利用物理模型对矿山土壤的双向反射率分布进行定量分析

IF 4 2区 农林科学 Q2 SOIL SCIENCE European Journal of Soil Science Pub Date : 2024-11-05 DOI:10.1111/ejss.70003
Haimei Lei, Nisha Bao, Sihan Peng, Xiaoyan Yang, Zhiwei Lu
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引用次数: 0

摘要

非朗伯表面的特点是颗粒大小不一,分布离散,导致反射率在不同方向分布不均。粗颗粒含量高且颗粒分布不均匀的矿山土壤,其表面具有明显的非兰伯特特性。因此,不仅要垂直观测反射光谱,还要多角度观测反射光谱,这与矿山土壤的物理和化学特性(如土壤有机碳、含水量和颗粒大小)有关。了解不同粒径矿山土壤的双向反射率分布,对于利用光谱准确估算土壤特性至关重要。目前利用光谱估算土壤特性的方法主要侧重于垂直观测,忽略了双向反射特性。本研究报告了不同粒径矿山土壤的双向反射率分布。此外,还评估了不同双向反射分布函数(BRDF)模型在模拟不同粒径矿山土壤双向反射率方面的性能。研究人员从三个典型矿区采集了土壤样本,并将其筛分为 25 至 3500 μm 的七种粒径。在实验室中使用东北大学双向反射率测量系统测量了可见光-近红外波长区域的双向反射率。比较了五种 BRDF 模型(各向同性多次散射近似、各向异性多次散射近似、H2008、H2012 和 SOILSPECT)在模拟不同粒径矿山土壤双向反射率分布时的性能。Sobol 敏感度指数用于量化 BRDF 模型中各参数的贡献。结果表明:(1) 矿山土壤小颗粒(25 μm)的反射率高于大颗粒(3500 μm)。大颗粒(3500 μm)表现为后向散射,而小颗粒(25 μm)由于二氧化硅含量高,表现出极强的前向散射特性;(2) SOILSPECT 模型在模拟矿山土壤双向反射率方面优于其他 BRDF 模型,且均方根误差(0.004-0.04)最小;(3) 在 SOILSPECT 模型中,单散射反照率(ɷ)参数的作用最大。相位函数中的四个参数(b、b′、c 和 c′)有效地显示了不同粒径矿山土壤的散射行为。这些发现加深了我们对不同粒径矿山土壤散射特性的理解,可用于提高从矿山土壤中提取粒径和其他土壤特性的准确性。
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Quantitative characterization of bidirectional reflectance distribution of mine soil using physical models

The non-Lambertian surface features varying particle size and discrete distribution, resulting in reflectance to be unevenly distributed in different directions. Mine soil with a high content of coarse particles and non-uniform particle distribution exhibits significant non-Lambertian properties on its surface. Consequently, not only vertical observation of the reflectance spectra but also multi-angle reflectance spectra are related to the physical and chemical properties (e.g. soil organic carbon, moisture content and particle size) of mine soil. Understanding the bidirectional reflectance distribution of mine soil with various particle sizes is essential for accurately estimating soil properties using spectroscopy. Current estimations of soil properties using spectroscopy mainly focus on vertical observations, overlooking the bidirectional reflectance characteristics. This study reports the bidirectional reflectance distribution of mine soil with various particle sizes. Furthermore, the performance of different bidirectional reflectance distribution function (BRDF) models in simulating the bidirectional reflectance of mine soil with various particle sizes was evaluated. Soil samples from three typical mine areas were collected and sieved into seven particle sizes ranging from 25 to 3500 μm. The bidirectional reflectance in the Vis–NIR wavelength region was measured in a laboratory using the Northeastern University bidirectional reflectance measurement system. The performance of five BRDF models (isotropic multiple scattering approximation, anisotropic multiple scattering approximation, H2008, H2012 and SOILSPECT) in modelling the bidirectional reflectance distribution of mine soil with different particle sizes was compared. Sobol's sensitivity indices were used to quantify the contributions of the parameters in the BRDF models. The results showed that (1) small mine soil particles (25 μm) exhibited greater reflectance than large particles (3500 μm). Large particles (3500 μm) exhibited backward scattering, whereas small particles (25 μm) exhibited extremely forward scattering characteristics because of the high silicon dioxide content; (2) the SOILSPECT model outperformed the other BRDF models in simulating the bidirectional reflectance of mine soil and had the smallest root mean square error (0.004–0.04); (3) the single-scattering albedo (ɷ) parameter had the greatest contribution in the SOILSPECT model. Four parameters in the phase function (b, b′, c and c′) effectively indicated the scattering behaviour of mine soil with different particle sizes. These findings improve our understanding of the scattering characteristics of mine soil with various particle sizes and can be used to improve the accuracy of extracting particle size and other soil properties from mine soil.

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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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