Soil-vegetation-atmosphere radiative transfer model in microwave region
文献类型:期刊论文
作者 | Li ZhaoLiang(李召良)![]() |
刊名 | CHINESE GEOGRAPHICAL SCIENCE
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出版日期 | 2008 |
卷号 | 18期号:2页码:171-177 |
关键词 | soil-vegetation-atmosphere system radiative transfer model microwave remote sensing |
ISSN号 | 1002-0063 |
通讯作者 | Jia YY |
学科主题 | Environmental Sciences |
收录类别 | SCI |
语种 | 英语 |
公开日期 | 2011-06-10 |
附注 | The radiative transfer is one of the significant theories that describe the processes of scattering, emission, and absorption of electromagnetic radiant intensity through scattering medium. It is the basis of the study on the quantitative remote sensing. In this paper, the radiative characteristics of soil, vegetation, and atmosphere were described respectively. The numerical solution of radiative transfer was accomplished by Successive Orders of Scattering (SOS). A radiative transfer model for simulating microwave brightness temperature over land surfaces was constructed, designed, and implemented. Analyzing the database generated from soil-vegetation-atmosphere radiative transfer model under Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) configuration showed that the atmospheric effects on microwave brightness temperature should not be neglected, particularly for higher frequency, and can be parameterized, At the same time, the relationship between the emissivities of the different channels was developed. The study results will promote the development of algorithm to retrieve geophysical parameters from microwave remotely sensed data. |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/4165] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
推荐引用方式 GB/T 7714 | Li ZhaoLiang. Soil-vegetation-atmosphere radiative transfer model in microwave region[J]. CHINESE GEOGRAPHICAL SCIENCE,2008,18(2):171-177. |
APA | Li ZhaoLiang.(2008).Soil-vegetation-atmosphere radiative transfer model in microwave region.CHINESE GEOGRAPHICAL SCIENCE,18(2),171-177. |
MLA | Li ZhaoLiang."Soil-vegetation-atmosphere radiative transfer model in microwave region".CHINESE GEOGRAPHICAL SCIENCE 18.2(2008):171-177. |
入库方式: OAI收割
来源:地理科学与资源研究所
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