中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Retrieval of Sea and Land Surface Temperature From SVISSR/FY-2C/D/E Measurements

文献类型:SCI/SSCI论文

作者Jiang G. M. ; Liu R. G.
发表日期2014
关键词Generalized split-window algorithm land surface temperature (LST) retrieval sea surface temperature (SST) Stretched Visible and Infrared Spin Scan Radiometer (SVISSR)/FengYun 2 (FY-2) measurements split-window algorithm emissivity satellite validation radiometer eos/modis channels space water
英文摘要This paper addresses the retrieval of sea surface temperature (SST) and land surface temperature (LST) from the measurements acquired by the Stretched Visible and Infrared Spin Scan Radiometer (SVISSR) on FengYun (FY) 2C/D/E satellites. First, the generalized split-window algorithms for SST and LST retrieval were developed using the moderate spectral resolution atmospheric transmittance algorithm and computer model (MODTRAN) fed with the parameter-adjusted standard model atmospheres. Then, the developed algorithms were applied to SST and LST retrieval from the SVISSR/FY-2C/D measurements in September 2007 and the SVISSR/FY-2E measurements in May 2010 over a large study area (latitude: 10 degrees S-50 degrees N; longitude: 60 degrees E-130 degrees E). Finally, the derived SVISSR/FY-2 SST and LST were, respectively, cross-validated with the MODIS/Terra SST and LST products. The results show the following: 1) the generalized split-window algorithms developed in this work are valid for both SST and LST retrieval from SVISSR/FY-2C/D/E measurements; 2) in contrast to the MODIS/Terra SST and LST products, the errors in nighttime retrieval are usually less than that in daytime retrieval, and the errors in SVISSR/FY-2 SST are generally less than the errors in SVISSR/FY-2 LST; and 3) for both daytime and nighttime, the total errors in SVISSR/FY-2C/D/E LST are, respectively, 0.3 +/- 1.6 K, 0.3 +/- 1.9 K, and 1.0 +/- 1.8 K, while the total errors in SVISSR/FY-2C/D/E SST are, respectively, -0.6 +/- 1.3 K, -0.2 +/- 1.5 K, and 0.4 +/- 1.8 K.
出处Ieee Transactions on Geoscience and Remote Sensing
52
10
6132-6140
收录类别SCI
语种英语
ISSN号0196-2892
源URL[http://ir.igsnrr.ac.cn/handle/311030/29800]  
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.,Liu R. G.. Retrieval of Sea and Land Surface Temperature From SVISSR/FY-2C/D/E Measurements. 2014.

入库方式: OAI收割

来源:地理科学与资源研究所

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