Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique
文献类型：期刊论文
| 作者 | Song, Peilin; Zhang, Yongqiang; Tian, Jing |
| 刊名 | GEOPHYSICAL RESEARCH LETTERS
 |
| 出版日期 | 2021-03-16 |
| 卷号 | 48期号:5页码:10 |
| 关键词 | Downscaling Large scale Microwave remote sensing Soil evaporative efficiency Surface soil moisture |
| ISSN号 | 0094-8276 |
| DOI | 10.1029/2020GL091459 |
| 通讯作者 | Zhang, Yongqiang(yongqiang.zhang2014@gmail.com) |
| 英文摘要 | Using optical remote sensing data to downscale microwave soil moisture is currently a crucial technique for producing fine-resolution soil moisture data set at large scales. Conventional soil moisture downscaling models are mainly developed and evaluated in arid or semi-arid regions, but have serious limitation in humid regions. To improve soil moisture estimates under a wide range of climate regimes, this study developed a nonlinear enhanced soil moisture downscaling model and evaluated it at a typical microwave resolution over the contiguous China. The enhanced model clearly outperforms the conventional approach in estimating surface soil moisture by reducing the Root Mean Square Error (RMSE) from 0.175 vol/vol to 0.075 vol/vol under wet climate. Finally, soil moisture downscaling is conducted by applying such models (built at the 25-km scale) at a finer (1-km) resolution. Validation result of downscaled soil moisture against in situ data set demonstrates the advantage of the enhanced model. |
| WOS关键词 | AMSR-E ; HIGH-RESOLUTION ; SMOS ; DISAGGREGATION ; REPRESENTATION ; DISPATCH |
| 资助项目 | Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0208] ; CAS Pioneer Talents Program ; National Natural Science Foundation of China[42001304] ; National Natural Science Foundation of China[41971032] ; National Natural Science Foundation of China[41671354] ; CAS-CSIRO International Cooperation Program |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000627892100011 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 资助机构 | Second Tibetan Plateau Scientific Expedition and Research Program ; CAS Pioneer Talents Program ; National Natural Science Foundation of China ; CAS-CSIRO International Cooperation Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/162008]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yongqiang |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Peilin,Zhang, Yongqiang,Tian, Jing. Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique[J]. GEOPHYSICAL RESEARCH LETTERS,2021,48(5):10. |
| APA | Song, Peilin,Zhang, Yongqiang,&Tian, Jing.(2021).Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique.GEOPHYSICAL RESEARCH LETTERS,48(5),10. |
| MLA | Song, Peilin,et al."Improving Surface Soil Moisture Estimates in Humid Regions by an Enhanced Remote Sensing Technique".GEOPHYSICAL RESEARCH LETTERS 48.5(2021):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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