Estimating Winter Wheat Nitrogen Vertical Distribution Based on Bidirectional Canopy Reflected Spectrum
文献类型：期刊论文
| 作者 | Yang Shao-yuan1; Huang Wen-jiang1; Liang Dong1; Huang Lin-sheng1; Yang Gui-jun1; Zhang Dong-yan1; Cai Shu-hong1 |
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2015 |
| 卷号 | 35期号:7页码:360-367 |
| 关键词 | Winter wheat Nitrogen density Canopy reflected spectrum Bidirectional reflectance Vertical distribution Partial least-square (PLS) |
| 通讯作者 | Huang, WJ (reprint author), Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China. |
| 英文摘要 | The vertical distribution of crop nitrogen is increased with plant height, timely and non-damaging measurement of crop nitrogen vertical distribution is critical for the crop production and quality, improving fertilizer utilization and reducing environmental impact. The objective of this study was to discuss the method of estimating winter wheat nitrogen vertical distribution by exploring bidirectional reflectance distribution function (BRDF) data using partial least square (PLS) algorithm. The canopy reflectance at nadir, +/- 50 degrees and +/- 60 degrees; at nadir, +/- 30 degrees and +/- 40 degrees; and at nadir, +/- 20 degrees and +/- 30 degrees were selected to estimate foliage nitrogen density (FND) at upper layer, middle layer and bottom layer, respectively. Three PLS analysis models with FND as the dependent variable and vegetation indices at corresponding angles as the explicative variables were established. The impact of soil reflectance and the canopy non-photosynthetic materials was minimized by seven kinds of modifying vegetation indices with the ratio R-700/R-670. The estimated accuracy is significant raised at upper layer, middle layer and bottom layer in modeling experiment. Independent model verification selected the best three vegetation indices for further research. The research result showed that the modified Green normalized difference vegetation index (GNDVI) shows better performance than other vegetation indices at each layer, which means modified GNDVI could be used in estimating winter wheat nitrogen vertical distribution |
| 研究领域[WOS] | Spectroscopy |
| 收录类别 | SCI ; EI |
| 语种 | 中文 |
| WOS记录号 | WOS:000357761200039 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38161]  |
| 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.[Yang Shao-yuan 2.Huang Wen-jiang] Chinese Acad Sci, Key Lab Digital Earth Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China 3.[Yang Shao-yuan 4.Liang Dong 5.Huang Lin-sheng 6.Zhang Dong-yan] Anhui Univ, Minist Educ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China 7.[Yang Shao-yuan 8.Liang Dong 9.Huang Lin-sheng 10.Zhang Dong-yan] Anhui Univ, Sch Elect & Informat Engn, Hefei 230039, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang Shao-yuan,Huang Wen-jiang,Liang Dong,et al. Estimating Winter Wheat Nitrogen Vertical Distribution Based on Bidirectional Canopy Reflected Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(7):360-367. |
| APA | Yang Shao-yuan.,Huang Wen-jiang.,Liang Dong.,Huang Lin-sheng.,Yang Gui-jun.,...&Cai Shu-hong.(2015).Estimating Winter Wheat Nitrogen Vertical Distribution Based on Bidirectional Canopy Reflected Spectrum.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(7),360-367. |
| MLA | Yang Shao-yuan,et al."Estimating Winter Wheat Nitrogen Vertical Distribution Based on Bidirectional Canopy Reflected Spectrum".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.7(2015):360-367. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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