Comparison of methods for estimating soybean leaf area index
文献类型：期刊论文
| 作者 | Yang Fei1,2; Zhang Bai1; Song Kai-shan1; Wang Zong-ming1; Liu Dian-wei1; Liu Huan-jun1,2; Li Fang1; Li Feng-xu1,2; Guo Zhi-xing1,2; Jin Hua-an1,2 |
| 刊名 | Spectroscopy and spectral analysis
 |
| 出版日期 | 2008-12-01 |
| 卷号 | 28期号:12页码:2951-2955 |
| 关键词 | Soybean Lai Ndvi Rvi Pca Nn |
| ISSN号 | 1000-0593 |
| DOI | 10.3964/j.issn.1000-0593(2008)12-2951-05 |
| 通讯作者 | Zhang bai(zhangbai@neigae.ac.cn) |
| 英文摘要 | Leaf area index (lad is an important biophysical parameter, and is the critical variable in many ecology models, productivity models and carbon circulation study. based on the field experiment data, an evaluation of soybean lai retrieval methods was conducted using ndvi (normalized difference vegetation index) and rvi (ratio vegetation index), principle component analysis (pca) and neural network (nn) methods, and the estimate effects of three methods were compared. the results showed that the three methods have an ideal effect on the lai estimation. r-2 of validated model of vegetation indices, pca, nn were 0.753 (ndvi), 0.758 (rvi), 0.883, 0.899. pca and nn methods were better with higher precision, and pca method was the best, as its rmse (0.202) was slower than the two vegetation indices (rmses of ndvi and rvi were 0.594 and 0.616) and nn (rmse was 0.413) method. while the lai was small, vegetation indices were obvious for removing the noise from soil and atmospheric effect and obtained the good evaluation result. pca showed better effect for all lai. lai affected the estimating result of nn method moderately. as for the nn method, modeled lai value and measured lai regression formula slope was the nearest to 1 with r-2 of 0.949, which showed a great potential for lai estimating. as a whole, pca and nn methods were the prior selection for lai estimation, which should be attributed to the application of hyperspectral information of many bands. |
| WOS关键词 | VEGETATION INDEXES ; NEURAL-NETWORK ; VALIDATION ; PRINCIPLES ; CANOPIES ; MODELS ; WATER ; LAI |
| WOS研究方向 | Spectroscopy |
| WOS类目 | Spectroscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:000263387900050 |
| 出版者 | OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2390842 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Zhang Bai |
| 作者单位 | 1.Chinese Acad Sci, NE Inst Geog & Agroecol, Changchun 130012, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang Fei,Zhang Bai,Song Kai-shan,et al. Comparison of methods for estimating soybean leaf area index[J]. Spectroscopy and spectral analysis,2008,28(12):2951-2955. |
| APA | Yang Fei.,Zhang Bai.,Song Kai-shan.,Wang Zong-ming.,Liu Dian-wei.,...&Jin Hua-an.(2008).Comparison of methods for estimating soybean leaf area index.Spectroscopy and spectral analysis,28(12),2951-2955. |
| MLA | Yang Fei,et al."Comparison of methods for estimating soybean leaf area index".Spectroscopy and spectral analysis 28.12(2008):2951-2955. |
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来源：中国科学院大学
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