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首页> 外文期刊>Applied Spectroscopy: Society for Applied Spectroscopy >Visible, Near-Infrared, and Mid-Infrared Spectroscopy Applications for Soil Assessment with Emphasis on Soil Organic Matter Content and Quality: State-of-the-Art and Key Issues
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Visible, Near-Infrared, and Mid-Infrared Spectroscopy Applications for Soil Assessment with Emphasis on Soil Organic Matter Content and Quality: State-of-the-Art and Key Issues

机译:可见,近红外和中红外光谱法在土壤评估中的应用,重点是土壤有机质含量和质量:最新技术和关键问题

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摘要

Visible near-infrared (Vis-NIR) reflection spectroscopy and mid-infrared (mid-IR) reflection spectroscopy are cost- and time-effective and environmentally friendly techniques that could be alternatives to conventional soil analysis methods. Successful determination of spectrally active soil components, including soil organic matter (SOM), depends on the selection of suitable pretreatment and multivariate calibration techniques. The objective of the present review is to critically examine the suitability of Vis-NIR (350-2500 nm) and mid-IR (4000-400 cm~(-1)) spectroscopy as a tool for SOM quantity and quality determination. Particular attention is paid to different pretreatment and calibration procedures and methods, and their ability to predict SOM content from Vis-NIR and mid-IR data is discussed. We then review the most recent research using spectroscopy in different calibration scales (local, regional, or global). Finally, accuracy and robustness, as well as uncertainty in Vis-NIR and mid-IR spectroscopy, are considered. We conclude that spectroscopy, especially the mid-IR technique in association with Savitzky-Golay smoothing and derivatization and the least squares support vector machine (LS-SVM) algorithm, can be useful in determining SOM quantity and quality. Future research conducted for the standardization of protocols and soil conditions will allow more accurate and reliable results on a global and international scale.
机译:可见近红外(Vis-NIR)反射光谱法和中红外(mid-IR)反射光谱法是具有成本效益和时间效益且环保的技术,可以替代传统的土壤分析方法。光谱活性土壤成分(包括土壤有机物(SOM))的成功测定取决于合适的预处理方法和多元校准技术的选择。本综述的目的是严格审查Vis-NIR(350-2500 nm)和中红外(4000-400 cm〜(-1))光谱作为SOM数量和质量测定工具的适用性。特别注意不同的预处理和校准程序和方法,并讨论了它们从Vis-NIR和中红外数据预测SOM含量的能力。然后,我们回顾了使用光谱法在不同校准范围(局部,区域或全局)下进行的最新研究。最后,考虑了Vis-NIR和中红外光谱的准确性和鲁棒性以及不确定性。我们得出结论,光谱法,尤其是与Savitzky-Golay平滑和衍生化以及最小二乘支持向量机(LS-SVM)算法相关的中红外技术,对于确定SOM的数量和质量很有用。为协议和土壤条件的标准化进行的未来研究将在全球和国际范围内提供更准确和可靠的结果。

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