectral range within shortwave upwelling radiative wavelength flux. We have reported a new method for detection of the cloud scenes based on the Radiance Enhancement (RE). This method can be used to cover a significantly wider spectral range from 1100 nm to 1700 nm (Siddiqui et al., 2015) by using datasets from the space-orbiting micro-spectrometer Argus 1000. Due to high sunlight reflection of the smoke originated from the forest or field fires the proposed RE method can also be implemented for detection of combustion aerosols. The approach can be a promising technique for efficient detection and continuous monitor of the seasonal forest and field fires. To the best of our knowledge this is the first report showing how a cloud method can be generalized for efficient detection of the forest fires due to combustion-originated reflectance.

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“…We have shown recently that the datasets of the upwelling radiance collected from space remote sensor can also be used for efficient detection of cloud scenes by using the Radiance Enhancement method [11][12][13][14]. Specifically, the RE method utilizes the line-by-line radiative transfer model GEN-SPECT [15] in order to match the synthetic radiance with observed radiance by incrementing or decrementing several variables like concentration of gases, zenith angle, deviation of the nadir angle, etc.…”

Section: Introductionmentioning

confidence: 99%

Effect of the instrument slit function on upwelling radiance from a wavelength dependent surface reflectance

Jagpal¹,

Siddiqui²,

Abrarov³

et al. 2021

Preprint

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The Radiance Enhancement (RE) method was introduced for efficient detection of clouds from the space. Recently we have also reported that due to high reflectance of combustion-originated smokes this approach can also be generalized for detection of the forest fires by retrieving and analyzing datasets collected from a space orbiting micro-spectrometer operating in the near infrared spectral range. In our previous publication we have performed a comparison of observed and synthetic radiance spectra by developing a method for computation of surface reflectance consisting of different canopies by weighted sum based on their areal coverage. However, this approach should be justified by a method based on corresponding proportions of the upwelling radiance. The results of computations we performed in this study reveals a good match between areal coverage of canopies and the corresponding proportions of the upwelling radiance due to effect of the instrument slit function.

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Radiance enhancement and shortwave upwelling radiative flux methods for efficient detection of cloud scenes

Cited by 6 publications

References 38 publications

On the Highly Accurate Evaluation of the Voigt/Complex Error Function with Small Imaginary Argument

On the Highly Accurate Evaluation of the Voigt/Complex Error Function with Small Imaginary Argument

Efficient application of the Radiance Enhancement method for detection of the forest fires due to combustion-originated reflectance

Effect of the instrument slit function on upwelling radiance from a wavelength dependent surface reflectance

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