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利用ASD Field Spec 4便携式快速扫描分光辐射光谱仪,对采自吉林省长白山地区粗面岩质火山碎屑物发育的土壤进行光谱反射率测定,分析其光谱特征;对土壤原始光谱反射率进行一阶微分、二阶微分、倒数的微分、倒数的对数的一阶微分和倒数的对数的二阶微分等五种数学处理,并应用多元逐步回归分析建立土壤有机质含量的高光谱预测模型。研究表明:土壤有机质含量与原始光谱反射率在565~675 nm波段内呈显著负相关;一阶微分光谱在415 nm、445~605 nm波段内与土壤有机质含量呈极显著负相关,在705~985 nm、1015~1265 nm波段内呈极显著正相关,在865 nm波段处相关系数达到极大值0.87;建立的土壤有机质多元逐步线性回归预测模型中,以一阶微分模型为最优,R2为0.954,可用于粗面岩质火山碎屑物发育土壤有机质含量的快速测定。
The spectral reflectance of soils developed from the rough rock volcaniclastic material collected from Changbai Mountain in Jilin Province was determined by ASD Field Spec 4 portable rapid scanning spectroradiometer. The spectral characteristics of the soils were analyzed. Differential, second order differential, reciprocal differential, reciprocal logarithmic first order differential and reciprocal logarithmic second order differential are used to establish the hyperspectral prediction model of soil organic matter by using multiple stepwise regression analysis. The results showed that soil organic matter content was significantly negatively correlated with the original spectral reflectance in the 565-675 nm band. The first order derivative spectra showed a significantly negative correlation with soil organic matter content in the bands of 415 nm and 445-605 nm. 985 nm and 1015 ~ 1265 nm. The correlation coefficient reached a maximum of 0.87 at 865 nm. In the multiple linear stepwise regression model of soil organic matter, the first-order differential model was the best, R2 0.954, which can be used for the rapid determination of soil organic matter in the development of rough rock pyroclastic matter.