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基于多角度偏振载荷数据的中国典型地物偏振特性研究
引用本文:相坤生,程天海,顾行发,郭红,陈好,王颖,魏曦,包方闻. 基于多角度偏振载荷数据的中国典型地物偏振特性研究[J]. 物理学报, 2015, 64(22): 227801-227801. DOI: 10.7498/aps.64.227801
作者姓名:相坤生  程天海  顾行发  郭红  陈好  王颖  魏曦  包方闻
作者单位:1. 中国科学院遥感与数字地球研究所, 遥感科学国家重点实验室, 北京 100101;2. 中国科学院大学, 北京 100049
基金项目:国家自然科学基金(批准号: 41371015, 41001207)和国家重点基础研究发展计划(批准号: 2010CB950800)资助的课题.
摘    要:相对于传统的光学遥感, 多角度偏振遥感不仅可以获取辐射强度信息, 而且可以获取偏振强度信息. 基于多角度偏振卫星载荷观测的中国典型地物的偏振反射率数据, 获取了地表偏振双向反射模型——Nadal模型的中国区域模型参数值. 在此基础上, 基于修正的Nadal模型研究了中国区域森林、草地、沙漠三种典型地物的多角度偏振特性. 研究表明: 1)各地物的偏振反射率均随着散射角的增大而减小, 随着太阳天顶角和卫星观测天顶角的增大而增大; 2)森林、草地和沙漠三种典型地表偏振反射率存在明显差别, 森林的偏振反射率最低, 草地的偏振反射率次之, 沙漠的偏振反射率大约为森林的两倍; 3)不同地物之间的偏振反射率差值均随着卫星观测天顶角和太阳天顶角的增大而增大. 研究结果可为基于多角度偏振遥感数据探测地表偏振特性和反演气溶胶参数提供先验知识.

关 键 词:多角度偏振  偏振反射率  Nadal模型  遥感反演
收稿时间:2015-06-08

Polarized properties of typical surface types over China based on the multi-angular polarized remote sensing measurements
Xiang Kun-Sheng,Cheng Tian-Hai,Gu Xing-Fa,Guo Hong,Chen Hao,Wang Ying,Wei Xi,Bao Fang-Wen. Polarized properties of typical surface types over China based on the multi-angular polarized remote sensing measurements[J]. Acta Physica Sinica, 2015, 64(22): 227801-227801. DOI: 10.7498/aps.64.227801
Authors:Xiang Kun-Sheng  Cheng Tian-Hai  Gu Xing-Fa  Guo Hong  Chen Hao  Wang Ying  Wei Xi  Bao Fang-Wen
Affiliation:1. State Key Laboratory of Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;2. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:The surface polarized reflectance is able to fully reflect the physical characteristics of surface, such as vegetation classification, plant biomass estimation, leaf angle distribution and surface water content. The bidirectional polarization distribution function is a useful tool for quantitatively describing the surface polarized reflectance. The multi-angle polarized remote sensing reveals a significant advantage in capturing the radiation and polarization information. The polarization and directionality of the earth reflectance (POLDER) instrument is the only sensor which has provided a long-term trend of polarized measurements. Its combination of multi-spectral, polarization and multi-angle observations has considerable capability for retrieving ocean, land, cloud and aerosol properties. Until now, data obtained from POLDER has been widely used to study various surface bidirectional polarized reflectance models, especially Nadal model. However, parameters of Nadal model reveal a low accuracy in China region. In this study, the parameters of Nadal model suitable for China region are obtained and analyzed based on the POLDER-2 polarized reflectance data. Based on the modified parameters of Nadal model, polarized reflectance under different surface types is further analyzed. Our results show that the polarized reflectance retrieved from modified parameters of Nadal model reveals better correlation with the POLDER-2 products than the polarized reflectance from Nadal official parameters under different surface types. The polarization properties of three typical surfaces (forest, grassland and desert) are further investigated and reveal that 1) different surface polarized reflectances decrease with the increase of the scattering angle, and the polarized reflectance of the same object decreases as the normalized difference vegetation index increases; 2) significant discrepancies exist between the polarized reflectances of different surfaces, the polarized reflectance of forest is the lowest in the three surface types, then that of grass is the second lowest, and desert reveal the largest value (about twice that of forest), 3) the discrepancies of polarized reflectance between different surfaces have an increasing trend as satellite view zenith angle increases. This study will provide a priori knowledge for the detection of surface polarization properties and aerosol parameters based on multi-angle polarization remote sensing data, and also establish a good foundation for the quantitative applications of GF-5 satellite multi-angle polarization imager to be launched soon in China.
Keywords:multi-angle polarization  polarization reflectance  Nadal model  remote sensing inversion
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