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首页> 外文期刊>Australian Journal of Soil Research >Evaluating near infrared spectroscopy for field prediction of soil properties
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Evaluating near infrared spectroscopy for field prediction of soil properties

机译：评估近红外光谱以预测土壤性质

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This paper demonstrates the application of near infrared diffuse reflectance spectroscopy (NIR-DRS) measurements as part of digital soil mapping. We also investigate whether calibration functions developed from a spectral library can be used for rapid characterisation of soil properties in the field. Soil samples were collected along 24 toposequences in the Pokolbin irrigation district, ~7kmpo of predominantly agricultural land in the Hunter Valley, NSW, Australia. Soil samples at 2 depths: 0-0.10 and 0.40-0.50m were collected. The soil samples were scanned using NIR under 3 different conditions: field condition, dried unground, and dried ground. A separate spectral library containing soil laboratory measurements was used to develop functions to predict 3 main soil properties from NIR spectra (total C content, clay content, and sum of exchangeable cations). The absorbance spectra were found to be different for the 3 soil conditions. The field spectra appear to have higher absorbance, followed by dried unground samples and then dried ground samples. Although most spectral signatures or peaks were similar for the 3 soil conditions, field samples appear to have higher absorbance, particularly at 1400nm and 1900nm. The convex hull of the first 2 principal components of the soil spectra is an easy tool to evaluate the similarity of spectra from a calibration set to an observation. For field prediction, samples need to be calibrated using field samples. Finally, this study shows that NIR-DRS measurement is a useful part of digital soil mapping.
机译：本文演示了近红外漫反射光谱（NIR-DRS）测量在数字土壤制图中的应用。我们还研究了从光谱库开发的校准函数是否可用于野外土壤特性的快速表征。在澳大利亚新南威尔士州亨特谷（Hunter Valley）约7kmpo的主要农业用地-波高尔宾（Pokolbin）灌溉区中，沿着24个点采集了土壤样品。收集2个深度的土壤样品：0-0.10和0.40-0.50m。使用NIR在3种不同条件下对土壤样品进行扫描：田间条件，未研磨干燥和干燥的地面。一个单独的包含土壤实验室测量值的光谱库用于开发功能，以从NIR光谱预测3种主要土壤特性（总C含量，粘土含量和可交换阳离子的总和）。发现三种土壤条件的吸收光谱不同。场光谱似乎具有更高的吸收率，其后是干燥的未研磨样品，然后是干燥的研磨样品。尽管在3种土壤条件下大多数光谱特征或峰都相似，但野外样品似乎具有更高的吸光度，尤其是在1400nm和1900nm处。土壤光谱的前2个主要成分的凸包是一种易于使用的工具，可以评估从校准集到观测值的光谱相似度。对于现场预测，需要使用现场样本对样本进行校准。最后，这项研究表明NIR-DRS测量是数字土壤制图的有用部分。

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