Research on spectral scale effect in the estimation of vegetation leaf chlorophyll content
文献类型：期刊论文
| 作者 | Jiang, Hai-Ling1; Zhang, Li-Fu1; Yang, Hang1; Chen, Xiao-Ping1; Tong, Qing-Xi1 |
| 刊名 | Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis
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| 出版日期 | 2016 |
| 卷号 | 36期号:1页码:169-176 |
| 关键词 | TOTAL OZONE |
| 通讯作者 | Zhang, Li-Fu (zhanglf@radi.ac.cn) |
| 英文摘要 | Spectral indices (SIs) method has been widely applied in the prediction of vegetation biochemical parameters. Take the diversity of spectral response of different sensors into consideration, this study aimed at researching spectral scale effect of SIs for estimating vegetation chlorophyll content (VCC). The 5 nm leaf reflectance data under 16 levels of chlorophyll content was got by the radiation transfer model PROSPECT and then simulated to multiple bandwidths spectrum (10~35 nm), using Gaussian spectral response function. Firstly, the correlation between SIs and VCC was studied. And then the sensitivity of SIs to VCC and bandwidth were analyzed and compared. Lastly, 112 samples were selected to verify the results above mentioned. The results show that Vegetation Index Based on Universal Pattern Decomposition Method (VIUPD) is the best spectral index due to its high sensitivity to VCC but low sensitivity to bandwidth, and can be successfully used to estimate VCC with coefficient of determination R2of 0.99 and RMSE of 3.52 μg·cm-2. Followed by VIUPD, Normalized Difference Vegetation Index (NDVI) and Simple Ratio Index (SRI) presented a comparatively good performance for VCC estimation (R2>0.89) with their prediction value of chlorophyll content was lower than the true value. The worse accuracy of other indices were also tested. Results demonstrate that spectral scale effect must be well-considered when estimating chlorophyll content, using SIs method. VIUPD introduced in the present study has the best performance, which reaffirms its special feature of comparatively sensor-independent and illustrates its potential ability in the area of estimating vegetation biochemical parameters based on multiple satellite data. © 2016, Science Press. All right reserved. |
| 学科主题 | Spectroscopy |
| 类目[WOS] | Spectroscopy |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:20160101768453 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39480]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Institute of Remote Sensing and GIS, Peking University, Beijing, China 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China 3. Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China |
| 推荐引用方式 GB/T 7714 | Jiang, Hai-Ling,Zhang, Li-Fu,Yang, Hang,et al. Research on spectral scale effect in the estimation of vegetation leaf chlorophyll content[J]. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,2016,36(1):169-176. |
| APA | Jiang, Hai-Ling,Zhang, Li-Fu,Yang, Hang,Chen, Xiao-Ping,&Tong, Qing-Xi.(2016).Research on spectral scale effect in the estimation of vegetation leaf chlorophyll content.Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis,36(1),169-176. |
| MLA | Jiang, Hai-Ling,et al."Research on spectral scale effect in the estimation of vegetation leaf chlorophyll content".Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis 36.1(2016):169-176. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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