| Autor: |
Shi, Hongmei, Xu, Lingyu, Song, Cuicui, Luo, Xiangfeng, Zhong, Fei, Liu, Yang |
| Zdroj: |
2012 Second International Conference on Cloud & Green Computing; 1/ 1/2012, p765-769, 5p |
| Abstrakt: |
Using thirteen satellites sea surface temperature (SST) from infrared radiometers (AVHRR, MODIS) and microwave radiometers (TMI, AMSR), a set of high-quality, cloud-free, high-resolution(0.25°) merged SST product was generated through a method of extended revisal point. The area of merged SST product and extended revisal point product [15.875-40.125°N, 105.875-130.125°E] cover the whole China Sea. The experimental results show that the number of extension correct point will be hundreds of thousands times as many as in-situ SST data. It only has a small deviation by comparison with in-situ SST data, and the precision between the two is similar. Therefore, extension correct point can replace in-situ data under certain conditions. This study will offer a wider SST reference corrections data for quality evaluation, multi-source remote sensing, and assimilation technology. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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