KMS Institute Of Geographic Sciences And Natural Resources Research,CAS
| A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network | |
Jing, Wenlong1,2,3; Song, Jia4,5 ; Zhao, Xiaodan1,2,3
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| 2018-05-01 | |
| Source Publication | REMOTE SENSING
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| ISSN | 2072-4292 |
| Volume | 10Issue:5Pages:16 |
| Corresponding Author | Song, Jia(songj@igsnrr.ac.cn) |
| Abstract | Soil moisture is an essential variable in many hydrological and meteorological models. Spatially continuous soil moisture datasets are important for understanding water cycle and climate change. Currently, satellite-based microwave sensors have been the main resources for obtaining global soil moisture data. This paper evaluates the performance of different soil moisture products from the combined Essential Climate Variable (ECV) and Soil Moisture and Ocean Salinity (SMOS) satellite against the stations within the OzNet soil moisture networks over southeastern Australia. SMOS soil moisture products obtained from two versions (ascending and descending) were included. The evaluations were carried out at both network and site scales. According to the validation results, the ECV products outperformed the SMOS products at both scales. Comparing the two versions of the SMOS products, the SMOS ascending product generally performed better than the SMOS descending product and obtained comparable accuracy to the ECV product at Kyeamba and Yanco sites. However, the SMOS ascending performed poorly at the Adelong sites. Moreover, the ECV product has less data gaps than the SMOS products, because the ECV products were developed by combining passive and active microwave products. Consequently, the results in this study show that the combined ECV product is recommended, as both accuracy and integrity of the soil moisture product are important. The SMOS ascending product is recommended between the two overpass versions of SMOS products. |
| Keyword | soil moisture validation SMOS ECV |
| DOI | 10.3390/rs10050703 |
| WOS Keyword | GROUND-BASED MEASUREMENTS ; IN-SITU OBSERVATIONS ; DATA ASSIMILATION ; TIBETAN PLATEAU ; GLOBAL-SCALE ; SATELLITE ; RETRIEVALS ; VALIDATION ; MODEL |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | GDAS' Special Project of Science and Technology Development[2017GDASCX-0101] ; GDAS' Special Project of Science and Technology Development[2018GDASCX-0904] ; Guangdong Innovative and Entrepreneurial Research Team Program[2016ZT06D336] ; National Natural Science Foundation of China[41401430] ; National Special Program on Basic Works for Science and Technology of China[2013FY110900] ; State Key Laboratory of Resources and Environmental Information System[O88RA20CYA] ; 13th Five-year Informatization Plan of Chinese Academy of Sciences[XXH13505-07] ; National Earth System Science Data Sharing Infrastructure |
| Funding Organization | GDAS' Special Project of Science and Technology Development ; Guangdong Innovative and Entrepreneurial Research Team Program ; National Natural Science Foundation of China ; National Special Program on Basic Works for Science and Technology of China ; State Key Laboratory of Resources and Environmental Information System ; 13th Five-year Informatization Plan of Chinese Academy of Sciences ; National Earth System Science Data Sharing Infrastructure |
| WOS Research Area | Remote Sensing |
| WOS Subject | Remote Sensing |
| WOS ID | WOS:000435198400045 |
| Publisher | MDPI |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.igsnrr.ac.cn/handle/311030/54654 |
| Collection | 中国科学院地理科学与资源研究所 |
| Corresponding Author | Song, Jia |
| Affiliation | 1.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China 2.Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangzhou 510070, Guangdong, Peoples R China 3.Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Guangdong, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China |
| Recommended Citation GB/T 7714 | Jing, Wenlong,Song, Jia,Zhao, Xiaodan. A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network[J]. REMOTE SENSING,2018,10(5):16. |
| APA | Jing, Wenlong,Song, Jia,&Zhao, Xiaodan.(2018).A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network.REMOTE SENSING,10(5),16. |
| MLA | Jing, Wenlong,et al."A Comparison of ECV and SMOS Soil Moisture Products Based on OzNet Monitoring Network".REMOTE SENSING 10.5(2018):16. |
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