Evaluation of temporal variations in soil moisture based on the microwave polarization difference index using in situ data over agricultural areas in China
文献类型：SCI/SSCI论文
| 作者 | Han X. J.; Duan, S. B.; Tang, R. L.; Liu, H. Q.; Li, Z. L. |
| 发表日期 | 2015 |
| 关键词 | land-surface temperature satellite data modis data amsr-e vegetation retrieval model cycle evolution |
| 英文摘要 | Soil moisture plays a critical role in the energy exchange and water redistribution of the land-atmosphere system. Knowledge of the temporal variations in soil moisture is vital in agricultural applications. Microwave indices are often used to characterize the temporal variations in soil moisture. In this study, we evaluate the temporal variations in soil moisture based on the microwave polarization difference index (MPDI) using ground-based measurements in China. In situ soil moisture at six test sites during the crop-growing season from 2009 to 2011 is obtained. The consistency of the temporal variations between the MPDI values and the in situ soil moisture is analysed in terms of (1) microwave frequencies, (2) satellite overpass times, and (3) measurement depths of soil moisture. The results show that the accuracies of the consistency vary from approximately 40% to 90%. Compared with the in situ soil moisture at 0-10cm, the temporal variations in soil moisture are best characterized by the 6.9GHz MPDI values from the ascending overpasses (MPDI_06A). Furthermore, the accuracies of the consistency between MPDI_06A and the in situ soil moisture at 0-10cm are greater than those between MPDI_06A and the in situ soil moisture at 10-20cm. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 36 |
| 期 | 19-20 |
| 页 | 5003-5014 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/38440]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Han X. J.,Duan, S. B.,Tang, R. L.,et al. Evaluation of temporal variations in soil moisture based on the microwave polarization difference index using in situ data over agricultural areas in China. 2015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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