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Function of polarization on the bidirectional reflectance factor of vegetation samples

  • role： First author第一作者
  • Affiliation：

    School of Geographical Science, Northeast Normal University, Changchun 130024, China

  • Email：sunzq465@nenu.edu.cn
  • Introduction：孙仲秋，1986年生，男，副教授，研究方向为偏振光遥感理论与应用。E-mail：sunzq465@nenu.edu.cn
Zhongqiu SUN1,  
  • role： Corresponding author通信作者
  • Affiliation：

    School of Geographical Science, Northeast Normal University, Changchun 130024, China

  • Email：zhaoys975@nenu.edu.cn
  • Introduction：赵云升，1947年生，男，教授，研究方向为偏振光遥感。E-mail：zhaoys975@nenu.edu.cn
Yunsheng ZHAO1*,  
  • Affiliation：

    School of Geographical Science, Northeast Normal University, Changchun 130024, China

Shan LU1,  
  • Affiliation：

    College of Urban and Environmental Science, Changchun Normal University, Changchun 130032, China

Yunfeng LYU2

resumen

In this study, we investigate the relationship between polarization and the structural property of vegetation covers to deepen our understanding of the physical mechanism of multiangle polarized light from natural surfaces, which is basic for describing the properties of Earth’s surface using polarized remote sensing. In this study, we explain the physical mechanism of the polarization properties of vegetation on the basis of the Fresnel equation and its derivative polarized reflectance models and compare them with the polarization measurement results of a single leaf and two vegetation covers, which are measured using a goniometer system. The Fresnel equation is effective for explaining the polarization of vegetation in forward-scattering directions, however, other theories should be considered in explaining polarization in backward-scattering directions. The polarization of vegetation covers can be considered as “noise” when we use the photometric signal, such as the separation of specular portion (which is computed by bidirectional polarized reflectance factor) from the total reflectance factor, which decreases the difference between BRF model results and measured results from 30% to 20%. Moreover, it possesses potentially useful information, such as the relationship between model parameter and vegetation cover roughness, which can characterize the structure of vegetation covers. Investigating the polarization of vegetation contributes to the understanding of the optical property of natural surfaces and potentially provides an additional and effective method for remote-sensing applications of vegetation covers. Our study also potentially provides a method for measuring the polarization of vegetation covers and demonstrates the physical rules of polarization in vegetation covers, such as the flatter the vegetation samples, the more polarization can be measured, and separating polarization from the total reflectance factor contributes to the improvement of the ability of current BRF models to simulate vegetation reflection. These results highlight the efficiency of polarized remote sensing on characterizing natural surfaces such as vegetation covers.

palabra clave

polarized remote sensing;multi-angle;vegetation;bidirectional reflectance distribution model;specular reflection

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