The Relationship of the Leaf Surface Wettability and Degree of Reflectance Polarization
GAO Xiao-yu1, 2, 3，LU Shan1*
1. Northeast Normal University，School of Geographical Sciences，Changchun 130024，China
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：Urban greening plants can improve the quality of atmospheric environment effectively due to their dust catching property, which mainly influenced by surface characteristics and wettability. We studied the relationship between leaf surface wettability and polarized reflection characteristics because they are both relevant to the surface roughness of leaves. The contact angle of water droplet on leaf surface and the polarized reflectance spectrum from eight major plant species for urban greening in Changchun were measured by Kruss DSA 100 drop shape analysis system and multi-angle spectrum measurement system. We found the characterized band of eight plants through correlation analysis. The influence of wettability on the degree of polarization (DOP) varying with viewing angles was inquired and analyzed quantitatively in the characterized band. The results showed that when the viewing azimuth was fixed at 180°, the DOP spectrum within 400~1 000 nm increased to a maximum, and then began to decline varying with zenith angles from 0° to 60°. The correlation analysis between the deviation from 100° contact angle (θ) and the viewing zenith (θ0) showed that they were in a linear relationship, with the determination coefficient of 0.82. In this paper, the research achievements will provide feasible suggestions to the options of urban greening plant species in the future.
高晓雨，卢 珊. 植物叶片润湿性与光谱反射偏振度关系研究[J]. 光谱学与光谱分析, 2018, 38(03): 923-928.
GAO Xiao-yu，LU Shan. The Relationship of the Leaf Surface Wettability and Degree of Reflectance Polarization. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(03): 923-928.
