A method for surface roughness parameter estimation in passive microwave remote sensing
文献类型：期刊论文
| 作者 | Zheng Xingming1,2; Zhao Kai1 |
| 刊名 | Chinese geographical science
 |
| 出版日期 | 2010-08-01 |
| 卷号 | 20期号:4页码:345-352 |
| 关键词 | Surface roughness Passive microwave remote sensing Statistical parameter estimation Soil moisture Radiometer |
| ISSN号 | 1002-0063 |
| DOI | 10.1007/s11769-010-0407-3 |
| 通讯作者 | Zhao kai(zhaokai@neigae.ac.cn) |
| 英文摘要 | Surface roughness parameter is an important factor and obstacle for retrieving soil moisture in passive microwave remote sensing. two statistical parameters, root mean square (rms) height (s) and correlation length (i), are designed for describing the roughness of a randomly rough surface. the roughness parameter measured by traditional way is independence of frequency, soil moisture and soil heterogeneity and just the "geometric" roughness of random surface. this "geometric" roughness can not fully explain the scattered thermal radiation by the earth's surface. the relationship between "geometric" roughness and integrated roughness (contain both "geometric" roughness and "dielectric" roughness) is linked by empirical coefficient. in view of this problem, this paper presents a method for estimating integrated surface roughness from radiometer sampling data at different frequencies, which mainly based on the flourier relationship between power spectral density distribution and spatial autocorrelation function. we can obtain integrated surface roughness at different frequencies by this method. besides "geometric" roughness, this integrated surface roughness not only contains "dielectric" roughness but also includes frequency dependence. combined with q/h model the polarization coupling coefficient can also be obtained for both h and v polarization. meanwhile, the simulated numerical results show that radiometer with a sensitivity of 0.1 k can distinguish the different surface roughness and the change of roughness with frequency for the same rough surface. this confirms the feasibility of radiometer sampling method for estimating the surface roughness theoretically. this method overcomes the problem of "dielectric" roughness measurement to some extent and can achieve the integrated surface roughness within a microwave pixel which can serve soil moisture inversion better than the "geometric" roughness. |
| WOS关键词 | SOIL-MOISTURE ; REFLECTIVITY MODEL ; EMISSION ; MISSION ; SMOS |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000279814200007 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2410967 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Zhao Kai |
| 作者单位 | 1.Chinese Acad Sci, NE Inst Geog & Agroecol, Changchun 130012, Peoples R China 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng Xingming,Zhao Kai. A method for surface roughness parameter estimation in passive microwave remote sensing[J]. Chinese geographical science,2010,20(4):345-352. |
| APA | Zheng Xingming,&Zhao Kai.(2010).A method for surface roughness parameter estimation in passive microwave remote sensing.Chinese geographical science,20(4),345-352. |
| MLA | Zheng Xingming,et al."A method for surface roughness parameter estimation in passive microwave remote sensing".Chinese geographical science 20.4(2010):345-352. |
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来源：中国科学院大学
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