Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements
文献类型：期刊论文
| 作者 | Zhu, Luyao1; Wang, Hongquan1; Tong, Cheng1; Liu, Wenbin2; Du, Benxu3 |
| 刊名 | SENSORS
 |
| 出版日期 | 2019-06-02 |
| 卷号 | 19期号:12页码:19 |
| ISSN号 | 1424-8220 |
| 关键词 | ESA CCI soil moisture validation ground measurements upscaling spatiotemporal analysis |
| DOI | 10.3390/s19122718 |
| 通讯作者 | Wang, Hongquan(Hongquan_Wang@zju.edu.cn) |
| 英文摘要 | The European Space Agency (ESA) Climate Change Initiative (CCI) project combines multi-sensors at different microwave frequencies to derive three harmonized soil moisture products using active, passive and combined approaches. These long-term soil moisture products assist in understanding the global water and carbon cycles. However, extensive validations are a prerequisite before applying the retrieved soil moisture into climatic or hydrological models. To fulfill this objective, we assess the performances of three CCI soil moisture products (active, passive and combined) with respect to in-situ soil moisture networks located in China, Spain and Canada. In order to compensate the scale differences between ground stations and the CCI product's coarse resolution, we adopted two upscaling approaches of Inverse Distance Weighting (IDW) interpolation and simple Arithmetic Mean (AM). The temporal agreements between the satellite retrieved and ground-measured soil moisture were quantified using the unbiased root mean square error (ubRMSE), RMSE, correlation coefficients (R) and bias. Furthermore, the temporal variability of the CCI soil moisture is interpreted and verified with respect to the Tropical Rainfall Measuring Mission (TRMM) precipitation observations. The results show that the temporal variations of CCI soil moisture agreed with the in-situ ground measurements and the precipitation observations over the China and Spain test sites. In contrast, a significant overestimation was observed over the Canada test sites, which may be due to the strong heterogeneity in soil and vegetation characteristics in accordance with the reported poor performance of soil moisture retrieval there. However, despite a retrieval bias, the relatively temporal variation of the CCI soil moisture also followed the ground measurements. For all the three test sites, the soil moisture retrieved from the combined approach outperformed the active-only and passive-only methods, with ubRMSE of 0.034, 0.050, and 0.050-0.054 m(3)/m(3) over the test sites in China, Spain and Canada, respectively. Thus, the CCI combined soil moisture product is suggested to drive the climatic and hydrological studies. |
| WOS关键词 | AMSR-E ; VALIDATION ; SATELLITE ; NETWORK ; SENTINEL-1 ; RETRIEVAL |
| 资助项目 | National Natural Science Foundation of China[41801232] ; Fundamental Research Funds for the Central Universities[2018QNA6011] |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000473762500070 |
| 资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58611]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Hongquan |
| 作者单位 | 1.Zhejiang Univ, Coll Environm & Resource Sci, Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310058, Zhejiang, 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 3.Nat Resources Serv Ctr, Dalian 116021, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Luyao,Wang, Hongquan,Tong, Cheng,et al. Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements[J]. SENSORS,2019,19(12):19. |
| APA | Zhu, Luyao,Wang, Hongquan,Tong, Cheng,Liu, Wenbin,&Du, Benxu.(2019).Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements.SENSORS,19(12),19. |
| MLA | Zhu, Luyao,et al."Evaluation of ESA Active, Passive and Combined Soil Moisture Products Using Upscaled Ground Measurements".SENSORS 19.12(2019):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。