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
刊名REMOTE SENSING
2018-05-01
卷号10期号:5页码:16
关键词soil moisture validation SMOS ECV
ISSN号2072-4292
DOI10.3390/rs10050703
通讯作者Song, Jia(songj@igsnrr.ac.cn)
英文摘要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.
资助项目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
WOS关键词GROUND-BASED MEASUREMENTS ; IN-SITU OBSERVATIONS ; DATA ASSIMILATION ; TIBETAN PLATEAU ; GLOBAL-SCALE ; SATELLITE ; RETRIEVALS ; VALIDATION ; MODEL
WOS研究方向Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000435198400045
资助机构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
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/54653]  
专题中国科学院地理科学与资源研究所
通讯作者Song, Jia
作者单位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
推荐引用方式
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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