| 基于三波段模型的大豆叶绿素a含量估算模型 |
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| 作者姓名： | 邵田田 宋开山 杜嘉 |
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| 作者单位： | 1. 中国科学院东北地理与农业生态研究所, 长春 130102;
2. 中国科学院大学, 北京 100049 |
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| 基金项目： | 国家自然科学基金重点项目（41030743）资助 |
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| 摘 要： | 基于实测大豆冠层高光谱及叶绿素a数据，利用植被指数和三波段方法建立大豆叶绿素a的高光谱反演模型. 通过IDL（interactive data language）实现NDVI和RVI波段的重新选择，提高了基于2种植被指数的模型反演精度. 比较而言，三波段方法建模反演大豆叶绿素a含量的精度较改良后植被指数的更高（R2=0.81）. 研究结果表明，利用波段重新组合的植被指数建立的估算模型可以提高大豆叶绿素a的估算精度；三波段模型法可以筛选更好的波段来构建模型，并在一定程度上提高大豆叶绿素a反演精度.
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| 关 键 词： | 叶绿素a 三波段模型 植被指数 生化参数 |
| 收稿时间： | 2013-02-27 |
| 修稿时间： | 2013-05-17 |
Hyperspectral estimation of chlorophyll-a concentration in soybean based on three-band model |
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| Authors: | SHAO Tiantian SONG Kaishan DU Jia |
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| Institution: | 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | As a key material for plant photosynthesis, Chlorophyll is a proxy for vegetation health. Both vegetation indices and three-band model were used to estimate soybean Chl-a concentration with in situ reflectance for soybean canopy. Furthermore, modified vegetation indices are optimized through interactive data language (IDL) to improve soybean Chl-a estimation accuracy. The results show that three-band model is an effective approach for estimating soybean Chl-a. Compared to the models based on both the original and modified vegetation indices, the three-band model achieves better performance with higher coefficient of determination (R2=0.81). |
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| Keywords: | chlorophyll-a three-band model vegetation index biochemical parameter |
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