以新疆有无人为干扰土壤的实测光谱为数据源,利用去包络线法提取其吸收特征和敏感波段,建立了多种基于去包络线法的土壤盐分估算的一元、多元线性回归模型。结果表明:① 去包络线法能明显增强土壤光谱在400~610 nm和610~800 nm波段的吸收特征;② 有/无人为干扰区土壤盐分含量与去包络线一阶微分的相关性较好,敏感波段在无人为干扰区集中于可见光区(400~800 nm),而人为干扰区为可见光-近红外区(400~2 400 nm);③ 土壤盐分值预测模型精度从高到低在有/无人为干扰区基本上是:去包络线6个吸收特征模型>去包络线和去包络线一阶微分敏感波段模型>去包络线3个吸收特征模型>单个吸收特征模型。有/无人为干扰区最佳预测模型的R2分别为0.86和0.92。无人干扰区最优模型(6个吸收特征)的相对分析误差(RPD)达到了3.06,大于3,说明其能极好并且稳定的预测此区土壤盐分值。
Soil spectra under different intensities of human disturbance were used as the data sources to extract the absorption characteristics and sensitive bands by the continuum removal method. Linear regressions were established for estimating soil salinity based on the continuum removal method. The results showed that: ① The continuum removal method could be used to significantly enhance the absorption characteristics of soil spectra in wavelength bands of 400-610 nm and 610-800 nm; ② The correlation between soil salt content in the manned/unmanned disturbance area and the first derivative of the continuum removal (FDCR) was better than continuum removal (CR), the sensitive bands were concentrated in the Vis area in the unattended area (400-800 nm), and the artificially disturbed area was Vis-NIR (400-2 400 nm); ③ Basically, the accuracy of the models for predicting soil salinity in the manned/unmanned disturbance area was in an order of 6 absorption characteristic models of continuum removal>sensitive band model of CR and FDCR>3 absorption characteristic models of continuum removal>single absorption feature model. The values of R2 of the best predictive model of the manned/unmanned disturbance regions were 0.86 and 0.92, respectively. The value of the optimal model of relative percent deviation for the unmanned disturbed zone reached 3.06 and higher than 3, which revealed that the model was excellent and stable in predicting soil salinity in this area.
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