Research on the accuracy of spectral calibration using atmospheric absorption features with different water vapor contents

2012 ◽  
Author(s):  
Lin Li ◽  
Yong Hu ◽  
Cailan Gong ◽  
Yueming Wang ◽  
Xuezhuan Ding ◽  
...  
Keyword(s):  
Water Vapor ◽  
Atmospheric Absorption ◽  
Spectral Calibration ◽  
Absorption Features

Earth's balanced climates in view of their energy budgets

2021 ◽  
Author(s):  
Thomas Anderl
Keyword(s):  
Water Vapor ◽  
Surface Temperature ◽  
Energy Budget ◽  
Energy Budgets ◽  
Temperature Dependency ◽  
Energy Balancing ◽  
Atmospheric Water ◽  
Atmospheric Absorption ◽  
Rainfall Events ◽  
Characteristic Concentration

Abstract Earth’s well-known energy budget scheme is subjected to variations representing changes of insolation and atmospheric absorption. The Charney Report variability cases of doubled atmospheric CO2 concentration and insolation increase by 2 % are found reproducible. The planetary emissivity is revealed linear to surface temperature, conformant with measurements. Atmospheric water vapor with its characteristic concentration-temperature dependency appears as a major component in Earth’s energy balancing mechanisms. From this, shift towards fewer and stronger rainfall events is prescribed for rising temperatures.

Wavelength calibration of imaging spectrometer using atmospheric absorption features

2012 ◽  
Author(s):  
Jiankang Zhou ◽  
Yuheng Chen ◽  
Xinhua Chen ◽  
Yiqun Ji ◽  
Weimin Shen
Keyword(s):  
Atmospheric Absorption ◽  
Imaging Spectrometer ◽  
Wavelength Calibration ◽  
Absorption Features

scholarly journals Preflight Spectral Calibration of Airborne Shortwave Infrared Hyperspectral Imager with Water Vapor Absorption Characteristics

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2259 ◽  
Author(s):  
Honglin Liu ◽  
Dong Zhang ◽  
Yueming Wang
Keyword(s):  
Water Vapor ◽  
Spectral Response ◽  
Spectral Characteristics ◽  
Calibration Method ◽  
Least Square ◽  
Response Functions ◽  
Water Vapor Absorption ◽  
Gaussian Shape ◽  
Spectral Calibration ◽  
Calibration Uncertainty

Due to the strong absorption of water vapor at wavelengths of 1350–1420 nm and 1820–1940 nm, under normal atmospheric conditions, the actual digital number (DN) response curve of a hyperspectral imager deviates from the Gaussian shape, which leads to a decrease in the calibration accuracy of an instrument’s spectral response functions (SRF). The higher the calibration uncertainty of SRF, the worse the retrieval accuracy of the spectral characteristics of the targets. In this paper, an improved spectral calibration method based on a monochromator and the spectral absorptive characteristics of water vapor in the laboratory is presented. The water vapor spectral calibration method (WVSCM) uses the difference function to calculate the intrinsic DN response functions of the spectral channels located in the absorptive wavelength range of water vapor and corrects the wavelength offset of the monochromator via the least-square procedure to achieve spectral calibration throughout the full spectral responsive range of the hyper-spectrometer. The absolute spectral calibration uncertainty is ±0.125 nm. We validated the effectiveness of the WVSCM with two tunable semiconductor lasers, and the spectral wavelength positions calibrated by lasers and the WVSCM showed a good degree of consistency.

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