首页> 外文期刊>Applied Spectroscopy Reviews: An International Journal of Principles, Methods, and Applications >The Performance of Visible, Near-, andMid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
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The Performance of Visible, Near-, andMid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties

机译:可见,近红外和中红外反射光谱在预测土壤物理,化学和生物特性方面的性能

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摘要

This review addresses the applicability of visible (Vis), near-infrared (NIR), and mid-infrared (MIR) reflectance spectroscopy for the prediction of soil properties. We address (1) the properties that can be predicted and the accuracy of the predictions, (2) the most suitable spectral regions for specific soil properties, (3) the number of predictions reported for each property, and (4) in-field versus laboratory spectral techniques. We found the following properties to be successfully predicted: soil water content, texture, soil carbon (C), cation exchange capacity, calcium and magnesium (exchangeable), total nitrogen (N), pH, concentration of metals/metalloids, microbial size, and activity. Generally, MIR produced better predictions than Vis-NIR, but Vis-NIR outperformed MIR for a number of properties (e.g., biological). An advantage of Vis-NIR is instrument portability although a new range of MIR portable devices is becoming available. In-field predictions for clay, water, total organic C, extractable phosphorus, total C and N appear similar to laboratory methods, but there are issues regarding, for example, sample heterogeneity, moisture content, and surface roughness. The nature of the variable being predicted, the quality and consistency of the reference laboratory methods, and the adequate representation of unknowns by the calibration set must be considered when predicting soil properties using reflectance spectroscopy.
机译:这项审查解决了可见性(Vis),近红外(NIR)和中红外(MIR)反射光谱法在土壤性质预测中的适用性。我们研究(1)可以预测的特性和预测的准确性,(2)针对特定土壤特性的最合适的光谱区域,(3)每个特性报告的预测数量,以及(4)现场与实验室光谱技术相比。我们发现以下特性可以成功预测:土壤含水量,质地,土壤碳(C),阳离子交换能力,钙和镁(可交换),总氮(N),pH,金属/准金属的浓度,微生物的大小,和活动。通常,MIR产生的预测要比Vis-NIR更好,但在许多特性(例如生物学特性)方面,Vis-NIR的表现都优于MIR。 Vis-NIR的一个优点是仪器的便携性,尽管新的MIR便携式设备系列已经问世。对粘土,水,总有机碳,可萃取磷,总碳和氮的现场预测似乎与实验室方法相似,但存在例如样品异质性,水分含量和表面粗糙度等问题。在使用反射光谱法预测土壤性质时,必须考虑要预测的变量的性质,参考实验室方法的质量和一致性以及通过校准集对未知物的充分表示。

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