| 基于叶面尘的银杏叶片光谱变化特征研究 |
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| 引用本文： | 吴春燕, 王雪峰. 基于叶面尘的银杏叶片光谱变化特征研究[J]. 西南林业大学学报, 2016, 36(1): 91-99.doi:10.11929/j.issn.2095-1914.2016.01.016 |
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| 作者姓名： | 吴春燕 王雪峰 |
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| 作者单位： | 中国林业科学研究院资源信息研究所，北京 100091 |
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| 基金项目： | 中央公益性科研院所基本科研业务费专项（CAFYBB2014MA006）资助；国家重大专项项目（21 Y30B05 9001 13/15）资助。
摘要:沿北京市主道路网二、三、四、五环路均匀设置12个采样点，采集银杏叶片样本120片，研究其反射光谱与叶面尘土量的关系。利用光谱仪和电子分析天平获取除尘前后叶片反射光谱及叶面尘土量，分析数据并寻求银杏叶片光谱变化特征波段，筛选出与叶面尘土量相关性高的光谱反射率，利用传统回归和偏最小二乘（PLS）回归方法分别建立模型。结果表明：除尘前后叶片光谱曲线在300~710nm范围内，叶面尘土量与叶片反射光谱特征呈负相关关系；在710~850nm范围内，有尘叶片光谱率＞无尘叶片；在叶面尘土量与叶片光谱各波段组合关系研究中，红边面积和归一化指数与叶面尘土量具有相对较好的相关性，基于可见光波段与部分近红外波段的银杏叶片叶面尘土量预测结果较准；在叶片表面尘土量反演研究中，用偏最小二乘算法可在一定程度上提高叶面尘土量反演精度，在3种回归模型中偏最小二乘法反演效果相对较好。 |
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| 摘 要： | 沿北京市主道路网二、三、四、五环路均匀设置12个采样点，采集银杏叶片样本120片，研究其反射光谱与叶面尘土量的关系。利用光谱仪和电子分析天平获取除尘前后叶片反射光谱及叶面尘土量，分析数据并寻求银杏叶片光谱变化特征波段，筛选出与叶面尘土量相关性高的光谱反射率，利用传统回归和偏最小二乘（PLS）回归方法分别建立模型。结果表明：除尘前后叶片光谱曲线在300~710nm范围内，叶面尘土量与叶片反射光谱特征呈负相关关系；在710~850nm范围内，有尘叶片光谱率＞无尘叶片；在叶面尘土量与叶片光谱各波段组合关系研究中，红边面积和归一化指数与叶面尘土量具有相对较好的相关性，基于可见光波段与部分近红外波段的银杏叶片叶面尘土量预测结果较准；在叶片表面尘土量反演研究中，用偏最小二乘算法可在一定程度上提高叶面尘土量反演精度，在3种回归模型中偏最小二乘法反演效果相对较好。
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| 关 键 词： | 银杏 叶面尘 光谱 回归分析 偏最小二乘法 |
| 收稿时间： | 2015-03-29 |
Study on Spectral Features of Ginkgo Biloba Leaves Based on Foliar Dust Content. |
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| Wu Chunyan，Wang Xuefeng and Study on Spectral Features of Ginkgo Biloba Leaves Based on Foliar Dust Content.[J]. Journal of Southwest Forestry University, 2016, 36(1): 91-99.doi:10.11929/j.issn.2095-1914.2016.01.016 |
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| Authors: | Wu Chunyan，Wang Xuefeng |
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| Affiliation: | Research Institute of Forest Resources Information Techniques, Chinese Academy of Forestry，Beijing 100091，China |
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| Abstract: | In this study, we collected 120 samples of Ginkgo biloba leaves along the main road network: two, three, four, fifth Ring Road in Beijing to study the relationship between the spectral reflectance and foliar dust. Through electronic balance and analytical spectral devices field spec pro (ASD) analysis, information of dust content and reflectance spectroscopy of the dust leaves and the clean leaves was obtained. For the sake of seeking variation characteristics of spectral region of Ginkgo biloba leaves, spectral reflectance data was analyzed. The spectral reflectance, which had a high correlation with foliar dust content, was screened out. After that, in order to explore the relationship between foliar dust content and spectral reflectance, using traditional regression method and partial least squares (PLS) regression method established the model respectively, the effects of different foliar dust content on plant spectral characteristics were elaborated. The experiment showed that there was a negative correlation between foliar dust content and leaf spectral reflectance characteristics on the leaf spectrum curves of the clean and dust leaves, in the range of 300-710 nm; the spectral reflectance of dust was greater than the clean leaf in the range of 710-850 nm. In the study of the combination relationship between foliar dust content and leaf spectral bands, we could find out that there was a relatively good relevance between the area of red edge and foliar dust content, and the same as normalized difference index. The result of prediction of foliar dust content of Ginkgo biloba leaves was accurate based on visible and near infrared wavelengths. In the research of inversion of leaf surface dust content, following the traditional linear regression model and principal component regression model, the precision of inversion of foliar dust content could be improved by partial least squares (PLS) in a certain extent. Therefore, we concluded that the effect of partial least squares inversion was the best among the 3 kinds of regression model. |
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| Keywords: | Ginkgo biloba foliar dust spectrum regression analysis partial least square method |
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