A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data
文献类型：EI期刊论文
| 作者 | Li Zhaoliang |
| 发表日期 | 2007 |
| 关键词 | Algorithms Regression analysis Satellite imagery Satellite observatories Surface roughness Temperature |
| 英文摘要 | AMSR-E and MODIS are two EOS (Earth Observing System) instruments on board the Aqua satellite. A regression analysis between the brightness of all AMSR-E bands and the MODIS land surface temperature product indicated that the 89 GHz vertical polarization is the best single band to retrieve land surface temperature. According to simulation analysis with AIEM, the difference of different frequencies can eliminate the influence of water in soil and atmosphere, and also the surface roughness partly. The analysis results indicate that the radiation mechanism of surface covered snow is different from others. In order to retrieve land surface temperature more accurately, the land surface should be at least classified into three types: water covered surface, snow covered surface, and non-water and non-snow covered land surface. In order to improve the practicality and accuracy of the algorithm, we built different equations for different ranges of temperature. The average land surface temperature error is about 2-3°C relative to the MODIS LST product. © Science in China Press 2007. |
| 出处 | Science in China, Series D: Earth Sciences
 |
| 卷 | 50期:7页:1115-1120 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24694]  |
| 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 | Li Zhaoliang. A physics-based statistical algorithm for retrieving land surface temperature from AMSR-E passive microwave data. 2007. |
入库方式： OAI收割
来源：地理科学与资源研究所
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