Modeling and Characteristics of Microwave Backscattering From Rice Canopy Over Growth Stages
文献类型：期刊论文
| 作者 | Liu, Yu1; Chen, Kun-Shan1; Xu, Peng1; Li, Zhao-Liang1 |
| 刊名 | IEEE Transactions on Geoscience and Remote Sensing
 |
| 出版日期 | 2016 |
| 卷号 | 54期号:11页码:6757-6770 |
| 关键词 | INDUCED CHLOROPHYLL FLUORESCENCE PHOTOCHEMICAL REFLECTANCE INDEX GROSS PRIMARY PRODUCTION VEGETATION FLUORESCENCE STRESS DETECTION A FLUORESCENCE INTACT LEAVES WATER-STRESS LEAF PHOTOSYNTHESIS |
| 英文摘要 | This paper presents an electromagnetic modeling of temporal variations of microwave backscatter from rice canopy based on radiative transfer theory to understand the complex microwave scattering mechanisms of rice crops at different growth stages. Model validation is made by a comparison with field measurements from four independent campaigns by ground-based scatterometers and spaceborne synthetic aperture radar (SAR). Then, the frequency responses and angular dependence are examined, followed by an analysis of parameter sensitivity and uncertainty to microwave backscatter. The validation shows promising results for the physically based model in assessing radar response of rice plant in its full-growth stage. It is found that radar scattering of rice canopy is highly dependent on the growing stages of rice plants, in addition to radar configurations, such as frequency, polarization, and incident angle. Moreover, backscattering of rice canopy is more dependent on stems than on leaves, and as rice plants grow, increasing stems and leaves tend to promote HH- and VH-polarized scattering, while first promoting and then reducing VV-polarized scattering. Moreover, the greatest uncertainty takes place at the late growth stage for copolarization and at the early stages for cross-polarization. The main contributions of this paper can be summarized as follows: 1) the establishment of a rice canopy microwave backscattering model using radiative transfer theory adapted to all the stages in the phenological cycle of rice; 2) the validation of the performance of the proposed model with numerous independent measurements from spaceborne SAR and ground-based scatterometers from different countries and regions; 3) the investigation of the interactions between microwave backscatter signatures and rice canopy growth variables over growth stages; and 4) the identification of the dominant influential parameters of the rice scattering model and determination model uncertainty. © 2016 IEEE. |
| 学科主题 | Geochemistry & Geophysics; Engineering; Remote Sensing; Imaging Science & Photographic Technology |
| 类目[WOS] | Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20163402722651 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39188]  |
| 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. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 2.100101, China 3. Key Laboratory of Agriinformatics, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 4.100101, China 5. Key Laboratory of Agri-informatics, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 6.100101, China |
| 推荐引用方式 GB/T 7714 | Liu, Yu,Chen, Kun-Shan,Xu, Peng,et al. Modeling and Characteristics of Microwave Backscattering From Rice Canopy Over Growth Stages[J]. IEEE Transactions on Geoscience and Remote Sensing,2016,54(11):6757-6770. |
| APA | Liu, Yu,Chen, Kun-Shan,Xu, Peng,&Li, Zhao-Liang.(2016).Modeling and Characteristics of Microwave Backscattering From Rice Canopy Over Growth Stages.IEEE Transactions on Geoscience and Remote Sensing,54(11),6757-6770. |
| MLA | Liu, Yu,et al."Modeling and Characteristics of Microwave Backscattering From Rice Canopy Over Growth Stages".IEEE Transactions on Geoscience and Remote Sensing 54.11(2016):6757-6770. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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