基于PCA和SRRI的潮土土壤属性与田间光谱关系研究
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土壤与农业可持续发展国家重点实验室开放课题基金项目(0751010000)资助


Relationship between in situ spectroscopy and properties of fluvo-aquic soil based on PCA and SRRI
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    摘要:

    应用光谱分析技术可以快速无损地对土壤属性进行定量分析,是提高农田管理效率的有效途径。使用ASD Field Hand Held光谱仪测定了46个潮土土样在田间环境中350 ~ 1075 nm的光谱。采用主成分分析方法和逐步线性回归方法得到了土壤反射辐射指数(SRRI)。该指数描述了土壤属性对光谱的综合作用和反射辐射能的强弱程度。结果表明潮土 pH 和CEC与SOC、Fe2O3、Mn和TN等对光谱的影响是不同的。采用PCA和SRRI方法进行土壤属性的光谱估计,其结果精度优于偏最小二乘回归方法(PLS),而且利用土壤属性对SRRI的贡献可准确衡量光谱估计土壤属性的可行性。

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    Spectral analysis is quick and nondestructive to measure soil attributes quantitatively and it is an effective tool to improve management of farmland. Samples of fluvo-aquic soil obtained from 0-15 cm depth were grouped into calibration set (n=36) and validation set (n=10). The in situ spectral reflectance data of oven-dried samples were obtained using an ASD Field Hand Held spectrometer (350-1075 nm). PCA and stepwise linear regression were used to calculate soil reflective radiance index (SRRI) that showed integrate impact of 8 soil properties on the reflectance spectroscopy and the spectral capability of the soil. The results showed that the integrate impact of pH and CEC was different from that of SOC, Fe2O3, Mn and TN. PCA and SRRI could get the better prediction of soil properties than PLS. The ability of spectral prediction of each soil properties also can be pre-evaluated by its contribution to SRRI before measuring spectroscopy.

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汪善勤,舒 宁,蔡崇法.基于PCA和SRRI的潮土土壤属性与田间光谱关系研究[J].土壤,2008,40(6):966-970. WANG Shan-qin, SHU Ning, CAI Chong-fa. Relationship between in situ spectroscopy and properties of fluvo-aquic soil based on PCA and SRRI[J]. Soils,2008,40(6):966-970

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