荒漠-绿洲交错带土壤N、P、K含量的高光谱反演模型

doi:10.7522/j.issn.1000-694X.2013.00231

摘要/Abstract

摘要： 利用新疆奇台县荒漠-绿洲交错带的75个土壤样本，选取土壤可见光-近红外光谱的反射率（R）、光谱反射率倒数之对数（lg（1/R））、光谱反射率一阶导数（FDR）和光谱波段深度（Depth）4个指标，分析了其与土壤N、P、K元素含量的关系，分别建立了反演模型并对其精度进行了检验。结果表明：可见光-近红外反射光谱快速估算荒漠-绿洲交错带土壤N、P、K元素含量的潜力大，其预测精度由高到低的排列顺序为：N>P>K。不同光谱指标反演模型的精度各异，指标Depth和FDR的预测效果明显优于lg（1/R）和R，对N和P元素的拟合效果为：lg（1/R）<R<FDR<Depth，由Depth指标建立的反演模型最佳；而对K元素的反演精度则为：lg（1/R）<R<Depth<FDR，由FDR指标建立的反演模型精度最高。

关键词: 土壤光谱, 养分元素, 反演模型, 奇台县

Abstract: With 75 soil samples collected in Qitai County,Xinjiang, the spectral reflectance (R), logarithm of reciprocal spectral reflectance (lg(1/R)), first derivative spectral reflectance(FDR)and spectral band depth(Depth)were used to analyze the relationship between the visible-near infrared (VNIR) spectrum and the content of the nutrient elements N、P、K of the soil. Prediction models were established with tested precision levels. The results showed that: the VNIR had great potential to estimate rapidly three nutrient elements content of soil, and the order of prediction accuracy values for the nutrient elements was: N>P>K. The inversion model accuracy varied on different spectral indicators, and the predictive effect for Depth and FDR were obviously superior to lg (1/R) and R. The fitting effect of N and P elements was: lg(1/R)<R<FDR<Depth, and the inversion models established by the index of Depth were the best for N and P; while the inversion accuracy value for K element was: lg(1/R)<R<Depth<FDR, and the inversion model established by the index of FDR was optimal for K.

Key words: soil spectrum, nutrient elements, inversion model, Qitai County

中图分类号:

S151.9

栾福明, 熊黑钢, 王芳, 张芳. 荒漠-绿洲交错带土壤N、P、K含量的高光谱反演模型[J]. 中国沙漠, 2014, 34(5): 1320-1328.

Luan Fuming, Xiong Heigang, Wang Fang, Zhang Fang. Hyperspectral Reflectance Inversion Models on Content of N, P, K of Soil in Oasis-Desert Ecotone[J]. JOURNAL OF DESERT RESEARCH, 2014, 34(5): 1320-1328.

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