The Effect of Grain Size on Hyperspectral Polarization Data of Particulate Material

Author:

Golding Rachel M.1,Lapszynski Christopher S.1,Bachmann Charles M.1ORCID,Lee Chris H.1ORCID

Affiliation:

1. Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623-5603, USA

Abstract

Polarization provides useful quantitative information about scattering surfaces. In hyperspectral remote sensing of natural surfaces composed of granular materials, there are relatively few studies of polarization. Most earlier remote sensing studies of polarization have been based on multi-spectral data, and the majority focused on the negative branch of polarization, which typically appears at phase angles less than 20 degrees, using models with limited accuracy. Models of the positive branch have also shown limitations, particularly at longer phase angles. We review these earlier studies by Hapke and Shkuratov and present the results of our laboratory study using hyperspectral polarization imagery of particulate surfaces. Although the linear polarization ratio is typically a nonlinear function of phase angle, our results show that in an approximately linear region of the polarization curve, there is a correlation between the slope of the linear polarization ratio and the average grain size.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference30 articles.

1. Estimating index of refraction from polarimetric hyperspectral imaging measurements;Martin;Opt. Express,2016

2. Hyperspectral polarimetric imaging of the water surface and retrieval of water optical parameters from multi-angular polarimetric data;Gilerson;Appl. Opt.,2020

3. Atmospheric correction over the ocean for hyperspectral radiometers using multi-angle polarimetric retrievals;Hannadige;Opt. Express,2021

4. The effects of grain size on bidirectional polarized reflectance factor measurements of snow;Sun;J. Quant. Spectrosc. Radiat. Transf.,2011

5. Optical Properties of Snow Surfaces: Multiangular Photometric and Polarimetric Hyperspectral Measurements;Sun;IEEE Trans. Geosci. Remote Sens.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3