Split-window algorithm for land surface temperature estimation from MSG1-SEVIRI data
文献类型:EI期刊论文
作者 | Jiang G. M. ; Li Z. L. |
发表日期 | 2008 |
关键词 | Atmospheric temperature Electromagnetic wave emission Estimation Geophysical prospecting Geostationary satellites Ketones Offshore oil well production Space time adaptive processing Surface measurement Surface properties Switching sy |
英文摘要 | This letter addresses the land surface temperature (LST) estimation from the data acquired by the spinning enhanced visible and infra-red imager (SEVIRI) on board the first geostationary satellite meteosat second generation (MSG1) using the generalized split-window algorithm proposed by Wan and Dozier (1996). The generalized split-window algorithm was developed for eight view zenith angles (VZAs) by dividing the LST, the average emissivity (Ε) and the column water vapour (W) into several sub-ranges to improve the LST estimating accuracy. The simulated results show that the root mean square errors (RMSEs) increase with VZAs and W, and they are less than 1.0 K for all sub-ranges with the VZA less than 45 °, or for the sub-ranges with VZA less than 60 ° and W less than 3.5 cm. The land surface emissivities (LSEs) and W used in the generalized split-window algorithm were estimated from MSG1-SEVIRI data by the method developed by us in previous studies. The results at the four specific locations show that the LSEs were well derived, and the LSTs estimated from MSG1-SEVIRI data are basically consistent with the ones extracted from MODIS/Terra LST products. |
出处 | International Journal of Remote Sensing |
卷 | 29期:20页:6067-6074 |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/24853] |
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 | Jiang G. M.,Li Z. L.. Split-window algorithm for land surface temperature estimation from MSG1-SEVIRI data. 2008. |
入库方式: OAI收割
来源:地理科学与资源研究所
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