Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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
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ISSN | 2072-4292 |
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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