期刊论文

Removingthe Effect of Soil Moisture on Prediction of Soil Organic Matter with Hyperspectral Reflectance Using External Parameter Orthogonalization

中文

土壤学报

0564-3929

2017

54

5

1068-1078

10.11766/trxb201612040396

国家自然科学基金项目（41401232）； 中央高校基本科研业务费专项资金项目（CCNU15A05006）； 湖北省自然科学基金面上项目（2016CFB558）； 华中师范大学研究生教育创新资助项目（2016CXZZ15）共同资助~~；

本校为第一机构

野外进行土壤有机质的光谱快速预测时需考虑土壤含水量的影响。在室内设计人工加湿实验分别获取9个土壤含水量梯度(0~ 32%,间隔4%)的土壤光谱数据,分析土壤含水量变化对光谱的影响,再利用外部参数正交化法(external parameter orthogonalization, EPO)进行湿土光谱校正,并结合偏最小二乘回归和支持向量机回归分别建立土壤有机质预测模型。结果表明,土壤光谱反射率随着土壤含水量的增加呈非线性降低趋势,偏最小二乘回归模型的预测偏差比为1.16,模型不可用;经EPO算法校正后,各土壤含水量梯度之间的光谱差异性降低,能实现土壤有机质在不同土壤含水量梯度的有效估算,偏最小二乘回归和支持向量机回归...

[Objective]Soil organic matter is an important index of soil properties,because it is vital to crop growth and soil quality. The technology of hyperspectral analysis is a rapid,convenient,low-cost and alternative method and exhibits an increasingly remarkable development potential in estimation of soil organic matter. However,when hyperspectral reflectance is used in the field,there are several external environmental factors,including soil moisture content,temperature,and surface of the soil that may affect soil spectra. Especially soil moisture content,a major limit to field hyperspectral sur...