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Estimation of soil pH of Mount Beigu wetland by visible and near infrared reflectance spectroscopy

机译:可见和近红外反射光谱法估算北固山湿地的土壤pH

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摘要

pH of the wetland soil is one of the most important indicators for aquatic vegetation and water bodies. Mount Beigu Wetland, just near the Yangtse River, is under ecological recovery. Visible and near infrared reflectance spectroscopy was adopted to estimate soil pH of the wetland. The spectroradiometer, FieldSpec 3 (ASD) with a full spectral range (350-2500 nm), was used to acquire the reflectance spectra of wetland soil, and soil pH was measured with the pH meter of IQ150 (Spectrum) and InPro 3030 (Mettler Toledo). 146 soil samples were taken with soil sampler (Eijkelkamp) according to different position and depth, which covered the wider range of pH value from 7.1 to 8.39. 133 samples were used to establish the calibration model with the method of partial least square regression and principal component analysis regression. 13 soil samples were used to validate the model. The results show that the model is not good, but the mean error and root mean standard error of prediction are less (1.846% and 0.186 respectively). Spectral reflectance-based estimation of soil pH of the wetland is applicable and the calibration model needs to be improved.
机译:湿地土壤的pH值是水生植被和水体的最重要指标之一。长江附近的北固湿地正在生态恢复中。采用可见和近红外反射光谱法估算湿地的土壤pH。使用全光谱范围(350-2500 nm)的分光辐射计FieldSpec 3(ASD)获取湿地土壤的反射光谱,并使用IQ150(Spectrum)和InPro 3030(Mettler)的pH计测量土壤的pH托莱多)。根据不同的位置和深度,用土壤采样器(Eijkelkamp)采集了146个土壤样品,其pH值范围从7.1到8.39。采用偏最小二乘回归和主成分分析回归的方法建立了133个样本的校正模型。使用13个土壤样本来验证模型。结果表明,该模型不好,但预测的平均误差和均方根标准误差较小(分别为1.846%和0.186)。基于光谱反射率的湿地土壤pH值估算是适用的,并且需要改进校准模型。

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