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Vegetation polarimetric effect of three-dimensional structure and leaf inclination of canopy

  • role： First author第一作者
  • Affiliation：

    School of Electric and Information Engineering, Hunan University, Changsha 410082, China

    Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China

  • Email：thebinyang@163.com
  • Introduction：杨彬，1989年生，男，讲师，研究方向为植被定量遥感，偏振遥感，植被辐射的传输模型。E-mail：thebinyang@163.com
Bin YANG12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China

    Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China

  • Email：lyan@pku.edu.cn
  • Introduction：晏磊，1956年生，男，教授，研究方向为偏振与无人机仿生遥感、高分辨率成像与遥感定标、仿生导航。E-mail：lyan@pku.edu.cn
Lei YAN23*,  
  • Affiliation：

    Earth and Environment Department, Boston University, Boston MA02215, US

Knyazikhin Yuri4,  
  • Affiliation：

    Beijing Key Laboratory of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, China

    Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing 100871, China

Siyuan LIU23

реферат

Studying the polarization characteristics of vegetation is important in vegetation monitoring and component quantitative inversion. The reflected radiation from the vegetation canopy possesses a polarization characteristic that is related to the interaction of incident radiation and vegetation canopy and the distribution of leaf inclination angles. This study analyzes the effect of photon–canopy interaction on the polarization characteristics of vegetation and Research Scanning Polarimeter (RSP) utilizes data combined with the Rondeaux and Herman model to study the polarization characteristics of vegetation under different leaf inclination distributions. A systematic comparative analysis is of more significant than a polarization study considering that leaf inclination distribution satisfies spherical distribution. This study presents the mechanism of photon–canopy interaction and some existing results related to the impact of canopy structure on the polarization characteristics of vegetation. As for the impact of leaf inclination, this study utilizes RSP data collected on September 16, 2005 in Oklahoma, USA, after atmospheric correction and dense vegetation extraction, and then combines the Rondeaux and Herman model for a systematic comparative analysis on wavelength, sun observation geometry, and leaf inclination distribution. In this study, we analyzed the impact of photon–canopy interaction on canopy structure and leaf inclination distribution on the polarization characteristics of vegetation. We found that the canopy structure is highly related with polarization characteristics, and the removal of the canopy structure makes polarization a major factor that influences vegetation reflection. We analyzed the stability of the polarimetric reflectance of the vegetation in wavelength range [400, 2500], the distribution of specular reflection in different directions, and the influence of different leaf inclinations and canopy structures on polarimetric radiation. Results of these analyses are clearly presented in the figures in this paper.(1) The effects of canopy structure and leaf polarization on the canopy reflectance of vegetation are closely related. Removing the influence of canopy structure is beneficial to the analysis of polarization characteristics and makes the polarization characteristics a dominant factor affecting canopy reflection. Neglecting the polarization property makes the scattering coefficient (obtained by removing canopy structure impact) produce up to 140% error; this part of the error is almost negligible before removing the canopy structure. (2) The polarimetric effect of multiangle and multitemporal remote sensing on the surface cannot be ignored. Multiangle polarization characteristic analysis and error rejection provide many possibilities for remote-sensing observations under low confinement conditions and help expand the space–time scale of earth observation. (3) Polarization characteristics under a given incident observation geometry is not sensitive to wavelength, and the mirror reflection of the canopy for the incident radiation exists in all directions due to the distribution of the blade inclination angle. Polarization reflectance increases with the increase in phase angle, and polarization characteristics are affected by the distribution of the leaf inclination angle, especially at large phase angles, allowing the use of polarization remote sensing to classify species and obtain canopy structural parameters. In this study, the polarization method is used to represent a high-precision and rich directional information acquisition process in high-resolution quantitative remote sensing and is the further exploration of effective information based on existing remote sensing methods. The effective information contributes to the further description and study of the greenhouse effect and provides a theoretical basis for the basic propositions in high-resolution remote sensing inversion.

ключеви́че слова́

sun-sensor geometry;canopy structure;leaf inclination;polarimetric characteristics;RSP;high resolution remote sensing

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