Evaluation of Satellite-Derived Soil Moisture in Qinghai Province Based on Triple Collocation
文献类型：期刊论文
| 作者 | Zhu, Hongchun1; Zhang, Zhilin1; Lv, Aifeng2 |
| 刊名 | WATER
 |
| 出版日期 | 2020-05-01 |
| 卷号 | 12期号:5页码:18 |
| 关键词 | soil moisture EVI triple collocation Qinghai region |
| DOI | 10.3390/w12051292 |
| 通讯作者 | Lv, Aifeng(lvaf@igsnrr.ac.cn) |
| 英文摘要 | Evaluating the reliability of satellite-based and reanalysis soil moisture products is very important in soil moisture research. The traditional methods of evaluating soil moisture products rely on the verification of satellite inversion data and ground observation; however, the ground measurement data is often difficult to obtain. The triple collocation (TC) method can be used to evaluate the accuracy of a product without obtaining the ground measurement data. This study focused on the whole of Qinghai Province, China (31 degrees -40 degrees N, 89 degrees -103 degrees E), and used the TC method to obtain the error variance for satellite-based soil moisture data, the signal-to-noise ratio (SNR) of the same data, and the correlation between the same data and the ground-truth soil moisture, using passive satellite products: Soil Moisture Active Passive (SMAP), Soil Moisture Ocean Salinity (SMOS), Fengyun-3B Microwave Radiation Imager (FY3B), Fengyun-3C Microwave Radiation Imager (FY3C), and Advanced Microwave Scanning Radiometer 2 (AMSR2); an active satellite product Advanced Scatterometer (ASCAT), and reanalysis data Goddard Earth Observing System Model version 5 (GEOS-5) land modeling system. The TC results for the passive satellite data were then compared with the satellite-derived enhanced vegetation index (EVI) to explore the influence of vegetation coverage on the results. The following conclusions are drawn: (1) for the SMAP, SMOS, FY3B, FY3C, and AMSR2 satellite data, the spatial distributions of the TC-derived error variance, the SNR of the satellite-derived soil moisture, and the correlation coefficient between the satellite-derived and ground-truth soil moisture, were all relatively similar, which indirectly verified the reliability of the TC method; and (2) SMOS data have poor applicability for the estimation of soil moisture in Qinghai Province due to their insufficient detection capability in the Qaidam area, high error variance (median 0.0053), high SNR (median 0.43), and low correlation coefficient with ground-truth soil moisture (median 0.57). |
| 资助项目 | National Natural Science Foundation of China[41671026] ; Important Science & Technology Specific Projects of Qinghai Province[2019-SF-A4-1] ; National Natural Science Foundation of Qinghai Province[2019-ZJ-7020] |
| WOS研究方向 | Water Resources |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000555915200071 |
| 资助机构 | National Natural Science Foundation of China ; Important Science & Technology Specific Projects of Qinghai Province ; National Natural Science Foundation of Qinghai Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/158168]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lv, Aifeng |
| 作者单位 | 1.Shandong Univ Sci & Technol, Sch Surveying & Mapping Sci & Engn, Qingdao 266000, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Hongchun,Zhang, Zhilin,Lv, Aifeng. Evaluation of Satellite-Derived Soil Moisture in Qinghai Province Based on Triple Collocation[J]. WATER,2020,12(5):18. |
| APA | Zhu, Hongchun,Zhang, Zhilin,&Lv, Aifeng.(2020).Evaluation of Satellite-Derived Soil Moisture in Qinghai Province Based on Triple Collocation.WATER,12(5),18. |
| MLA | Zhu, Hongchun,et al."Evaluation of Satellite-Derived Soil Moisture in Qinghai Province Based on Triple Collocation".WATER 12.5(2020):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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