Prof. Dong Liu Profile

Prof. Dong Liu

at Beijing Institute of Environmental Feature

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Publications (2)

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Proceedings Article | 27 March 2022 Paper

Retrieval of atmospheric temperature profile from the spaceborne infrared spectra with Tikhonov regularization method

Dong Liu, Jing Ma, Hongxia Mao, Yanbing Dong

Proceedings Volume 12169, 12169B6 (2022) https://doi.org/10.1117/12.2626632

KEYWORDS: Infrared radiation, Atmospheric modeling, Atmospheric optics, Radiative transfer, Atmospheric physics, Temperature metrology, Computer simulations, Information theory, Climatology, Thermal modeling

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The accurate atmospheric temperature profile retrieved from the spaceborne infrared spectra is very important data source for the evaluation of infrared engineering and the analysis of weather/climate process, especially for the place where other high-quality data sources are not available, such as the ocean and desert. Most of current algorithms are severely dependent on historical information to constrain retrieval process, which would encounter the issues of accuracy and stability in the wild field as mentioned above. To resolve this contradiction, the Gauss-Newton iteration method with Tikhonov regularization is proposed in this paper. To constrain the iteration by keeping the balance between norm of solution and norm of spectra residual, the method can select the initial profile and regularization matrix that are independent with historical information. Besides, the information content theory is employed to select the appropriate spectral channels to achieve optimal solution. The simulation experiment is conducted to validate the proposed method. The results prove that the effective retrieval profile can be achieved very quickly and is insensitive to the initial profile or spectra noise, which demonstrates its good performance.

Proceedings Article | 27 March 2022 Paper

Remote sensing radiance image simulation of the non-Lambertian land surface

Dong Liu, Jing Ma, Hongxia Mao

Proceedings Volume 12169, 1216908 (2022) https://doi.org/10.1117/12.2619527

KEYWORDS: Remote sensing, Reflectivity, Sensors, Atmospheric modeling, Reflection, Solar radiation, MODIS

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Remote sensing image realistic simulation enables a thorough preparation of earth imaging instruments and data processing algorithms before the launch. Therefore, the development of the end-to-end simulation tool is essential for the future earth observation missions. The natural land surface is mostly heterogeneous and non-Lambertian simultaneously, of which the remote sensing image cannot be reproduced very well by the existing tools. In this paper, a physical based method is proposed for remote sensing radiance image simulation of heterogeneous, non-Lambertian land surface in the solar-reflective spectral range, which generates the input signal at sensor. The successive orders of radiation interactions model is established to account for the radiative transfer processes between atmosphere and surface, so that atmospheric radiation can be decoupled with the complex surface in the more precise way. An algebraic algorithm is adopted to calculate the separated atmospheric radiation parameters. The surface parameters devoting to directional reflection are generated by surface bidirectional reflectance distribution function (BRDF) map of imaging region. In this paper, BRDF/Albedo data retrieved from Moderate Resolution Imaging Spectroradiometer (MODIS) measurements is employed to simulate the several cases by the proposed method. The results demonstrate the influence of non-Lambertian surface directional reflection on remote sensing radiance image. The difference of simulation between Lambertian and non-Lambertian surface is analyzed, which shows the necessity of this method.

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