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Updated: Mar 28, 2026

Improving Infrared Spectroscopy Characterization of Soil Organic Matter with Spectral Subtractions
Published on: January 10, 2019
[Factors Analysis for CO2 Retrieval from the Ground-Based Hyperspectral Measurements in the Short Wave Infrared]
Abstract:
Ground-based CO2 inversion accuracy determines the understanding of CO2 source and sink. However the study about factors affecting ground-based CO2 inversion. In order to improve CO2 inversion accuracy, the effects from aerosol, spectral shift, spectral band selection, spectrometer response function type, half width and truncation error have been analyzed by using radiative transfer model. The results show that: (1) the multiple scattering of aerosol can be ignored when instrument field of view is less than 1.5° and aerosol optical depth is less than 0.5. (2) The inversion results are smaller when there are spectral offsets. The inversion errors increase nonlinear with spectral offsets. And the higher the spectral resolution, the larger the effect of spectral shift. (3) Different spectral bands have various average signal-to-noise ratio, selecting channels with appropriate signal-to-noise ratio and enhancing instrument signal-to-noise ratio can reduce the effect of instrument noise. (4) The higher the instrument resolution, the more important the degree of accuracy of instrument line function for simulated spectrum. Therefore, for hyper-spectral observation, the constancy of environmental temperature is key of acquiring high precision inversion results. (5) For over-high spectral resolution, simulated spectrum is anamorphic due to crosstalk effect. Therefore the crosstalk effect must be considered when the spectrometer resolution is advanced.
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