Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape
文献类型：期刊论文
| 作者 | Ran, Youhua1,2; Li, Xin1,2,3; Jin, Rui1,3; Kang, Jian1; Cosh, Michael H.4 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2017 |
| 卷号 | 53期号:1页码:283-301 |
| ISSN号 | 0043-1397 |
| 关键词 | wireless sensor network temporal stability remote sensing representativeness |
| DOI | 10.1002/2015WR018182 |
| 通讯作者 | Li, Xin(lixin@lzb.ac.cn) |
| 英文摘要 | Monitoring and estimating grid-mean soil moisture is very important for assessing many hydrological, biological, and biogeochemical processes and for validating remotely sensed surface soil moisture products. Temporal stability analysis (TSA) is a valuable tool for identifying a small number of representative sampling points to estimate the grid-mean soil moisture content. This analysis was evaluated and improved using high-quality surface soil moisture data that were acquired by a wireless sensor network in a high-intensity irrigated agricultural landscape in an arid region of northwestern China. The performance of the TSA was limited in areas where the representative error was dominated by random events, such as irrigation events. This shortcoming can be effectively mitigated by using a stratified TSA (STSA) method, proposed in this paper. In addition, the following methods were proposed for rapidly and efficiently identifying representative sampling points when using TSA. (1) Instantaneous measurements can be used to identify representative sampling points to some extent; however, the error resulting from this method is significant when validating remotely sensed soil moisture products. Thus, additional representative sampling points should be considered to reduce this error. (2) The calibration period can be determined from the time span of the full range of the grid-mean soil moisture content during the monitoring period. (3) The representative error is sensitive to the number of calibration sampling points, especially when only a few representative sampling points are used. Multiple sampling points are recommended to reduce data loss and improve the likelihood of representativeness at two scales. |
| 收录类别 | SCI |
| WOS关键词 | REMOTE-SENSING FOOTPRINTS ; WIRELESS SENSOR NETWORK ; HEIHE RIVER-BASIN ; SPATIAL VARIABILITY ; WATER CONTENT ; SPATIOTEMPORAL VARIABILITY ; TIME STABILITY ; LOESS-PLATEAU ; LAND-USE ; CHINA |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:000394911200017 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557606 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Li, Xin |
| 作者单位 | 1.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China 4.USDA ARS, Hydrol & Remote Lab, Beltsville, MD USA |
| 推荐引用方式 GB/T 7714 | Ran, Youhua,Li, Xin,Jin, Rui,et al. Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape[J]. WATER RESOURCES RESEARCH,2017,53(1):283-301. |
| APA | Ran, Youhua,Li, Xin,Jin, Rui,Kang, Jian,&Cosh, Michael H..(2017).Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape.WATER RESOURCES RESEARCH,53(1),283-301. |
| MLA | Ran, Youhua,et al."Strengths and weaknesses of temporal stability analysis for monitoring and estimating grid-mean soil moisture in a high-intensity irrigated agricultural landscape".WATER RESOURCES RESEARCH 53.1(2017):283-301. |
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来源：寒区旱区环境与工程研究所
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