The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies
文献类型：期刊论文
| 作者 | Zhang Jia-hua2; Li Xin2; Yao Feng-mei1,3; Li Xian-hua3 |
| 刊名 | Spectroscopy and spectral analysis
 |
| 出版日期 | 2009-08-01 |
| 卷号 | 29期号:8页码:2103-2107 |
| 关键词 | Tir Microwave Land surface temperature (lst) Remote sensing retrieval Emissivity |
| ISSN号 | 1000-0593 |
| DOI | 10.3964/j.issn.1000-0593(2009)08-2103-05 |
| 通讯作者 | Yao feng-mei(yaofm@gucas.ac.cn) |
| 英文摘要 | Land surface temperature (lst) is an important parameter in the study on the exchange of substance and energy between land surface and air for the land surface physics process at regional and global scales. many applications of satellites remotely sensed data must provide exact and quantificational lst, such as drought, high temperature, forest fire, earthquake, hydrology and the vegetation monitor, and the models of global circulation and regional climate also need lst as input parameter. therefore, the retrieval of lst using remote sensing technology becomes one of the key tasks in quantificational remote sensing study. normally, in the spectrum bands, the thermal infrared (tir, 3-15 mu m) and microwave bands (1 mm-1 m) are important for retrieval of the lst. in the present paper, firstly, several methods for estimating the lst on the basis of thermal infrared (tir) remote sensing were synthetically reviewed, i.e., the lst measured with an ground-base infrared thermometer, the lst retrieval from mono-window algorithm (mwa), single-channel algorithm (sca), split-window techniques (swt) and multi-channels algorithm(mca), single-channel &- multi-angle algorithm and multi-channels algorithm & multi-angle algorithm, and retrieval method of land surface component temperature using thermal infrared remotely sensed satellite observation. secondly, the study status of land surface emissivity (e) was presented. thirdly, in order to retrieve lst for all weather conditions, microwave remotely sensed data, instead of thermal infrared data, have been developed recently, and the lst retrieval method from passive microwave remotely sensed data was also introduced. finally, the main merits and shortcomings of different kinds of lst retrieval methods were discussed, respectively. |
| WOS关键词 | EMISSIVITY ; ALGORITHM ; RADIOMETER ; REGION |
| WOS研究方向 | Spectroscopy |
| WOS类目 | Spectroscopy |
| 语种 | 英语 |
| WOS记录号 | WOS:000269998800022 |
| 出版者 | OFFICE SPECTROSCOPY & SPECTRAL ANALYSIS |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2402787 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Yao Feng-mei |
| 作者单位 | 1.Chinese Acad Sci, Grad Univ, Coll Geosci, Beijing 100049, Peoples R China 2.Chinese Acad Meteorol Sci, Lab Remote Sensing & Climate Informat Sci, Beijing 100081, Peoples R China 3.Shanghai Univ, Res Ctr Remote Sensing & Spatial Informat Sci, Shanghai 200072, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang Jia-hua,Li Xin,Yao Feng-mei,et al. The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies[J]. Spectroscopy and spectral analysis,2009,29(8):2103-2107. |
| APA | Zhang Jia-hua,Li Xin,Yao Feng-mei,&Li Xian-hua.(2009).The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies.Spectroscopy and spectral analysis,29(8),2103-2107. |
| MLA | Zhang Jia-hua,et al."The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies".Spectroscopy and spectral analysis 29.8(2009):2103-2107. |
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来源：中国科学院大学
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