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DOI10.3390/rs9020149
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People’s Republic of China
Parinussa, Robert M.1,2; Wang, Guojie1; Liu, Yi Y.1,3,4; Hagan, Daniel F. T.1; Lin, Fenfang1; van der Schalie, Robin2; de Jeu, Richard A. M.2
通讯作者Parinussa, Robert M.
来源期刊REMOTE SENSING
ISSN2072-4292
出版年2017
卷号9期号:2
英文摘要

In recent years, different space agencies have launched satellite missions that carry passive microwave instruments on-board that can measure surface soil moisture. Three currently operational missions are the Soil Moisture and Ocean Salinity (SMOS) mission developed by the European Space Agency (ESA), the Advanced Microwave Scanning Radiometer 2 (AMSR2) developed by the Japan Aerospace Exploration Agency (JAXA), and the Microwave Radiation Imager (MWRI) from China’s National Satellite Meteorological Centre (NSMC). In this study, the quality of surface soil moisture anomalies derived from these passive microwave instruments was sequentially assessed over the mainland of the People’s Republic of China. First, the impact of a recent update in the Land Parameter Retrieval Model (LPRM) was assessed for MWRI observations. Then, the soil moisture measurements retrieved from the X-band observations of MWRI were compared with those of AMSR2, followed by an internal comparison of the multiple frequencies of AMSR2. Finally, SMOS retrievals from two different algorithms were also included in the comparison. For each sequential step, processing and verification chains were specifically designed to isolate the impact of algorithm (version), observation frequency or instrument characteristics. Two verification techniques are used: the statistical Triple Collocation technique is used as the primary verification tool, while the precipitation-based Rvalue technique is used to confirm key results. Our results indicate a consistently better performance throughout the entire study area after the implementation of an update of the LPRM. We also find that passive microwave observations in the AMSR2 C-band frequency (6.9 GHz) have an advantage over the AMSR2 X-band frequency (10.7 GHz) over moderate to densely vegetated regions. This finding is in line with theoretical expectations as emitted soil radiation will become masked under a dense canopy with stricter thresholds for higher passive microwave frequencies. Both AMSR2 and MWRI make X-band observations; a direct comparison between them reveals a consistently higher quality obtained by AMSR2, specifically over semi-arid climate regimes. Unfortunately, Radio Frequency Interference hampers the usefulness of soil moisture products for the SMOS L-band mission, leading to a significantly reduced revisit time over the densely populated eastern part of the country. Nevertheless, our analysis demonstrates that soil moisture products from a number of multi-frequency microwave sensors are credible alternatives for this dedicated L-band mission over the mainland of the People’s Republic of China.


英文关键词soil moisture passive microwaves evaluation
类型Article
语种英语
国家Peoples R China ; Netherlands ; Australia
收录类别SCI-E
WOS记录号WOS:000397013700051
WOS关键词RADIOFREQUENCY INTERFERENCE ; MICROWAVE EMISSION ; RETRIEVAL ; SMOS ; IMPACT ; MODEL
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构南京信息工程大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/201921
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China;
2.VanderSat BV, Transmiss BV, Space Technol Business Pk,Huygenstr 34, NL-2201 DK Noordwijk, Netherlands;
3.Univ New South Wales, ARC Ctr Excellence Climate Syst Sci, Sydney, NSW 2052, Australia;
4.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW 2052, Australia
推荐引用方式
GB/T 7714
Parinussa, Robert M.,Wang, Guojie,Liu, Yi Y.,等. The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People’s Republic of China[J]. 南京信息工程大学,2017,9(2).
APA Parinussa, Robert M..,Wang, Guojie.,Liu, Yi Y..,Hagan, Daniel F. T..,Lin, Fenfang.,...&de Jeu, Richard A. M..(2017).The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People’s Republic of China.REMOTE SENSING,9(2).
MLA Parinussa, Robert M.,et al."The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People’s Republic of China".REMOTE SENSING 9.2(2017).
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