Cloud Detection Method Based on Spectral Area Ratios in MODIS Data

Guo, Feng; Shen, Xiaohua; Zou, Lejun; Ren, Yupeng; Qin, Yi; Wang, Xin; Wu, Jiwei

doi:10.1080/07038992.2015.1112729

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The importance of clouds and their significant roles in sustaining the temperature balance on the Earth cannot be overestimated [5] [6] [7] [8]. However, a stable positive rate 2.05 ± 0.03 ppm/year of concentration of carbon dioxide greenhouse gas over the last decades increases the atmospheric temperature causing more intense water evaporation and formation of clouds [1].…”

Section: Introductionmentioning

confidence: 99%

Efficient Application of the Radiance Enhancement Method for Detection of the Forest Fires Due to Combustion-Originated Reflectance

Siddiqui¹,

Jagpal²,

Abrarov³

et al. 2021

JEP

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The existing methods for detection of 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 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. This 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.

show abstract

Section: Introductionmentioning

confidence: 99%

Efficient Application of the Radiance Enhancement Method for Detection of the Forest Fires Due to Combustion-Originated Reflectance

Siddiqui¹,

Jagpal²,

Abrarov³

et al. 2021

JEP

View full text Add to dashboard Cite

show abstract

“…The importance of clouds and their significant roles in sustaining the temperature balance on the Earth cannot be overestimated [5][6][7][8]. However, a stable positive rate 2.05 ±0.03 ppm/year of concentration of carbon dioxide greenhouse gas over the last decades increases the atmospheric temperature causing more intense water evaporation and formation of clouds [1].…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

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

et al. 2020

View full text Add to dashboard Cite

Cloud Detection Method Based on Spectral Area Ratios in MODIS Data

Cited by 3 publications

References 23 publications

Efficient Application of the Radiance Enhancement Method for Detection of the Forest Fires Due to Combustion-Originated Reflectance

Efficient Application of the Radiance Enhancement Method for Detection of the Forest Fires Due to Combustion-Originated Reflectance

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

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

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