Mr. Yuguang Li Profile

Yuguang Li

Student at SUNY College of Environmental Science and Forestry

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Proceedings Article | 8 October 2011 Paper

A computer simulation model to compute the radiation transfer of mountainous regions

Yuguang Li, Feng Zhao, Rui Song

Proceedings Volume 8174, 817426 (2011) https://doi.org/10.1117/12.897881

KEYWORDS: Photons, 3D modeling, Scattering, Monte Carlo methods, Multiple scattering, Computer simulations, Sun, Performance modeling, Data modeling, Reflectivity

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In mountainous regions, the radiometric signal recorded at the sensor depends on a number of factors such as sun angle, atmospheric conditions, surface cover type, and topography. In this paper, a computer simulation model of radiation transfer is designed and evaluated. This model implements the Monte Carlo ray-tracing techniques and is specifically dedicated to the study of light propagation in mountainous regions. The radiative processes between sun light and the objects within the mountainous region are realized by using forward Monte Carlo ray-tracing methods. The performance of the model is evaluated through detailed comparisons with the well-established 3D computer simulation model: RGM (Radiosity-Graphics combined Model) based on the same scenes and identical spectral parameters, which shows good agreements between these two models' results. By using the newly developed computer model, series of typical mountainous scenes are generated to analyze the physical mechanism of mountainous radiation transfer. The results show that the effects of the adjacent slopes are important for deep valleys and they particularly affect shadowed pixels, and the topographic effect needs to be considered in mountainous terrain before accurate inferences from remotely sensed data can be made.

Proceedings Article | 8 October 2011 Paper

A radiosity-based model to compute the radiation transfer of soil surface

Feng Zhao, Yuguang Li

Proceedings Volume 8174, 81742G (2011) https://doi.org/10.1117/12.898131

KEYWORDS: 3D modeling, Monte Carlo methods, Soil science, Reflectivity, Scattering, Sun, Remote sensing, Solar radiation, Particles, Statistical analysis

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A good understanding of interactions of electromagnetic radiation with soil surface is important for a further improvement of remote sensing methods. In this paper, a radiosity-based analytical model for soil Directional Reflectance Factor's (DRF) distributions was developed and evaluated. The model was specifically dedicated to the study of radiation transfer for the soil surface under tillage practices. The soil was abstracted as two dimensional U-shaped or V-shaped geometric structures with periodic macroscopic variations. The roughness of the simulated surfaces was expressed as a ratio of the height to the width for the U and V-shaped structures. The assumption was made that the shadowing of soil surface, simulated by U or V-shaped grooves, has a greater influence on the soil reflectance distribution than the scattering properties of basic soil particles of silt and clay. Another assumption was that the soil is a perfectly diffuse reflector at a microscopic level, which is a prerequisite for the application of the radiosity method. This radiosity-based analytical model was evaluated by a forward Monte Carlo ray-tracing model under the same structural scenes and identical spectral parameters. The statistics of these two models' BRF fitting results for several soil structures under the same conditions showed the good agreements. By using the model, the physical mechanism of the soil bidirectional reflectance pattern was revealed.

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