| 荒漠-绿洲交错带土壤N、P、K含量的高光谱反演模型 |
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| 引用本文： | 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. |
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| 作者姓名： | 栾福明 熊黑钢 王芳 张芳 |
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| 作者单位： | 1. 中国科学院新疆生态与地理研究所, 新疆 乌鲁木齐 830011;2. 中国科学院大学, 北京 100049;3. 北京联合大学应用文理学院, 北京 100083;4. 新疆大学 资源与环境科学学院, 新疆 乌鲁木齐 830046 |
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| 基金项目： | 国家自然科学基金项目(41171165,41261049)资助 |
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| 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）
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| 关 键 词： | 土壤光谱 养分元素 反演模型 奇台县 |
| 收稿时间： | 2013-03-03; |
| 修稿时间： | 2013-08-12 |
Hyperspectral Reflectance Inversion Models on Content of N,P, K of Soil in Oasis-Desert Ecotone |
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| 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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| Authors: | Luan Fuming Xiong Heigang Wang Fang Zhang Fang |
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| Institution: | 1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. College of Art and Science, Beijing Union University, Beijing 100083, China;4. College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China |
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| 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)
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| Keywords: | soil spectrum nutrient elements inversion model Qitai County |
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