Polarization of Light Reflected by Grass: Modeling Using Visible-Sunlit Areas

IF 2 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Bin Yang, Lei Yan, Siyuan Liu
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引用次数: 1

Abstract

The Bidirectional polarization distribution function (BPDF) of land surfaces is important for studies of land surfaces and aerosol. With the availability of a huge number of polarization measurements, several semi-empirical BPDF models have been proposed. However, these models do not pay much attention to canopy structure, which is fundamental for generation of polarization. In this article, we propose a new BPDF model using canopy structure information, which is parameterized by visible-sunlit areas. It is evaluated over grassland using POLDER BPDF and MODIS leaf area index data sets. Experiments suggest that compared to Nadal–Bréon and Litvinov models, the new BPDF model reduces root-mean-square error by 7% and 10%, respectively. The new BPDF model also provides better performance when it is fitted using observations clustered by sun zenith angle. The new BPDF model thus provides an effective tool for the study of land surface polarization.
草反射光的偏振:利用可见阳光区域建模
陆地表面的双向极化分布函数(BPDF)对于研究陆地表面和气溶胶具有重要意义。随着大量极化测量的可用性,已经提出了几个半经验BPDF模型。然而,这些模型并没有太多地关注冠层结构,而冠层结构是极化产生的基础。在本文中,我们使用冠层结构信息提出了一个新的BPDF模型,该模型由可见阳光区域参数化。使用POLDER BPDF和MODIS叶面积指数数据集在草地上对其进行了评估。实验表明,与Nadal–Bréon和Litvinov模型相比,新的BPDF模型分别将均方根误差降低了7%和10%。当使用按太阳天顶角聚集的观测值进行拟合时,新的BPDF模型也提供了更好的性能。因此,新的BPDF模型为研究陆地表面极化提供了一个有效的工具。
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来源期刊
Photogrammetric Engineering and Remote Sensing
Photogrammetric Engineering and Remote Sensing 地学-成像科学与照相技术
CiteScore
1.70
自引率
15.40%
发文量
89
审稿时长
9 months
期刊介绍: Photogrammetric Engineering & Remote Sensing commonly referred to as PE&RS, is the official journal of imaging and geospatial information science and technology. Included in the journal on a regular basis are highlight articles such as the popular columns “Grids & Datums” and “Mapping Matters” and peer reviewed technical papers. We publish thousands of documents, reports, codes, and informational articles in and about the industries relating to Geospatial Sciences, Remote Sensing, Photogrammetry and other imaging sciences.
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