First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau
文献类型：期刊论文
| 作者 | Bai, Xiaojing1; He, Binbin2,3; Li, Xing2; Zeng, Jiangyuan4; Wang, Xin5; Wang, Zuoliang5; Zeng, Yijian6; Su, Zhongbo6 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2017-07-01 |
| 卷号 | 9期号:7页码:20 |
| 关键词 | Sentinel-1A soil moisture MODIS LAI WCM AIEM Tibetan Plateau |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs9070714 |
| 通讯作者 | He, Binbin(binbinhe@uestc.edu.cn) |
| 英文摘要 | The spatiotemporal distribution of soil moisture over the Tibetan Plateau is important for understanding the regional water cycle and climate change. In this paper, the surface soil moisture in the northeastern Tibetan Plateau is estimated from time-series VV-polarized Sentinel-1A observations by coupling the water cloud model (WCM) and the advanced integral equation model (AIEM). The vegetation indicator in the WCM is represented by the leaf area index (LAI), which is smoothed and interpolated from Terra Moderate Resolution Imaging Spectroradiometer (MODIS) LAI eight-day products. The AIEM requires accurate roughness parameters, which are parameterized by the effective roughness parameters. The first halves of the Sentinel-1A observations from October 2014 to May 2016 are adopted for the model calibration. The calibration results show that the backscattering coefficient (sigma degrees) simulated from the coupled model are consistent with those of the Sentinel-1A with integrated Pearson's correlation coefficients R of 0.80 and 0.92 for the ascending and descending data, respectively. The variability of soil moisture is correctly modeled by the coupled model. Based on the calibrated model, the soil moisture is retrieved using a look-up table method. The results show that the trends of the in situ soil moisture are effectively captured by the retrieved soil moisture with an integrated R of 0.60 and 0.82 for the ascending and descending data, respectively. The integrated bias, mean absolute error, and root mean square error are 0.006, 0.048, and 0.073 m(3)/m(3) for the ascending data, and are 0.012, 0.026, and 0.055 m(3)/m(3) for the descending data, respectively. Discussions of the effective roughness parameters and uncertainties in the LAI demonstrate the importance of accurate parameterizations of the surface roughness parameters and vegetation for the soil moisture retrieval. These results demonstrate the capability and reliability of Sentinel-1A data for estimating the soil moisture over the Tibetan Plateau. It is expected that our results can contribute to developing operational methods for soil moisture retrieval using the Sentinel-1A and Sentinel-1B satellites. |
| 收录类别 | SCI |
| WOS关键词 | SYNTHETIC-APERTURE RADAR ; L-BAND SAR ; SATELLITE DATA ; ROUGHNESS PARAMETERIZATION ; SEMIEMPIRICAL CALIBRATION ; RADIOMETER OBSERVATIONS ; SCATTERING MODEL ; RETRIEVAL ; SIMULATIONS ; PRODUCTS |
| WOS研究方向 | Remote Sensing |
| WOS类目 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000406676800077 |
| 出版者 | MDPI AG |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557660 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | He, Binbin |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Coll Hydrometeorol, Nanjing 210044, Jiangsu, Peoples R China 2.Univ Elect Sci & Technol China, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China 3.Univ Elect Sci & Technol China, Ctr Informat Geosci, Chengdu 611731, Sichuan, Peoples R China 4.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Key Lab Land Surface Proc & Climate Change Cold &, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China 6.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7500 AE Enschede, Netherlands |
| 推荐引用方式 GB/T 7714 | Bai, Xiaojing,He, Binbin,Li, Xing,et al. First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau[J]. REMOTE SENSING,2017,9(7):20. |
| APA | Bai, Xiaojing.,He, Binbin.,Li, Xing.,Zeng, Jiangyuan.,Wang, Xin.,...&Su, Zhongbo.(2017).First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau.REMOTE SENSING,9(7),20. |
| MLA | Bai, Xiaojing,et al."First Assessment of Sentinel-1A Data for Surface Soil Moisture Estimations Using a Coupled Water Cloud Model and Advanced Integral Equation Model over the Tibetan Plateau".REMOTE SENSING 9.7(2017):20. |
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来源：寒区旱区环境与工程研究所
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