Title :
Cross-Validation of Multi-source SST Data Based on Point-to-Point
Author :
Cuicui Song ; Lingyu Xu ; Hongmei Shi ; Fei Zhong ; Gaozhao Chen ; Yang Liu
Author_Institution :
Dept. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Now there are many researches on the assessment of sea surface temperature(SST) by remote-sensing at home and abroad, most of which focus on cross-validation of SST data and on-site measured data. For the non-measured waters, it´s not easy to carry out assessment of SST, and now most of the assessment are an area average or macroscopic assessment based on the week, month, or specified period, these methods can´t provide the assessment products with precision from point to point. This paper proposes a mutual assessment model based on SST data and other fusion data of remote sensing data. For multi-source remote sensing SST, this model could provide us with higher-quality data, including the measurement efficiency, data distribution and credibility and so on.
Keywords :
ocean temperature; oceanographic techniques; remote sensing; SST assessment; area average assessment; assessment products; data credibility; data distribution; fusion data; higher-quality data; macroscopic assessment; measurement efficiency; multisource SST on-site measured data cross-validation; multisource remote sensing SST; mutual assessment model; nonmeasured waters; point-to-point precision; remote-sensing data; sea surface temperature assessment; Clustering algorithms; Data models; Monitoring; Ocean temperature; Remote sensing; Sea surface; Temperature sensors; SST data; assessment; cross-validation; point to point;
Conference_Titel :
Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-4873-7
DOI :
10.1109/CIT.2012.221
