Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval
文献类型：期刊论文
| 作者 | Zhao Tianjie1; Shi Jiancheng1; Rajat, Bindlish1; Thomas, Jackson1; Michael, Cosh1; Jiang Lingmei1; Zhang Zhongjun1; Lan Huimin1 |
| 刊名 | PHYSICS AND CHEMISTRY OF THE EARTH
 |
| 出版日期 | 2015 |
| 卷号 | 83-84页码:3097-3113 |
| 关键词 | Soil moisture L-band Roughness parameterization Exponential correlation SMOS SMAP |
| 通讯作者 | Zhao, TJ (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China. |
| 英文摘要 | Surface soil moisture is an important parameter in hydrology and climate investigations. Current and future satellite missions with L-band passive microwave radiometers can provide valuable information for monitoring the global soil moisture. A factor that can play a significant role in the modeling and inversion of microwave emission from land surfaces is the surface roughness. In this study, an L-band parametric emission model for exponentially correlated surfaces was developed and implemented in a soil moisture retrieval algorithm. The approach was based on the parameterization of an effective roughness parameter of Hp in relation with the geometric roughness variables (root mean square height s and correlation length l) and incidence angle. The parameterization was developed based on a large set of simulations using an analytical approach incorporated in the advanced integral equation model (AIEM) over a wide range of geophysical properties. It was found that the effective roughness parameter decreases as surface roughness increases, but increases as incidence angle increases. In contrast to previous research, Hp was found to be expressed as a function of a defined slope parameter m = s(2)/l, and coefficients of the function could be well described by a quadratic equation. The parametric model was then tested with L-band satellite data in soil moisture retrieval algorithm over the Little Washita watershed, which resulted in an unbiased root mean square error of about 0.03 m(3)/m(3) and 0.04 m(3)/m(3) for ascending and descending orbits, respectively. (C) 2015 Elsevier Ltd. All rights reserved. |
| 研究领域[WOS] | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000370447200007 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38299]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Zhao Tianjie 2.Shi Jiancheng] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 3.[Zhao Tianjie 4.Shi Jiancheng] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China 5.[Rajat, Bindlish 6.Thomas, Jackson 7.Michael, Cosh] ARS, Hydrol & Remote Sensing Lab, USDA, Beltsville, MD 20705 USA 8.[Jiang Lingmei] Beijing Normal Univ, Sch Geog, Beijing 100875, Peoples R China 9.[Zhang Zhongjun 10.Lan Huimin] Beijing Normal Univ, Sch Informat Sci & Technol, Beijing 100875, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao Tianjie,Shi Jiancheng,Rajat, Bindlish,et al. Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2015,83-84:3097-3113. |
| APA | Zhao Tianjie.,Shi Jiancheng.,Rajat, Bindlish.,Thomas, Jackson.,Michael, Cosh.,...&Lan Huimin.(2015).Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval.PHYSICS AND CHEMISTRY OF THE EARTH,83-84,3097-3113. |
| MLA | Zhao Tianjie,et al."Parametric exponentially correlated surface emission model for L-band passive microwave soil moisture retrieval".PHYSICS AND CHEMISTRY OF THE EARTH 83-84(2015):3097-3113. |
入库方式： OAI收割
来源：遥感与数字地球研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。