Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field
文献类型：期刊论文
| 作者 | Wu, Xiaojing |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-12-01 |
| 卷号 | 14期号:23页码:17 |
| 关键词 | SM retrieval Sentinel-1 AIEM effective roughness change detection |
| DOI | 10.3390/rs14236020 |
| 通讯作者 | Wu, Xiaojing(wuxj@igsnrr.ac.cn) |
| 英文摘要 | The variability of surface roughness may lead to relatively large dynamic of backscatter coefficient observed by the synthetic aperture radar (SAR), which complicates the soil moisture (SM) retrieval process based on active remote sensing. The effective roughness parameters are commonly used for parameterizing the soil scattering models, the values of which are often assumed to be constant during different study periods for the same site. This paper investigates the reasonableness of this hypothesis from the perspective of backscatter coefficient simulation and SM retrieval using high resolution SAR data. Three years of Sentinel-1A data from 2016 to 2018 were collected over a sparsely vegetated field within the REMEDHUS SM monitoring network. The advanced integral equation model (AIEM) and Dobson dielectric mixing model were combined for optimizing the effective roughness parameters, as well as simulating the backscatter coefficient and retrieving the SM. The effective roughness parameters were optimized at different temporal periods, such as 2016, 2017, 2018, 2016 + 2017, 2017 + 2018, and 2016 + 2017 + 2018, to analyze their temporal dynamics. It was found that: (1) the effective roughness parameters optimized at different temporal periods are very close to each other; (2) the simulated backscatter from AIEM is consistent with Sentinel-1A observation with root mean square errors (RMSEs) between 1.133 and 1.163 dB and correlation coefficient (R) value equals to 0.616; (3) the seasonal dynamics ofin situ SM is well-captured by the retrieved SM with R values floating at 0.685 and RMSEs ranging from 0.049 to 0.052 m(3)/m(3); and (4) inverse of the AIEM with the implementation of effective roughness parameters achieves better performance for SM retrieval than the change detection method. These findings demonstrate that the assumption on the constant effective roughness parameters during the study period of at least three years is reasonable. |
| WOS关键词 | BAND MICROWAVE EMISSION ; INTEGRAL-EQUATION MODEL ; SURFACE-ROUGHNESS ; EMPIRICAL-MODEL ; SAR DATA ; C-BAND ; RADAR ; SCATTERING ; CALIBRATION ; IMPACT |
| 资助项目 | National Natural Science Foundation of China ; [42030509] ; [41901317] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000896330300001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/188113]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu, Xiaojing |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xiaojing. Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field[J]. REMOTE SENSING,2022,14(23):17. |
| APA | Wu, Xiaojing.(2022).Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field.REMOTE SENSING,14(23),17. |
| MLA | Wu, Xiaojing."Assessment of Effective Roughness Parameters for Simulating Sentinel-1A Observation and Retrieving Soil Moisture over Sparsely Vegetated Field".REMOTE SENSING 14.23(2022):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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