Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements
文献类型：期刊论文
| 作者 | Zhou, Xianfeng1; Huang, Wenjiang1; Kong, Weiping1; Ye, Huichun1; Luo, Juhua1; Chen, Pengfei1 |
| 刊名 | Advances in Space Research
 |
| 出版日期 | 2016 |
| 卷号 | 58期号:9页码:1627-1637 |
| 关键词 | DEFORMATION INSAR INTERFEROGRAMS SCATTERERS TERRAIN IMAGES |
| 通讯作者 | Huang, Wenjiang (huangwj@radi.ac.cn) |
| 英文摘要 | Timely and accurate assessment of canopy nitrogen content (CNC) provides valuable insight into rapid and real-time nitrogen status monitoring in crops. A semi-empirical approach based on spectral index was extensively used for nitrogen content estimation. However, in many cases, due to specific vegetation types or local conditions, the applicability and robustness of established spectral indices for nitrogen retrieval were limited. The objective of this study was to investigate the optimal spectral index for winter wheat (Triticum aestivum L.) CNC estimation using Pushbroom Hyperspectral Imager (PHI) airborne hyperspectral data. Data collected from two different field experiments that were conducted during the major growth stages of winter wheat in 2002 and 2003 were used. Our results showed that a significant linear relationship existed between nitrogen and chlorophyll content at the canopy level, and it was not affected by cultivars, growing conditions and nutritional status of winter wheat. Nevertheless, it varied with growth stages. Periods around heading stage mainly worsened the relationship and CNC estimation, and CNC assessment for growth stages before and after heading could improve CNC retrieval accuracy to some extent. CNC assessment with PHI airborne hyperspectra suggested that spectral indices based on red-edge band including narrowband and broadband CIred-edge, NDVI-like and ND705showed convincing results in CNC retrieval. NDVI-like and ND705were sensitive to detect CNC changes less than 5 g/m2, narrowband and broadband CIred-edgewere sensitive to a wide range of CNC variations. Further evaluation of CNC retrieval using field measured hyperspectra indicated that NDVI-like was robust and exhibited the highest accuracy in CNC assessment, and spectral indices (CIred-edgeand CIgreen) that established on narrow or broad bands showed no obvious difference in CNC assessment. Overall, our study suggested that NDVI-like was the optimal indicator for winter wheat CNC retrieval. © 2016 COSPAR |
| 学科主题 | Astronomy & Astrophysics; Geology; Meteorology & Atmospheric Sciences |
| 类目[WOS] | Astronomy & Astrophysics ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20163102663298 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39350]  |
| 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. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Science, Beijing 2.100094, China 3. University of Chinese Academy of Sciences, Beijing 4.100049, China 5. Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Science, Nanjing 6.210008, China 7. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Science and Natural Resources Research of Chinese Academy of Science, Beijing 8.100101, China |
| 推荐引用方式 GB/T 7714 | Zhou, Xianfeng,Huang, Wenjiang,Kong, Weiping,et al. Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements[J]. Advances in Space Research,2016,58(9):1627-1637. |
| APA | Zhou, Xianfeng,Huang, Wenjiang,Kong, Weiping,Ye, Huichun,Luo, Juhua,&Chen, Pengfei.(2016).Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements.Advances in Space Research,58(9),1627-1637. |
| MLA | Zhou, Xianfeng,et al."Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements".Advances in Space Research 58.9(2016):1627-1637. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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