Land surface emissivity retrieval from satellite data
文献类型：SCI/SSCI论文
| 作者 | Qiu S.; Wu H. |
| 发表日期 | 2013 |
| 关键词 | thermal infrared data airborne imaging spectrometer reflection radiometer aster 2-step physical algorithm m atmospheric window remote-sensing data mu-m directional emissivity bidirectional reflectance split-window |
| 英文摘要 | As an intrinsic property of natural materials, land surface emissivity (LSE) is an important surface parameter and can be derived from the emitted radiance measured from space. Besides radiometric calibration and cloud detection, two main problems need to be resolved to obtain LSE values from space measurements. These problems are often referred to as land surface temperature (LST) and emissivity separation from radiance at ground level and as atmospheric corrections in the literature. To date, many LSE retrieval methods have been proposed with the same goal but different application conditions, advantages, and limitations. The aim of this article is to review these LSE retrieval methods and to provide technical assistance for estimating LSE from space. This article first gives a description of the theoretical basis of LSE measurements and then reviews the published methods. For clarity, we categorize these methods into (1) (semi-)empirical or theoretical methods, (2) multi-channel temperature emissivity separation (TES) methods, and (3) physically based methods (PBMs). This article also discusses the validation methods, which are of importance in verifying the uncertainty and accuracy of retrieved emissivity. Finally, the prospects for further developments are given. |
| 出处 | International Journal of Remote Sensing |
| 卷 | 34 |
| 期 | 9-10 |
| 页 | 3084-3127 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0143-1161 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30423]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Qiu S.,Wu H.. Land surface emissivity retrieval from satellite data. 2013. |
入库方式： OAI收割
来源：地理科学与资源研究所
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