中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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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