Estimation of Rock Characteristics Based on Polarization Spectra: Surface Roughness, Composition, and Density

IF 1 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
Feizhou Zhang, Xufang Liu, Yun Xiang, Zihan Zhang, Siyuan Liu, Lei Yan
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引用次数: 1

Abstract

Surface polarization characteristics provide crucial structural information of the Earth's surface. As two key elements of the natural geographical environment, rocks and soils play an important role in the study of surface processes. Inherent surface characteristics, such as surface roughness, composition, and density are critical parameters for the remote monitoring of land surfaces as they affect the polarization characteristics of scattered light waves. In this study, we investigated the relationship between surface roughness, composition, and density, and the polarization spectra of limestone-dolomite series rock. Results reveal a power function relationship between the surface roughness and the degree of polarization peaks among different detection zenith and azimuth angles. The depth and position of the absorbing waveband are significantly correlated with the characteristic component contents. The rock density was determined via the polarized reflection spectra, with the Earth's surface density calculations associated with a 2.6% divergence from the current recognized data. Our results demonstrate the ability of polarized spectra to retrieve surface roughness, composition, and density, with potential for further development in future work.
基于偏振光谱的岩石特性估计:表面粗糙度、成分和密度
表面极化特征提供了地球表面的重要结构信息。岩石和土壤作为自然地理环境的两个关键要素,在地表过程研究中起着重要作用。地表固有的粗糙度、成分和密度等特征会影响散射光波的偏振特性,是地表遥感监测的关键参数。本文研究了灰岩-白云岩系列岩石的表面粗糙度、组成和密度与偏振光谱的关系。结果表明,在不同探测天顶和方位角下,表面粗糙度与极化峰度呈幂函数关系。吸收波段的深度和位置与特征成分含量显著相关。岩石密度是通过偏振反射光谱确定的,地球表面密度计算与当前公认的数据有2.6%的差异。我们的研究结果表明,偏振光谱能够检索表面粗糙度、成分和密度,在未来的工作中有进一步发展的潜力。
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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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