Title :
A Method of Extracting High Precision Point to Replace in-situ SST Data
Author :
Hongmei Shi ; Lingyu Xu ; Cuicui Song ; Xiangfeng Luo ; Fei Zhong ; Yang Liu
Author_Institution :
Dept. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
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.
Keywords :
infrared detectors; microwave detectors; ocean temperature; oceanographic techniques; radiometers; remote sensing; sensor fusion; AMSR; AVHRR; China Sea; MODIS; SST reference corrections data; TMI; assimilation technology; cloud-free merged SST product; extended revisal point method; extended revisal point product; extension correct point; high precision point extraction; high-quality merged SST product; high-resolution merged SST product; in-situ SST data replacement; infrared radiometers; microwave radiometers; multisource remote sensing; quality evaluation; satellites sea surface temperature; MODIS; Ocean temperature; Remote sensing; Satellites; Sea surface; Temperature distribution; Temperature measurement; China sea; SST detection; data validation; error; high precision point;
Conference_Titel :
Cloud and Green Computing (CGC), 2012 Second International Conference on
Conference_Location :
Xiangtan
Print_ISBN :
978-1-4673-3027-5
DOI :
10.1109/CGC.2012.30
